CN115639604B - Quantitative analysis method and system for underground cavern deep and shallow layer surrounding rock damage - Google Patents

Abstract

The application relates to a quantitative analysis method and a quantitative analysis system for underground cavern deep and shallow layer surrounding rock damage, and relates to the technical field of safety monitoring. The method comprises the following steps: acquiring surrounding rock shallow damage information of surrounding rock after damage occurs in an underground cavity through a loose ring test; acquiring surrounding rock deep damage information of surrounding rock after damage occurs in an underground cavity through microseismic monitoring; determining shallow surrounding rock damage degradation parameters according to surrounding rock shallow damage information and pre-stored first rock mass information of surrounding rock before damage occurs; and determining the deep surrounding rock damage degradation parameters according to the surrounding rock deep damage information and the pre-stored second rock mass information of the surrounding rock before damage. By adopting the method and the device, the damage condition of the deep and shallow layers of the surrounding rock can be quantitatively analyzed, data support which is more in line with the actual condition of the engineering site is provided for the stability evaluation and analysis of the surrounding rock of the underground cavern, and the excavation safety of the underground cavern group is comprehensively ensured.

Description

Quantitative analysis method and system for damage to surrounding rock in deep and shallow layers of underground caverns

Technical field

This application relates to the field of safety monitoring technology, and in particular to a method and system for quantitative analysis of damage to deep and shallow surrounding rocks in underground caverns.

Background technique

With the continuous improvement of the comprehensive development and utilization level of mineral resources, the industrial scale has gradually expanded, and the mineral industry has developed rapidly. During the mining process, dynamic disaster accidents such as large-scale collapses and water intrusions caused by underground surrounding rock being disturbed by mining often occur, causing heavy losses to people and property. Especially with the depletion of shallow mineral resources, deep mineral mining will become the norm. As the depth of mining continues to increase, the stress of the original rock gradually increases. Deep rock mass dynamic disaster accidents are more frequent than those in shallow areas and are becoming more and more serious. Complex trends. In order to ensure the construction safety of underground caverns such as mine tunnels, traffic tunnels, and water conservancy tunnels, it is necessary to obtain the real damage conditions of surrounding rocks. Therefore, a quantitative analysis method for deep and shallow surrounding rock damage in underground caverns is urgently needed.

Contents of the invention

Based on this, it is necessary to provide a quantitative analysis method and system for deep and shallow surrounding rock damage in underground caverns in response to the above technical problems.

In the first aspect, a method for quantitative analysis of damage to surrounding rocks in deep and shallow layers of underground caverns is provided. The method includes:

Obtain the shallow damage information of the surrounding rock after damage occurs in the underground cavern through the loosening circle test;

Obtain deep damage information of surrounding rock after damage occurs in the underground cavern through microseismic monitoring;

Determine the damage and degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before damage occurs;

According to the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs, the deep surrounding rock damage degradation parameter is determined.

As an optional implementation, the shallow damage information of the surrounding rock includes wave velocity information of the surrounding rock, the first rock mass information includes the original wave velocity of the rock mass and the original elastic modulus of the rock mass, and the shallow damage of the surrounding rock The deterioration parameters include the relaxation range of the surrounding rock, the damage coefficient of the surrounding rock within the relaxation range, and the elastic modulus of the surrounding rock within the relaxation range, which is based on the shallow damage information of the surrounding rock and the pre-stored third value of the surrounding rock before damage occurs. 1. Rock mass information to determine the damage and deterioration parameters of shallow surrounding rock, including:

Determine the surrounding rock relaxation range and the average wave speed within the surrounding rock relaxation range according to the surrounding rock wave speed information;

According to the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the relaxation range and the damage to the surrounding rock within the relaxation range are determined coefficient.

As an optional implementation, the deep damage information of the surrounding rock includes the microseismic energy of the microseismic event, the coordinates of the microseismic source, and the radius of the microseismic source, and the second rock mass information includes the original elastic modulus of the rock mass and the seismic efficiency, so The damage and deterioration parameters of the deep surrounding rock include the damage coefficient of the surrounding rock and the elastic modulus of the surrounding rock within the influence range of the microseismic event. The second rock mass is based on the deep damage information of the surrounding rock and the pre-stored surrounding rock before the damage occurs. information to determine the damage and deterioration parameters of deep surrounding rock, including:

According to the microseismic energy and the seismic efficiency, determine the energy released in the form of microseisms by rock mass rupture in microseismic events;

Based on the numerical model of the underground cavern, according to the microseismic source coordinates and the microseismic source radius, determine the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event;

Determine the damage coefficient of surrounding rock within the influence range of the microseismic event based on the energy released in the form of microseisms by rock mass rupture in the microseismic event and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event;

According to the damage coefficient of the surrounding rock within the influence range of the microseismic event and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the influence range of the microseismic event is determined.

As an optional implementation, the numerical model based on the underground cavern determines the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event based on the microseismic source coordinates and the microseismic source radius, including:

Determine the influence range of the microseismic event in the numerical model based on the microseismic source coordinates and the microseismic source radius;

Determine the stress values and strain values of all rock mass units within the influence range of the microseismic event in the numerical model;

According to the stress values and strain values of all rock mass units within the influence range of the microseismic event, the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined.

As an optional implementation, the method further includes:

Conduct a blasting test in the underground cavern, and obtain the energy received by the sensor through the blasting test sensor;

The seismic efficiency is determined based on the pre-stored actual explosive energy corresponding to the blasting test and the energy received by the sensor.

As an optional implementation, the shallow damage information of the surrounding rock includes wave speed information of the surrounding rock, and the shallow damage information of the surrounding rock after damage occurs in the underground cavern is obtained through the loose circle test, including:

The single-hole acoustic wave method is used to obtain the wave velocity information of the surrounding rock after damage occurs in the underground cavern.

As an optional implementation, the deep damage information of the surrounding rock includes source information of microseismic events, and the acquisition of the deep damage information of the surrounding rock after damage occurs in the underground cavern through microseismic monitoring includes:

Obtain the elastic wave signal of the damaged surrounding rock in the underground cavern;

The source information of the microseismic event is determined based on the elastic wave signal.

As an optional implementation, the elastic modulus of the surrounding rock within the relaxation range is determined based on the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass, and the original elastic modulus of the rock mass. The formula of the quantity and the damage coefficient of the surrounding rock within the relaxation range is:

Among them, E ₁ is the elastic modulus of the surrounding rock within the relaxation range, E ₀ is the original elastic modulus of the rock mass, v _p is the average wave speed within the relaxation range of the surrounding rock, v _p0 is the original wave speed of the rock mass, α is the relaxation range The damage coefficient of surrounding rock.

As an optional implementation method, it is determined based on the energy released by rock mass rupture in the form of microseisms in the microseismic event and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event. The surrounding rock damage coefficient includes:

The ratio of the energy released by rock mass rupture in the form of microseisms in the microseismic event to the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined as the damage coefficient of the surrounding rock within the influence range of the microseismic event.

