CN113700056A - Intelligent monitoring method for potential fracture area of reinforced retaining wall - Google Patents
Intelligent monitoring method for potential fracture area of reinforced retaining wall Download PDFInfo
- Publication number
- CN113700056A CN113700056A CN202111045714.0A CN202111045714A CN113700056A CN 113700056 A CN113700056 A CN 113700056A CN 202111045714 A CN202111045714 A CN 202111045714A CN 113700056 A CN113700056 A CN 113700056A
- Authority
- CN
- China
- Prior art keywords
- strain
- reinforced
- intelligent
- retaining wall
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000002787 reinforcement Effects 0.000 claims abstract description 11
- 239000000835 fiber Substances 0.000 claims description 40
- 239000013307 optical fiber Substances 0.000 claims description 24
- 238000012360 testing method Methods 0.000 claims description 19
- 238000001514 detection method Methods 0.000 claims description 11
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000008676 import Effects 0.000 abstract 1
- 239000010410 layer Substances 0.000 description 27
- 239000002689 soil Substances 0.000 description 20
- 238000005516 engineering process Methods 0.000 description 9
- 230000003287 optical effect Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 230000001939 inductive effect Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 210000003205 muscle Anatomy 0.000 description 3
- 230000008054 signal transmission Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 230000003014 reinforcing effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000004083 survival effect Effects 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 244000071131 Salix caprea Species 0.000 description 1
- 235000000516 Salix caprea Nutrition 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- LTINZAODLRIQIX-FBXRGJNPSA-N cefpodoxime proxetil Chemical compound N([C@H]1[C@@H]2N(C1=O)C(=C(CS2)COC)C(=O)OC(C)OC(=O)OC(C)C)C(=O)C(=N/OC)\C1=CSC(N)=N1 LTINZAODLRIQIX-FBXRGJNPSA-N 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 238000011534 incubation Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000011229 interlayer Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D33/00—Testing foundations or foundation structures
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D29/00—Independent underground or underwater structures; Retaining walls
- E02D29/02—Retaining or protecting walls
- E02D29/0225—Retaining or protecting walls comprising retention means in the backfill
- E02D29/0241—Retaining or protecting walls comprising retention means in the backfill the retention means being reinforced earth elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D2300/00—Materials
- E02D2300/0084—Geogrids
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D2600/00—Miscellaneous
- E02D2600/10—Miscellaneous comprising sensor means
Landscapes
- Engineering & Computer Science (AREA)
- Structural Engineering (AREA)
- General Engineering & Computer Science (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Paleontology (AREA)
- Civil Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Computer Graphics (AREA)
- Environmental & Geological Engineering (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)
Abstract
本发明提供了一种加筋土挡墙潜在破裂区域的智能监测方法，步骤包括：在待监测区域的加筋挡土墙内分层铺设信息土工格栅；建立待监测区域的加筋挡土墙的数字三维模型；实时获取智能加筋带的应变位置和对应的应变力学数据，并将该信息导入数字三维模型；提取符合应变阈值对应的应变位置信息，依次将所有符合应变阈值的应变位置连成曲线，该曲线所在区域即为潜在破裂区域。本发明为加筋土挡墙潜在破裂区域监测提供了一种全新的智能方法，能够快速、准确地监测潜在破裂区域，在坡体破坏前实现早期判识及预警，避免发生更大的损失，不仅大幅降低了潜在破裂区域的判别难度，而且提高了潜在破裂区域的判别效率。
The invention provides an intelligent monitoring method for a potential rupture area of a reinforced earth retaining wall. The steps include: laying information geogrids in layers in the reinforced earth retaining wall in the area to be monitored; establishing a reinforced earth retaining wall in the area to be monitored The digital three-dimensional model of the wall; obtain the strain position of the intelligent reinforcement belt and the corresponding strain mechanics data in real time, and import the information into the digital three-dimensional model; extract the strain position information corresponding to the strain threshold, and sequentially convert all the strain positions that meet the strain threshold. Connected into a curve, the area where the curve is located is the potential rupture area. The invention provides a brand-new intelligent method for monitoring the potential rupture area of the reinforced earth retaining wall, which can quickly and accurately monitor the potential rupture area, realize early identification and early warning before the slope is damaged, and avoid greater losses. Not only the difficulty of discriminating potential rupture areas is greatly reduced, but also the discriminating efficiency of potential rupture areas is improved.
Description
Technical Field
The invention belongs to the technical field of retaining wall monitoring, and particularly relates to an intelligent monitoring method for a potential rupture area of a reinforced retaining wall.
Background
As an anisotropic complex, the reinforced retaining wall has complex internal stress distribution and failure mode, and the stress law is difficult to accurately master. At present, no physical model of the reinforced soil constitutive relation can comprehensively describe the engineering property, the soil pressure distribution and the stress condition which meet the actual conditions under various conditions. The shape of a potential fracture area of the reinforced earth retaining wall is an important basis for designing the length of the reinforced strip, and the determination of the shape of the potential fracture area is controversial at present, so that the length of the reinforced strip is more conservative in design and calculation or misjudgment is made by experience, the design parameters are lower, and the overall stability of a reinforced earth slope structure is difficult to ensure.
In order to determine the shape of a real potential rupture area in a reinforced retaining wall, many students try to test the tensile deformation condition of a reinforced belt by embedding a traditional inductive sensor in a soil body, and due to the defects that the inductive sensor has low survival rate, unstable signal transmission, complex self connection, low intelligent monitoring degree and the like in a complex environment in the soil body, the identification of the potential rupture area needs to acquire long-period deformation observation data, obviously, the inductive sensor is difficult to meet the monitoring requirement of the reinforced retaining wall, cannot acquire test data intelligently, and is very difficult to identify the potential rupture area.
Disclosure of Invention
The invention aims to provide an intelligent monitoring method for a potential rupture area of a reinforced retaining wall, which mainly solves the problem that a traditional sensor is difficult to identify the potential rupture area and perfects the regulation of the existing standard reinforced retaining wall on the position of the potential rupture area.
In order to achieve the purpose, the invention adopts the following technical scheme.
An intelligent monitoring method for a potential fracture area of a reinforced retaining wall is characterized by comprising the following steps:
each layer of information geogrid comprises an intelligent reinforced belt and a common reinforced belt, the intelligent reinforced belt comprises detection optical fibers arranged in the common reinforced belt, the detection optical fibers are fixedly arranged in the common reinforced belt and are integrated with the common reinforced belt, and one end or two ends of the intelligent reinforced belt extend out of a structure body where the reinforced belt is located and are connected with external detection equipment;
and 4, extracting strain position information corresponding to the strain threshold, and sequentially connecting all strain positions corresponding to the strain threshold into a curve, wherein the region where the curve is located is a potential rupture region.
In a preferable scheme, when the strain mechanics data of each layer of intelligent reinforced belt is changed linearly, the maximum strain mechanics data is used as a strain threshold value. By adopting the scheme, the potential fracture surface of the reinforced retaining wall can be rapidly and accurately identified, and based on the application of the intelligent monitoring method in determining the potential fracture surface of the reinforced retaining wall, the position of the maximum strain mechanics data is a point on the potential fracture surface.
As a second preferred scheme, in each layer of intelligent reinforced belt, when the strain mechanics data is changed in a curvilinear manner, the strain mechanics data of the third highest ranking is used as a strain threshold, and the strain mechanics data of the third highest ranking is the maximum strain mechanics data, the second large strain mechanics data and the third large strain mechanics data. By adopting the method, the potential fracture area of the reinforced retaining wall can be more accurately identified, and errors can be eliminated as far as possible.
Preferably, the detection optical fiber adopts fiber grating sensors which are arranged at intervals and uniformly.