As an optional implementation, the formula for determining the elastic modulus of the surrounding rock within the influence range of the microseismic event is based on the damage coefficient of the surrounding rock within the influence range of the microseismic event and the original elastic modulus of the rock mass. for:

Among them, E ₂ is the elastic modulus of the surrounding rock within the influence range of the microseismic event, D is the damage coefficient of the surrounding rock within the influence range of the microseismic event, and E ₀ is the original elastic modulus of the rock mass.

In the second aspect, a quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns is provided. The system includes:

A loosening circle testing system is used to perform loosening circle testing on underground caverns to obtain shallow damage information on surrounding rocks after damage occurs in the underground caverns;

A microseismic monitoring system is used to conduct microseismic monitoring of the underground cavern to obtain deep damage information of the surrounding rock after damage occurs in the underground cavern;

Surrounding rock damage analysis device, configured to determine shallow surrounding rock damage degradation parameters based on the shallow surrounding rock damage information and pre-stored first rock mass information of the surrounding rock before damage occurs;

The surrounding rock damage analysis device is also used to determine the deep surrounding rock damage degradation parameters based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs.

As an optional implementation, the shallow damage information of the surrounding rock includes wave velocity information of the surrounding rock, the first rock mass information includes the original wave velocity of the rock mass and the original elastic modulus of the rock mass, and the shallow damage of the surrounding rock The deterioration parameters include the relaxation range of the surrounding rock, the damage coefficient of the surrounding rock within the relaxation range, and the elastic modulus of the surrounding rock within the relaxation range. The surrounding rock damage analysis device is specifically used for:

Determine the surrounding rock relaxation range and the average wave speed within the surrounding rock relaxation range according to the surrounding rock wave speed information;

According to the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the relaxation range and the damage to the surrounding rock within the relaxation range are determined coefficient.

As an optional implementation, the deep damage information of the surrounding rock includes the microseismic energy of the microseismic event, the coordinates of the microseismic source, and the radius of the microseismic source, and the second rock mass information includes the original elastic modulus of the rock mass and the seismic efficiency, so The damage and deterioration parameters of the deep surrounding rock include the damage coefficient of the surrounding rock and the elastic modulus of the surrounding rock within the influence range of the microseismic event. The surrounding rock damage analysis device is specifically used for:

According to the microseismic energy and the seismic efficiency, determine the energy released in the form of microseisms by rock mass rupture in microseismic events;

Based on the numerical model of the underground cavern, according to the microseismic source coordinates and the microseismic source radius, determine the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event;

Determine the damage coefficient of surrounding rock within the influence range of the microseismic event based on the energy released in the form of microseisms by rock mass rupture in the microseismic event and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event;

According to the damage coefficient of the surrounding rock within the influence range of the microseismic event and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the influence range of the microseismic event is determined.

As an optional implementation, the surrounding rock damage analysis device is specifically used for:

Determine the influence range of the microseismic event in the numerical model based on the microseismic source coordinates and the microseismic source radius;

Determine the stress values and strain values of all rock mass units within the influence range of the microseismic event in the numerical model;

According to the stress values and strain values of all rock mass units within the influence range of the microseismic event, the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined.

As an optional implementation, the quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns also includes:

A blasting device used to conduct blasting tests in the underground cavern;

A blast test sensor, used to obtain the energy received by the sensor during the blast test;

A seismic efficiency analysis device configured to determine the seismic efficiency based on the pre-stored actual explosive energy corresponding to the blasting test and the energy received by the sensor.

As an optional implementation, the surrounding rock shallow damage information includes surrounding rock wave speed information, and the loose circle testing system is specifically used for:

The single-hole acoustic wave method is used to obtain the wave velocity information of the surrounding rock after damage occurs in the underground cavern.

As an optional implementation, the deep damage information of the surrounding rock includes source information of microseismic events. The microseismic monitoring system is specifically used for:

Obtain the elastic wave signal of the damaged surrounding rock in the underground cavern;

The source information of the microseismic event is determined based on the elastic wave signal.

As an optional implementation, the microseismic monitoring system includes a microseismic sensor, a microseismic data acquisition subsystem, a microseismic data processing subsystem, and a calculation and analysis subsystem, and the microseismic sensor is connected to the microseismic data acquisition subsystem, The microseismic data acquisition subsystem is connected to the microseismic data processing subsystem, and the microseismic data processing subsystem is connected to the calculation and analysis subsystem.

In a third aspect, a computer device is provided, including a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, it implements the method described in the first aspect. method steps.

A fourth aspect provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method steps described in the first aspect are implemented.

This application provides a method and system for quantitative analysis of deep and shallow surrounding rock damage in underground caverns. The technical solution provided by the embodiments of this application at least brings the following beneficial effects: First, through the loose circle test, the damage after damage in the underground cavern is obtained The shallow damage information of the surrounding rock is obtained through microseismic monitoring, and the deep damage information of the surrounding rock after damage occurs in the underground cavern is obtained. Then, the computer equipment determines the damage degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs. Based on the deep damage information of the surrounding rock and the pre-stored first rock mass information before the damage occurs, The second rock mass information of the surrounding rock is used to determine the damage and degradation parameters of the deep surrounding rock. This application can be used to obtain quantitative analysis results of deep and shallow damage to the surrounding rock in underground caverns. It can provide data support for the stability evaluation and analysis of the surrounding rock of underground caverns that is more in line with the actual conditions of the engineering site, and comprehensively guarantee the stability of the deeply buried underground caverns. Excavation safety.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present application.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of a method for quantitative analysis of damage to surrounding rock in deep and shallow layers of underground caverns provided by an embodiment of the present application;

Figure 2 is a layout diagram of a certain cross-section drilling hole during the loosening circle test of the surrounding rock of a large underground factory provided by the embodiment of the present application;

Figure 3 is a three-dimensional visualization display of the microseismic sensor and microseismic events of a large underground factory provided by the embodiment of the present application;

Figure 4 is a fitting diagram of the hole depth-wave speed curve of the top arch 2282 elevation measurement hole provided by the embodiment of the present application;

Figure 5 is a fitting diagram of the hole depth-wave speed curve of the side wall 2270 elevation measurement hole provided by the embodiment of the present application;

Figure 6 is a flow chart of a quantitative analysis method for damage and degradation parameters of deep surrounding rock in underground caverns provided by an embodiment of the present application;

Figure 7 is a schematic diagram of a three-dimensional numerical model including an underground cavern group provided by an embodiment of the present application;

Figure 8 is a schematic structural diagram of a quantitative analysis system for deep and shallow surrounding rock damage in underground caverns provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

The quantitative analysis method for damage to surrounding rocks in deep and shallow layers of underground caverns provided by the embodiments of this application can be applied to the field of feedback analysis of underground caverns. Specifically, it can be applied to the construction control of underground caverns such as mine tunnels, traffic tunnels, and water conservancy tunnels. By quantitatively analyzing the damage degree of the rock mass in the deep and shallow layers of the underground caverns, the surrounding rocks of the underground caverns can be more comprehensively considered. Damage conditions provide data support for the stability evaluation and analysis of the surrounding rock of the underground cavern that is more in line with the actual conditions of the project site, ensuring the construction safety of the underground cavern.

A quantitative analysis method for damage to surrounding rock at deep and shallow layers of an underground cavern provided by an embodiment of the present application will be described in detail below in conjunction with the specific implementation. Figure 1 shows damage to surrounding rock at deep and shallow layers of an underground cavern provided by an embodiment of the present application. The flow chart of the quantitative analysis method is shown in Figure 1. The specific steps are as follows:

Step 101: Obtain the shallow damage information of the surrounding rock after damage occurs in the underground cavern through the loose circle test.

During the construction process of underground caverns such as mine tunnels, traffic tunnels, and water conservancy tunnels, the disturbance caused by mining will cause stress redistribution in the rock mass (i.e., surrounding rock) around the cavern. In order to ensure construction safety, it is necessary to obtain the stress in the underground cavern. It is very necessary to determine the parameters after damage and degradation of the surrounding rock. Among them, the loosening circle test in the underground cavern can be used to understand the impact of mining on the surrounding rock, especially the damage caused to the shallow surrounding rock, such as the rock mass rupture that occurred near the free surface of the underground cavern at the moment of blasting unloading. Condition. In this application, considering the advantages of the loose circle test in detecting shallow surrounding rock, the loose circle test is used to obtain the shallow damage information of the surrounding rock after damage occurs in the underground cavern. Among them, the loose circle test can use the acoustic wave method, the multi-point displacement meter method, the geological radar electromagnetic wave reflection method, the seismic wave method, etc. The shallow damage information of surrounding rock may include surrounding rock wave velocity information.

As an optional implementation, the shallow damage information of the surrounding rock includes the wave speed information of the surrounding rock. The processing process of obtaining the shallow damage information of the surrounding rock after damage occurs in the underground cavern through the loose circle test can be a single The borehole acoustic wave method is used to obtain the wave velocity information of the surrounding rock after damage occurs in the underground cavern.

In implementation, the single-hole acoustic wave method can be used to test the loosening zone of the surrounding rock in the underground cavern. First, the engineering staff selected typical sections in the underground cavern for loosening circle testing through data research and demand analysis. Then, the engineers made measuring holes in the typical section of the underground cavern. Preferably, the hole making requirements for underground caverns are as follows: the diameter of the drilling hole is not less than 60mm, the depth of the hole is not less than 6m, the direction of the top arch hole and spandrel hole is in the radial direction, and the side wall holes are inclined holes to facilitate water storage. The horizontal slope shall not be less than 5°. Figure 2 is a layout diagram of a certain section of measuring holes in the loosening circle test of the surrounding rock of a large underground factory provided by the embodiment of the present application. As shown in Figure 2, the section includes 14 measuring holes, including 2282.0, 2275.0, 2270.0, etc. The number represents the measured orifice elevation, for example, 2282.0 means the orifice elevation is 2282.0m.

After the hole making was completed, the engineers conducted single-hole acoustic tests on each measuring hole in a typical section to obtain the wave velocity information of the surrounding rock after damage occurred in the underground cavern. Among them, the surrounding rock wave speed information can be the single-point wave speed measurement value of each measuring hole. Preferably, the equipment used in the loose ring test includes a digital sonic meter, a cable and a sound wave transmitting probe, and the digital sonic meter and the sound wave transmitting probe are connected through a cable. In addition, after the hole making is completed, the drill hole needs to be flushed with clean water, and no cuttings or pieces should be left in the hole to ensure that the detection probe can enter and exit smoothly. Preferably, the test process of the single-hole sonic method is as follows: in the first step, the test hole that has completed the drilling work is filled with running water; in the second step, the sound wave transmitting probe is sent to the bottom of the hole to activate the sound wave function for a data collection. And verify whether the acoustic waveform meets the requirements; in the third step, drag the acoustic wave transmitting probe 20cm toward the orifice, and activate the acoustic wave function again to complete the second data collection; in the fourth step, repeat dragging the acoustic wave transmitting probe toward the orifice. Move 20cm and activate the sound wave function to complete the data collection steps until the sound wave transmitting probe is dragged to the orifice to complete the last data collection; the fifth step is to organize the instrument and return to the camp for data processing and sorting.

Step 102: Obtain deep damage information of surrounding rock after damage occurs in the underground cavern through microseismic monitoring.

In implementation, when rupture damage occurs to the surrounding rock of underground caverns caused by mining disturbances, the spatial location and characteristics of the surrounding rock damage can be directly obtained through microseismic monitoring. Considering that microseismic monitoring can capture rock microfracture information in real time and has a large monitoring range of surrounding rocks, in this application, microseismic monitoring is used to obtain deep damage information of surrounding rocks after damage occurs in underground caverns. Among them, the deep damage information of surrounding rock can be microseismic data obtained through microseismic monitoring, including microseismic energy of microseismic events, microseismic source coordinates, microseismic source radius and other source information.

As an optional implementation, the deep damage information of surrounding rock includes the source information of microseismic events. The processing process of this application to obtain the deep damage information of surrounding rock after damage occurs in the underground cavern through microseismic monitoring is as follows:

Step 1: Obtain the elastic wave signal of the damaged surrounding rock in the underground cavern.

In implementation, the deep damage information of the surrounding rock, that is, the source information of microseismic events, can be obtained through the microseismic monitoring system installed in the underground cavern to capture and analyze the microseismic events that occur in the surrounding rock of the underground cavern in real time. Among them, the microseismic monitoring system includes a microseismic sensor, a microseismic data acquisition subsystem, a microseismic data processing subsystem, and a calculation and analysis subsystem. The microseismic sensor is connected to the microseismic data acquisition subsystem, and the microseismic data acquisition subsystem is connected to the microseismic data processing subsystem. The microseismic data processing subsystem is connected to the calculation and analysis subsystem. The microseismic sensor is pre-embedded in the wall of the underground cavern. It can capture the elastic wave signal from the surrounding rock in the underground cavern in real time, convert the elastic wave signal into an electrical signal and transmit it to the microseismic data acquisition subsystem. Preferably, the microseismic sensor is buried in a drilled hole on the wall of the underground cavern. The requirements for the buried drilled hole are as follows: aperture diameter of 50mm, hole depth of 2m, and an angle of about 15° upward. It should be noted that when the microseismic sensor is installed, the front end is fixed at the bottom of the hole with anchor resin and is in point contact with the complete rock mass. It can receive elastic wave signals from the surroundings within a 360° range. After installation, each microseismic sensor can Verify its reliability through a knock test, specifically hammering on the wall of the microseismic sensor hole. If the microseismic sensor channel that receives the hammer blow in the microseismic data acquisition subsystem is the first to receive the vibration signal, it means that the microseismic sensor is normal. Work.

Step 2: Determine the source information of the microseismic event based on the elastic wave signal.