In order to reduce the monitoring difficulty of the potential fracture surface, in the step 3, the strain position of the intelligent reinforced belt is obtained by the following steps:
step A, encoding each fiber grating sensor in the manufacturing process of the information geogrid, and measuring the horizontal distance from the position of each fiber grating sensor to the outer end of each intelligent reinforced strip and the vertical distance from each layer of intelligent reinforced strip to a reference plane;
b, acquiring the wall thickness of the reinforced retaining wall, and importing the thickness data into a digital three-dimensional model;
step C, calculating the coordinates (X, Y) of each strain position by adopting a formula (I) based on the code of the fiber bragg grating sensor,
(X,Y)＝(X＝S1+H，Y＝S2)……(Ⅰ)
in the formula, S1 represents the horizontal distance from the position of the fiber grating sensor with strain to the outer end of the intelligent reinforced strip, S2 represents the vertical distance from the layer position of the fiber grating sensor with strain to the reference plane, and H represents the wall thickness of the reinforced retaining wall corresponding to the layer position of the fiber grating sensor with strain.
Has the advantages that: the invention provides a brand-new intelligent method for monitoring the potential rupture area of the reinforced retaining wall, which can quickly and accurately monitor the potential rupture area, realize early judgment and early warning before the slope is damaged, avoid larger loss, greatly reduce the judgment difficulty of the potential rupture area and improve the judgment efficiency of the potential rupture area; the scheme of the invention has the advantages of high sensitivity, stable signal transmission, adaptability to complex environments in the soil body, strong durability and the like, and can monitor the deformation condition in the soil body in real time for a long time.
Drawings
FIG. 1 is a schematic diagram of an intelligent reinforcing strip of an information geogrid in an embodiment;
FIG. 2 is a schematic view of an embodiment of an information geogrid;
FIG. 3 is a schematic view of the information geogrid in an embodiment in use;
FIG. 4 is a time-dependent distribution curve of the strain of the ribbed belt at different positions obtained by the test in the example;
FIG. 5 is a line connecting peak points of strain of the reinforcing strips obtained by the test in the examples;
in the figure: 1-fiber grating sensor, 2-fiber grating sensor and transmission line, 3-the steel wire in the intelligence adds the muscle area, 5-ordinary muscle area that adds, 6-the intelligence adds the muscle area, 7-optic fibre regulation appearance (check out test set), 8-the region of rupture (fracture face).
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
Examples
The optical fiber measurement technology is developed rapidly and maturely, has the advantages of small volume, convenience and rapidness in installation, good durability, stability in signal transmission, high sensitivity, capability of real-time monitoring and the like, and is widely applied to many fields. The fiber grating sensor not only has the characteristics of a fiber sensor, but also can realize the real-time monitoring of internal multipoint strain, and is a testing technology with the most development potential and application value in the fiber sensing technology. The principle of monitoring by the fiber grating sensor is that the optical parameters of the optical fiber can be changed when the measured structure is deformed, and the deformation parameters of the measured structure can be obtained by the optical parameters through a matched optical fiber demodulator, so that the deformation indexes of the measured structure can be demodulated through the change of the optical parameters, and the deformation state of the measured structure can be reflected. The common reinforcement belt and the fiber grating sensor are coupled into an intelligent reinforcement belt (as shown in figures 1 and 2) through an industrial professional processing technology, the strain of the fiber grating sensor is the deformation of the reinforcement belt, the intelligent reinforcement belt is simultaneously used as a supporting structure of the reinforced retaining wall, the particles of the soil body at the rear part of the intelligent reinforcement belt are firmly occluded with the reinforcement belt, the deformation of the reinforcement belt is basically consistent with that of the soil body, and the deformation of the reinforcement belt reflects the deformation of the soil body behind the wall. Therefore, when the inside of the reinforced soil body deforms or has a deformation trend, the optical fiber optical parameters in the intelligent reinforced belt also change along with the deformation, the optical fiber parameters are converted into physical strain, and the deformation state of the reinforced soil body is judged according to the strain. Soil bodies on two sides of the potential rupture area have the tendency of generating relative sliding, the reinforced belts stop relative sliding, and the tension of the reinforced belts at the rupture area is obviously larger than that of the reinforced belts at other places.