During implementation, the microseismic data acquisition subsystem converts the received electrical signals into digital signals and then transmits them to the microseismic data processing subsystem. The microseismic data processing subsystem processes the received digital signals and transmits them to the calculation and analysis subsystem. The calculation and analysis subsystem calculates and analyzes the spatial orientation results of rock mass micro-ruptures to determine the source information of microseismic events. Among them, the source information of microseismic events includes the time of microseismic events, microseismic energy, microseismic source coordinates and microseismic source radius. For example, Table 1 shows the source information of some microseismic events.

Table 1

For ease of understanding, the following is an application example of a microseismic monitoring system for a large underground factory provided by the embodiment of the present application: the microseismic monitoring system uses 10 microseismic sensors to perform 24-hour real-time monitoring of the rock mass (i.e. surrounding rock) around the main factory building. , microseismic sensors are arranged in the upper drainage corridor at certain intervals, forming a network that envelops the rock mass in the upper part of the factory building. See Table 2 for the spatial three-dimensional coordinates and location information of the microseismic sensors.

Table 2

Each microseismic sensor is connected to two parallel Paladin acquisition substations (microseismic data acquisition subsystem). When the rock mass breaks and releases elastic waves, the elastic wave signal is received by the microseismic sensor and converted into an electrical signal, which is transmitted to the microseismic sensor via a cable. In the connected Paladin acquisition substation, the Paladin acquisition substation converts it into a digital signal (A/D) and transmits it to a host computer equipped with Hyperion signal processing (i.e., microseismic data processing subsystem) through an optical fiber cable. In addition, in order to ensure the synchronization of the transmission signals of the 10 microseismic sensor channels, the two parallel Paladin acquisition substations use the PPS automatic timing system for time synchronization. In addition, in order to ensure real-time monitoring of the damage process of the surrounding rock rupture of the main powerhouse and timely risk prediction for the excavation construction of the underground powerhouse, a wireless network transmission system was subsequently constructed. Through the 4G network, the computer equipment in the camp office (i.e. Computing and analysis subsystem) remotely controls the host computer at the construction site, obtains signal data regularly, processes the source information of microseismic events in a timely manner and sends it back to the data analysis center to ensure the safety of underground factory construction. For example, Figure 3 is a three-dimensional visualization display of microseismic sensors and microseismic events in a large underground factory provided by an embodiment of the present application.

Step 103: Determine the damage and degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before damage occurs.

In the implementation, in order to quantitatively analyze the shallow damage of the surrounding rock in the underground cavern, the computer equipment determines the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs. Rock damage and degradation parameters are used for subsequent stability evaluation of underground caverns. Among them, the shallow surrounding rock damage and deterioration parameters include the rock relaxation range, the surrounding rock damage coefficient within the relaxation range, and the surrounding rock elastic modulus within the relaxation range.

As an optional implementation manner, the shallow damage information of the surrounding rock includes surrounding rock wave velocity information, the first rock mass information includes the original wave velocity of the rock mass and the original elastic modulus of the rock mass, and the shallow surrounding rock damage degradation parameters include surrounding rock relaxation. range, the damage coefficient of the surrounding rock within the relaxation range and the elastic modulus of the surrounding rock within the relaxation range. The computer equipment determines the shallow layer based on the damage information of the shallow layer of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs. The processing process of surrounding rock damage and degradation parameters is as follows:

Step 1: Determine the relaxation range of the surrounding rock and the average wave speed within the relaxation range of the surrounding rock based on the surrounding rock wave speed information.

In implementation, the computer equipment determines the relaxation range of the surrounding rock and the average wave speed within the relaxation range of the surrounding rock based on the surrounding rock wave speed information. Among them, the surrounding rock wave speed information is the single-point wave speed measurement value of each measuring hole. The computer equipment can determine the acoustic wave velocity attenuation rate of the surrounding rock based on the single-point wave velocity measurement value of the measuring hole. Based on the acoustic wave velocity attenuation rate of the surrounding rock, the wave speed at different depths of the measuring hole is divided into segments and the average wave speed of the segments is determined. When the average wave speed is When the change is greater than the wave speed change threshold, it means that the average wave speed has changed significantly. The depth is determined to be the relaxation range of the surrounding rock, and the average wave speed within the relaxation range of the surrounding rock is determined based on the wave speed measurements at each single point within the relaxation range of the surrounding rock. Among them, the wave speed change threshold can be set by engineers based on experience.

For example, the single-hole acoustic wave method was used to conduct a loosening circle test on the section with the stake number K0+70m after the first floor excavation of the underground cavern. Tables 3 and 4 show the 2282 elevation measurement holes in the top arch and the 2270 elevation measurement hole in the side wall respectively. The measured acoustic data obtained by sorting the single-point wave velocity measurements. Figures 4 and 5 show the hole depth-wave speed curve fitting obtained by sorting the single-point wave velocity measurements of the roof arch 2282 elevation measurement hole and the side wall 2270 elevation measurement hole respectively. picture. As shown in Figure 4, the average wave speed changes significantly at a depth of 1.2m. Therefore, it is determined that the relaxation range of the surrounding rock corresponding to the top arch 2282 elevation measurement hole is 1.2m, and the average wave speed within the relaxation range of the surrounding rock is 4772m/s. As shown in Figure 5, the average wave speed changes significantly at a depth of 0.8m. Therefore, it is determined that the relaxation range of the surrounding rock corresponding to the side wall 2270 elevation measurement hole is 0.8m, and the average wave speed within the relaxation range of the surrounding rock is 4483m/s.

table 3

Table 4

Step 2: Determine the elastic modulus of the surrounding rock within the relaxation range and the damage coefficient of the surrounding rock within the relaxation range based on the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass, and the original elastic modulus of the rock mass.

In the implementation, the computer equipment determines the elastic modulus of the surrounding rock within the relaxation range and the damage coefficient of the surrounding rock within the relaxation range based on the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass, thereby establishing The quantitative relationship between the loosening circle of the surrounding rock of the underground cavern and the shallow damage of the rock mass was established. Among them, the original wave velocity of the rock mass and the original elastic modulus of the rock mass can be obtained by engineers conducting laboratory tests on rock samples collected at the construction site, or they can be obtained through in-situ testing during the excavation process. Preferably, the computer equipment determines the elastic modulus of the surrounding rock within the relaxation range and the damage coefficient of the surrounding rock within the relaxation range based on the average wave speed of the surrounding rock, the original wave speed of the rock mass, and the original elastic modulus of the rock mass. The formula is:

Among them, E ₁ is the elastic modulus of the surrounding rock within the relaxation range, E ₀ is the original elastic modulus of the rock mass, v _p is the average wave speed within the relaxation range of the surrounding rock, v _po is the original wave speed of the rock mass, α is the relaxation range The damage coefficient of surrounding rock.

For ease of understanding, this application provides two methods for determining the elastic modulus and relaxation of the surrounding rock within the relaxation range in the same underground cavern based on the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass. Example of surrounding rock damage coefficient within the range. Among them, the original wave speed of the rock mass is 5500m/s, and the original elastic modulus of the rock mass is 35Gpa.

Embodiment 1: For the top arch 2282 elevation measurement hole, the measured acoustic data are shown in Table 2. The relaxation range of the surrounding rock is 1.2m, and the average wave speed within the relaxation range of the surrounding rock is 4772m/s. Therefore, the elastic modulus of the surrounding rock within the relaxation range of the top arch is 35×(4772÷5500) ² ≈23.14GPa, and the damage coefficient of the surrounding rock within the relaxation range of the top arch is 1-(23.14÷35)≈0.34.

Embodiment 2: For the side wall 2270 elevation measurement hole, the measured acoustic data are shown in Table 3. The relaxation range of the surrounding rock is 0.8m, and the average wave speed within the relaxation range of the surrounding rock is 4483m/s. Therefore, the elastic modulus of the surrounding rock within the relaxation range of the side wall is 35×(4483÷5500) ² ≈23.25GPa, and the damage coefficient of the surrounding rock within the relaxation range of the side wall is 1-(23.25÷35)≈0.34.

Step 104: Determine the damage degradation parameters of the deep surrounding rock based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs.

In implementation, the computer equipment determines the damage degradation parameters of the deep surrounding rock based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before the damage occurs. Among them, the damage and deterioration parameters of deep surrounding rock include the damage coefficient of surrounding rock and the elastic modulus of surrounding rock within the influence range of microseismic events. In order to more comprehensively consider the damage to the surrounding rock in the underground cavern and provide data support for the stability evaluation and analysis of the surrounding rock in the underground cavern that is more in line with the actual conditions of the engineering site, in addition to quantitative analysis of the shallow damage to the surrounding rock in the underground cavern , establish the quantitative relationship between the loosening circle of surrounding rock and rock mass damage, and obtain the damage degradation parameters of shallow surrounding rock. It is also necessary to quantitatively analyze the deep damage of surrounding rock in underground caverns, and establish the relationship between micro-rupture (microseismic) and rock mass damage. Through quantitative connection, the damage and deterioration parameters of deep surrounding rock are obtained, which can be jointly used for subsequent stability evaluation of underground caverns. For example, the damage degradation parameters of deep and shallow surrounding rocks are assigned to the numerical model to solve the displacement distribution, stress distribution, energy distribution, etc. of the surrounding rocks after considering the damage effect. The specific solution content can be determined according to the actual needs of different projects.

It should be noted that when rock mass rupture occurs near the free surface of the underground cavern at the moment of blasting unloading, the energy released by the shallow rupture damage of the surrounding rock is relatively small, and the blasting load dynamic wave is superimposed on the shallow rupture signal of the surrounding rock. Together, it is difficult to directly obtain the shallow damage information of the surrounding rock during this process through microseismic monitoring. Therefore, in the existing technology, when performing damage analysis and subsequent stability evaluation of underground caverns based on microseismic data obtained from microseismic monitoring, the microseismic monitoring lacks shallow damage information of the surrounding rock, and the rock mass parameters of the deep and shallow surrounding rock are will affect each other, which will cause the analysis and evaluation results to increase the strength of the shallow surrounding rock compared with the real situation (since the strength of the rock mass is directly related to the elastic modulus of the rock mass, usually, when the elastic modulus of the rock mass decreases , the strength of the rock mass decreases, and the bearing capacity decreases, while the elastic modulus of the rock mass of the shallow surrounding rock decreases after damage and degradation cannot be obtained through microseismic monitoring), that is, the bearing capacity of the shallow surrounding rock increases and the real The stress redistribution process is inconsistent with the actual engineering conditions. In addition, the above defects still exist when multiple factors (namely, damage degradation of deep surrounding rock and damage degradation of shallow surrounding rock) are separately considered and solved during the numerical simulation calculation process. In order to more comprehensively consider the damage to the surrounding rock of the underground cavern, this application also considers the damage and deterioration of the surrounding rock in the deep and shallow layers of the underground cavern when conducting the damage analysis of the underground cavern. When conducting subsequent stability evaluation, it can be obtained The application of the damage and degradation parameters of deep surrounding rock and the damage and degradation parameters of shallow surrounding rock in the same stability evaluation result (such as numerical simulation) can make the stability evaluation result more consistent with the actual situation of the project site and further improve the engineering The method of rock mass damage identification promotes the development of quantitative feedback analysis technology for underground engineering damage.

As an optional implementation, the deep surrounding rock damage information includes the microseismic energy of the microseismic event, the microseismic source coordinates, and the microseismic source radius. The second rock mass information includes the original elastic modulus of the rock mass and seismic efficiency. The deep surrounding rock damage degradation The parameters include the damage coefficient of the surrounding rock and the elastic modulus of the surrounding rock within the influence range of the microseismic event. Figure 6 is a flow chart of a quantitative analysis method for damage and degradation parameters of deep surrounding rock in underground caverns provided by the embodiment of the present application, as shown in Figure 6 As shown, the computer equipment determines the damage and degradation parameters of the deep surrounding rock based on the deep damage information of the surrounding rock and the pre-stored second rock mass information of the surrounding rock before the damage occurs as follows:

Step 601: Determine the energy released in the form of microseisms by rock mass rupture in microseismic events based on the microseismic energy and seismic efficiency.

In the implementation, it is assumed that the rock mass is stressed and stored in the elastic deformation process. When the energy is accumulated to a certain extent, the rock mass will fracture and release the energy in the form of microseismic. The computer equipment can obtain the microseismic energy based on the microseismic monitoring and the earthquake in the underground cavern. Efficiency, which determines the energy released in the form of microseisms by rock mass rupture during a microseismic event. Preferably, the energy released by rock mass rupture in the form of microseisms during microseismic events is the ratio of microseismic energy to seismic efficiency.

Step 602: Based on the numerical model of the underground cavern and the microseismic source coordinates and the microseismic source radius, determine the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event.

In the implementation, based on the numerical model of the underground cavern, computer equipment determines the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event based on the coordinates of the microseismic source and the radius of the microseismic source. Among them, the numerical model of the underground cavern can be a three-dimensional numerical model containing the underground cavern group established by engineers using numerical analysis software (such as FLAC 3D) and simulating the actual excavation process of the underground cavern group (as shown in Figure 7 Show). Based on the numerical model of the underground cavern, the elastic strain energy accumulated in the rock mass within the influence range of microseismic events can be determined more accurately.

As an optional implementation, the computer equipment is based on the numerical model of the underground cavern, and based on the microseismic source coordinates and the microseismic source radius, the processing process of determining the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is as follows:

Step 1: Determine the influence range of the microseismic event in the numerical model based on the microseismic source coordinates and microseismic source radius.

In the implementation, the computer equipment determines the influence range of the microseismic event in the numerical model based on the coordinates of the microseismic source and the radius of the microseismic source. For example, the microseismic source coordinates of a microseismic data are -107.1401 north, 43.59911 east, elevation 2284.999, and the microseismic source radius is 4.1m. According to the microseismic source coordinates, the corresponding XYZ coordinates of the microseismic event in the numerical model are determined to be (283.561, 126.150, 145.470 ), therefore, the influence range of this microseismic event is the spherical space in the numerical model with XYZ coordinates (283.561, 126.150, 145.470) as the center and 4.1m as the radius.

Step 2: Determine the stress values and strain values of all rock mass units within the influence range of the microseismic event in the numerical model.

In the implementation, computer equipment first accurately delineates all rock mass units within the scope of the microseismic event in the numerical model as the research object for the impact of the microseismic event. Then the stress values and strain values of all rock mass units within the range of the microseismic event are tracked and monitored to obtain the stress values and strain values of each rock mass unit.

Step 3: Based on the stress values and strain values of all rock mass units within the influence range of the microseismic event, determine the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event.

In the implementation, the computer equipment determines the elastic strain energy accumulated by all rock mass units within the influence range of the microseismic event based on the stress values and strain values of all rock mass units within the influence range of the microseismic event, and then combines the elastic strain energy of all rock mass units. The strain energy is added and summed to obtain the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event. Preferably, the formula used by the computer device to determine the elastic strain energy of the rock mass accumulation corresponding to the rock mass unit is:

Among them, U ^e represents the elastic strain energy accumulated in the rock mass, σ ₁ , σ ₂ and σ ₃ respectively represent the principal stress values of the rock mass unit, and ε ₁ , ε ₂ and ε ₃ respectively represent the principal strain values of the rock mass unit.

It should be noted that in the prior art, the elastic strain energy is generally obtained by obtaining the stress value through a stress meter and then determining the elastic strain energy. However, the stress value obtained by this method is only a range value for microseismic events. In this application, a numerical model is used to extract the stress values and strain values of all rock mass units within the influence range of microseismic events, and then determine the total elastic strain energy accumulated in the rock mass within the influence range of microseismic events. Compared with the existing technology, it can obtain more The elastic strain energy accumulated in the rock mass within the influence of a precise microseismic event.

Step 603: Determine the damage coefficient of the surrounding rock within the influence range of the microseismic event based on the energy released in the form of microseisms when the rock mass breaks during the microseismic event and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event.

In implementation, the computer equipment determines the ratio of the energy released in the form of microseisms by rock mass rupture during microseismic events to the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event as the damage coefficient of the surrounding rock within the influence range of the microseismic event.

Step 604: Determine the elastic modulus of the surrounding rock within the influence range of the microseismic event based on the damage coefficient of the surrounding rock within the influence range of the microseismic event and the original elastic modulus of the rock mass.

In the implementation, the computer equipment determines the elastic modulus of the surrounding rock within the influence range of the microseismic event based on the damage coefficient of the surrounding rock and the original elastic modulus of the rock mass within the influence range of the microseismic event. Among them, the original elastic modulus of the rock mass can be obtained by engineers conducting laboratory tests on rock samples collected at the construction site, or it can be obtained by in-situ testing during the excavation process. Preferably, the computer equipment determines the elastic modulus of the surrounding rock within the influence range of the microseismic event based on the damage coefficient of the surrounding rock and the original elastic modulus of the rock mass. The formula is:

Among them, E ₂ is the elastic modulus of the surrounding rock within the influence range of the microseismic event, D is the damage coefficient of the surrounding rock within the influence range of the microseismic event, and E ₀ is the original elastic modulus of the rock mass.

As an optional implementation, in order to obtain the seismic efficiency of the underground cavern, the processing process of this application also includes:

Step 1: Conduct a blasting test in the underground cavern and obtain the energy received by the sensor through the blasting test sensor.

During implementation, engineers can conduct on-site blasting tests in underground caverns and obtain the energy received by the sensors during the blasting process through multiple sets of pre-installed blasting test sensors.

Step 2: Determine the seismic efficiency based on the actual explosive energy corresponding to the pre-stored blasting test and the energy received by the sensor.

In implementation, the computer equipment determines the seismic efficiency based on the actual explosive energy corresponding to the pre-stored blasting test and the energy received by the sensor. Preferably, the average ratio of the energy received by multiple sets of sensors to the actual explosive energy is determined as the seismic efficiency of the underground cavern. For example, in an underground factory, if the average ratio of the sensor energy received by multiple groups of blast test sensors on site to the actual explosive energy is 1.5%, then the seismic efficiency of the underground factory is determined to be 1.5%.

In order to facilitate understanding, this application provides a method to determine the damage coefficient and elastic modulus of the surrounding rock within the influence range of the microseismic event based on the microseismic energy of the microseismic event, the microseismic source coordinates and the microseismic source radius, the original elastic modulus of the rock mass, and the seismic efficiency. Example:

Assume that in a certain underground cavern, the original elastic modulus of the rock mass is 35Gpa and the seismic efficiency is 1.5%. Through the microseismic monitoring system, it was obtained that the microseismic energy of a certain microseismic event is 167J, the microseismic source coordinates are -107.1401 north, 43.59911 east, elevation 2284.999, and the microseismic source radius is 4.1m. The process for computer equipment to determine the damage coefficient and elastic modulus of surrounding rock within the influence range of the microseismic event is as follows: In the first step, based on the microseismic energy and seismic efficiency, it is determined that the energy released by the rock mass rupture in the form of microseisms during the microseismic event is 167÷0.015≈11134J; In the second step, in the numerical model, according to the microseismic source coordinates and microseismic source radius of the microseismic event, the elastic strain energy of the rock mass accumulation in the influence range of the microseismic event is determined to be 8.52×10 ⁵ J; Chapter 1 In the third step, based on the energy released by the rock mass rupture in the form of microseisms in the microseismic event and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event, the damage coefficient of the surrounding rock within the influence range of the microseismic event is determined to be 11134÷852000≈1.3% ; The fourth step, based on the damage coefficient of the surrounding rock and the original elastic modulus of the rock mass within the influence range of the microseismic event, determine the elastic modulus of the surrounding rock within the influence range of the microseismic event to be (1-0.013) × 35 ≈ 34.95 Gpa.

The embodiments of this application provide a method for quantitative analysis of damage to deep and shallow layers of surrounding rock in an underground cavern. First, the loose circle test is used to obtain the shallow layer damage information of the surrounding rock after damage occurs in the underground cavern, and the underground cavern is obtained through microseismic monitoring. Deep damage information of surrounding rock after damage occurs in the cavern. Then, the computer equipment determines the damage degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs. Based on the deep damage information of the surrounding rock and the pre-stored first rock mass information before the damage occurs, The second rock mass information of the surrounding rock is used to determine the damage and degradation parameters of the deep surrounding rock. This application can be used to obtain quantitative analysis results of deep and shallow damage to the surrounding rock in underground caverns. It can provide data support for the stability evaluation and analysis of the surrounding rock of underground caverns that is more in line with the actual conditions of the engineering site, and comprehensively guarantee the stability of the deeply buried underground caverns. Excavation safety.

It should be understood that although the various steps in the flowcharts of Figures 1 and 6 are shown in sequence as indicated by arrows, these steps are not necessarily executed in the order indicated by arrows. Unless explicitly stated in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in Figures 1 and 6 may include multiple steps or stages. These steps or stages are not necessarily executed at the same time, but may be executed at different times. The order of execution is not necessarily sequential, but may be performed in turn or alternately with other steps or at least part of steps or stages in other steps.

It can be understood that the same/similar parts between the various embodiments of the above methods in this specification can be referred to each other. Each embodiment focuses on the differences from other embodiments. For relevant parts, please refer to other method embodiments. The description is enough.

The embodiment of the present application also provides a quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns. As shown in Figure 8, the system includes:

The loosening circle test system 810 is used to conduct loosening circle testing on underground caverns to obtain shallow damage information on surrounding rocks after damage occurs in the underground caverns;

The microseismic monitoring system 820 is used for microseismic monitoring of underground caverns to obtain deep damage information of surrounding rocks after damage occurs in the underground caverns;

The surrounding rock damage analysis device 830 is used to determine the damage and degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs;

The surrounding rock damage analysis device 830 is also used to determine the deep surrounding rock damage degradation parameters based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs.

As an optional implementation manner, the shallow damage information of the surrounding rock includes surrounding rock wave velocity information, the first rock mass information includes the original wave velocity of the rock mass and the original elastic modulus of the rock mass, and the shallow surrounding rock damage degradation parameters include surrounding rock relaxation. range, the surrounding rock damage coefficient within the relaxation range and the surrounding rock elastic modulus within the relaxation range. The surrounding rock damage analysis device is specifically used for:

Determine the relaxation range of the surrounding rock and the average wave speed within the relaxation range of the surrounding rock based on the surrounding rock wave speed information;

According to the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the relaxation range and the damage coefficient of the surrounding rock within the relaxation range are determined.

As an optional implementation, the deep surrounding rock damage information includes the microseismic energy of the microseismic event, the microseismic source coordinates, and the microseismic source radius. The second rock mass information includes the original elastic modulus of the rock mass and seismic efficiency. The deep surrounding rock damage degradation Parameters include the damage coefficient and elastic modulus of surrounding rock within the influence range of microseismic events. The surrounding rock damage analysis device is specifically used for:

Based on microseismic energy and seismic efficiency, determine the energy released in the form of microseisms by rock mass rupture during microseismic events;

Based on the numerical model of the underground cavern, according to the microseismic source coordinates and the microseismic source radius, the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined;

Based on the energy released in the form of microseisms by rock mass rupture during microseismic events and the elastic strain energy accumulated in the rock mass within the influence range of microseismic events, the damage coefficient of surrounding rocks within the influence range of microseismic events is determined;

According to the damage coefficient of the surrounding rock and the original elastic modulus of the rock mass within the influence range of the microseismic event, the elastic modulus of the surrounding rock within the influence range of the microseismic event is determined.

As an optional implementation, the surrounding rock damage analysis device is specifically used for:

According to the coordinates of the microseismic source and the radius of the microseismic source, the influence range of the microseismic event is determined in the numerical model;

Determine the stress and strain values of all rock mass units within the influence range of the microseismic event in the numerical model;

According to the stress values and strain values of all rock mass units within the influence range of the microseismic event, the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined.

As an optional implementation, the quantitative analysis system for deep and shallow surrounding rock damage in underground caverns also includes:

Explosive devices for conducting blasting tests in underground caverns;

Blasting test sensor, used to obtain the energy received by the sensor during the blasting test;

A seismic efficiency analysis device is used to determine the seismic efficiency based on the actual explosive energy corresponding to the pre-stored blasting test and the energy received by the sensor.

As an optional implementation, the shallow damage information of the surrounding rock includes the wave speed information of the surrounding rock. The loose circle testing system is specifically used for:

The single-hole acoustic wave method is used to obtain the wave velocity information of the surrounding rock after damage in the underground cavern.

As an optional implementation, the deep damage information of surrounding rock includes source information of microseismic events. The microseismic monitoring system is specifically used for:

Obtain the elastic wave signal of the damaged surrounding rock in the underground cavern;

Determine the source information of microseismic events based on elastic wave signals.

As an optional implementation mode, the microseismic monitoring system includes a microseismic sensor, a microseismic data acquisition subsystem, a microseismic data processing subsystem, and a calculation and analysis subsystem. The microseismic sensor is connected to the microseismic data acquisition subsystem, and the microseismic data acquisition subsystem is connected to The microseismic data processing subsystem is connected, and the microseismic data processing subsystem is connected to the calculation and analysis subsystem.

Embodiments of the present application provide a quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns. First, the loosening circle test is used to obtain the shallow damage information of the surrounding rock after damage occurs in the underground cavern, and the microseismic monitoring is used to obtain the deep damage information of the surrounding rock after damage occurs in the underground cavern. Then, the computer equipment determines the damage degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before the damage occurs. Based on the deep damage information of the surrounding rock and the pre-stored first rock mass information before the damage occurs, The second rock mass information of the surrounding rock is used to determine the damage and degradation parameters of the deep surrounding rock. This application can be used to obtain quantitative analysis results of deep and shallow damage to the surrounding rock in underground caverns. It can provide data support for the stability evaluation and analysis of the surrounding rock of underground caverns that is more in line with the actual conditions of the engineering site, and comprehensively guarantee the stability of the deeply buried underground caverns. Excavation safety.

Regarding the specific limitations of the quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns, please refer to the limitations on the quantitative analysis method of damage to surrounding rock in deep and shallow layers of underground caverns mentioned above, and will not be repeated here. Each module in the above-mentioned quantitative analysis system for deep and shallow surrounding rock damage in underground caverns can be realized in whole or in part through software, hardware and their combination. Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, as shown in Figure 9, including a memory and a processor. The memory stores a computer program that can be run on the processor. The processor executes the computer program. The above-mentioned method steps are used to realize the quantitative analysis of damage to surrounding rock in deep and shallow layers of underground caverns.

In one embodiment, a computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for quantitative analysis of damage to surrounding rock in deep and shallow layers of an underground cavern are implemented.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage. In the media, when executed, the computer program may include the processes of the above method embodiments. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations are mutually exclusive. any such actual relationship or sequence exists between them. Furthermore, the terms "comprises," "comprises," or any other variations thereof are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also those not expressly listed other elements, or elements inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or apparatus that includes the stated element.

It should also be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for display, analyzed data, etc.) involved in this application are all obtained from users. Information and data authorized or fully authorized by all parties.

Each embodiment in this specification is described in a related manner. The same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on its differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For relevant details, please refer to the partial description of the method embodiment.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims (9)

1. A quantitative analysis method for damage to surrounding rocks in deep and shallow layers of underground caverns, characterized in that the method includes: Obtain the shallow damage information of the surrounding rock after damage occurs in the underground cavern through the loosening circle test; Obtain deep damage information of surrounding rock after damage occurs in the underground cavern through microseismic monitoring; Determine the damage and degradation parameters of the shallow surrounding rock based on the shallow damage information of the surrounding rock and the pre-stored first rock mass information of the surrounding rock before damage occurs; Determine the damage degradation parameters of the deep surrounding rock based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs; The deep surrounding rock damage information includes microseismic energy, microseismic source coordinates and microseismic source radius of the microseismic event, the second rock mass information includes the original elastic modulus of the rock mass and seismic efficiency, and the deep surrounding rock damage degradation parameters include microseismic The damage coefficient and elastic modulus of the surrounding rock within the scope of the event, and the damage deterioration parameters of the deep surrounding rock are determined based on the deep damage information of the surrounding rock and the pre-stored second rock mass information of the surrounding rock before the damage occurs. , including: determining the energy released in the form of microseisms by rock mass rupture in microseismic events based on the microseismic energy and the seismic efficiency; determining based on the numerical model of the underground cavern, according to the microseismic source coordinates and the microseismic source radius. The elastic strain energy of the rock mass accumulated within the influence range of the microseismic event; the microseismic event is determined based on the energy released by the rock mass rupture in the form of microseisms and the elastic strain energy of the rock mass accumulation within the influence range of the microseismic event. The damage coefficient of the surrounding rock within the affected range of the event; determine the elastic modulus of the surrounding rock within the affected range of the microseismic event based on the damage coefficient of the surrounding rock within the affected range of the microseismic event and the original elastic modulus of the rock mass. 2. The method according to claim 1, wherein the shallow damage information of the surrounding rock includes wave velocity information of the surrounding rock, and the first rock mass information includes the original wave velocity of the rock mass and the original elastic modulus of the rock mass, so The damage and deterioration parameters of the shallow surrounding rock include the relaxation range of the surrounding rock, the damage coefficient of the surrounding rock within the relaxation range, and the elastic modulus of the surrounding rock within the relaxation range. According to the shallow damage information of the surrounding rock and the pre-stored damage occurrence The first rock mass information of the surrounding rock is used to determine the damage and degradation parameters of the shallow surrounding rock, including: Determine the surrounding rock relaxation range and the average wave speed within the surrounding rock relaxation range according to the surrounding rock wave speed information; According to the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass, the elastic modulus of the surrounding rock within the relaxation range and the damage to the surrounding rock within the relaxation range are determined coefficient. 3. The method according to claim 1, characterized in that the numerical model based on the underground cavern determines the location of rock mass accumulation within the influence range of the microseismic event based on the microseismic source coordinates and the microseismic source radius. Elastic strain energy, including: Determine the influence range of the microseismic event in the numerical model based on the microseismic source coordinates and the microseismic source radius; Determine the stress values and strain values of all rock mass units within the influence range of the microseismic event in the numerical model; According to the stress values and strain values of all rock mass units within the influence range of the microseismic event, the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event is determined. 4. The method according to claim 1, characterized in that, the method further comprises: Conduct a blasting test in the underground cavern, and obtain the energy received by the sensor through the blasting test sensor; The seismic efficiency is determined based on the pre-stored actual explosive energy corresponding to the blasting test and the energy received by the sensor. 5. The method according to claim 1, wherein the shallow layer damage information of the surrounding rock includes wave speed information of the surrounding rock, and the shallow layer of the surrounding rock after the damage occurs in the underground cavern is obtained through the loose circle test. Layer damage information, including: The single-hole acoustic wave method is used to obtain the wave velocity information of the surrounding rock after damage occurs in the underground cavern. 6. The method according to claim 1, wherein the deep damage information of surrounding rock includes source information of microseismic events, and the surrounding rock after damage occurs in the underground cavern is obtained through microseismic monitoring. Deep damage information, including: Obtain the elastic wave signal of the damaged surrounding rock in the underground cavern; The source information of the microseismic event is determined based on the elastic wave signal. 7. The method according to claim 2, characterized in that the relaxation range is determined based on the average wave speed within the relaxation range of the surrounding rock, the original wave speed of the rock mass and the original elastic modulus of the rock mass. The formulas for the elastic modulus of the surrounding rock within and the damage coefficient of the surrounding rock within the relaxation range are: Among them, E ₁ is the elastic modulus of the surrounding rock within the relaxation range, E ₀ is the original elastic modulus of the rock mass, v _p is the average wave speed within the relaxation range of the surrounding rock, v _p0 is the original wave speed of the rock mass, α is the relaxation range The damage coefficient of surrounding rock. 8. A quantitative analysis system for damage to surrounding rock in deep and shallow layers of underground caverns, characterized in that the system includes: A loosening circle testing system is used to perform loosening circle testing on underground caverns to obtain shallow damage information on surrounding rocks after damage occurs in the underground caverns; A microseismic monitoring system is used to conduct microseismic monitoring of the underground cavern to obtain deep damage information of the surrounding rock after damage occurs in the underground cavern; Surrounding rock damage analysis device, configured to determine shallow surrounding rock damage degradation parameters based on the shallow surrounding rock damage information and pre-stored first rock mass information of the surrounding rock before damage occurs; The surrounding rock damage analysis device is also used to determine the deep surrounding rock damage degradation parameters based on the deep surrounding rock damage information and the pre-stored second rock mass information of the surrounding rock before damage occurs; The deep surrounding rock damage information includes microseismic energy, microseismic source coordinates and microseismic source radius of the microseismic event, the second rock mass information includes the original elastic modulus of the rock mass and seismic efficiency, and the deep surrounding rock damage degradation parameters include microseismic The surrounding rock damage coefficient and the elastic modulus of the surrounding rock within the impact range of the event. The surrounding rock damage analysis device is specifically used to: based on the microseismic energy and the seismic efficiency, determine whether the rock mass rupture in the microseismic event will be released in the form of microseismic events. energy; based on the numerical model of the underground cavern, according to the microseismic source coordinates and the microseismic source radius, determine the elastic strain energy of the rock mass accumulated within the influence range of the microseismic event; according to the rock mass rupture in the microseismic event. The energy released in the form of microseisms and the elastic strain energy accumulated in the rock mass within the influence range of the microseismic event are used to determine the damage coefficient of the surrounding rock within the influence range of the microseismic event; based on the damage coefficient of the surrounding rock within the influence range of the microseismic event and the The original elastic modulus of the rock mass is determined to determine the elastic modulus of the surrounding rock within the influence range of the microseismic event. 9. The system according to claim 8, characterized in that the microseismic monitoring system includes a microseismic sensor, a microseismic data acquisition subsystem, a microseismic data processing subsystem and a calculation and analysis subsystem, and the microseismic sensor and the microseismic The data acquisition subsystem is connected, the microseismic data acquisition subsystem is connected to the microseismic data processing subsystem, and the microseismic data processing subsystem is connected to the calculation and analysis subsystem.