An intelligent monitoring method for a potential fracture area of a reinforced retaining wall comprises the following steps:
each layer of information geogrid comprises an intelligent reinforced belt and a common reinforced belt, the intelligent reinforced belt comprises detection optical fibers arranged in the common reinforced belt, the detection optical fibers adopt a plurality of fiber grating sensors which are uniformly arranged at intervals, each fiber grating sensor is used as a fiber grating sensor test point, the detection optical fibers are fixedly arranged in the common reinforced belt and are integrated with the common reinforced belt, and one end or two ends of the intelligent reinforced belt extend out of a structure body where the reinforced belt is located and are connected with external detection equipment;
wherein, the position step of meeting an emergency of obtaining intelligence reinforced area is as follows:
step A, encoding each fiber grating sensor in the manufacturing process of the information geogrid, and measuring the horizontal distance from the position of each fiber grating sensor to the outer end of each intelligent reinforced strip and the vertical distance from each layer of intelligent reinforced strip to a reference plane;
b, acquiring the wall thickness of the reinforced retaining wall, and importing the thickness data into a digital three-dimensional model;
step C, calculating the coordinates (X, Y) of each strain position by adopting a formula (I) based on the code of the fiber bragg grating sensor,
(X,Y)＝(X＝S1+H，Y＝S2)……(Ⅰ)
in the formula, S1 represents the horizontal distance from the position of the fiber grating sensor with strain to the outer end of the intelligent reinforced strip, S2 represents the vertical distance from the layer position of the fiber grating sensor with strain to a reference plane, and H represents the wall thickness of the reinforced retaining wall corresponding to the layer position of the fiber grating sensor with strain;
step 4, extracting strain position information corresponding to the strain threshold, and sequentially connecting all strain positions corresponding to the strain threshold into a curve, wherein the region where the curve is located is a potential rupture region;
in each layer of intelligent reinforced belt, when the strain mechanics data change linearly, the maximum strain mechanics data are used as a strain threshold; or: in each layer of intelligent reinforced belt, when the strain mechanics data change in a curvilinear manner, the strain mechanics data of the first three in the ranking are used as a strain threshold.
The protocol of the present invention is described below in a specific test. The field test site is located in a scientific incubation building park area of a salix caprea along a river development area in Banan area of Chongqing city, is used for pharmaceutical environment slope engineering of Shentianke province in Chongqing city, has a wall height of 6m, adopts a bag-returning type geogrid reinforced earth retaining wall within 50m of the side close to a road, adopts plain filling soil for backfilling, adopts an integral steel-plastic geogrid (B type) as a tie bar, has a vertical interval of 0.5m, and is formed by piling up a bag filled with 1.5% of grass seeds and planting soil.
The intelligent reinforced band material used in the test is provided by Chongqing Yonggu building science and technology development limited, the grating optical fiber and the matched optical fiber demodulator are provided by Suzhou Nanzhi sensing science and technology limited, and the fusion processing of the reinforced band and the grating optical fiber is completed by Chongqing Yonggu building science and technology development limited. Considering that the processing technology of implanting the fiber grating sensor into the reinforced band belongs to the latest processing technology, optical fibers are used as fine materials and are easily damaged or lead to the disconnection of the optical fibers in the processing process, in order to ensure the normal use of the intelligent reinforced band, the survival conditions of the intelligent reinforced band are checked by respectively utilizing an optical fiber fault red light detection pen and an optical fiber demodulator, and the result shows that the fiber grating sensor in the intelligent reinforced band is intact and can meet the monitoring requirement.
Selecting a typical section for field test according to field test conditions, wherein a section test layout is shown in figure 3, 6 layers of intelligent geogrids are arranged on the section, and the interlayer spacing is 1 m; each layer of grating optical fiber sensor has 12 test points and the horizontal distance is 0.5 m. After the reinforced earth wall is built in layers, the fiber grating sensor testing interface led out from each layer of intelligent geotechnical belt is connected to a fiber demodulator, the tested strain data is used as an initial value, and then the fiber grating sensor testing interface is tested once a month, and the horizontal strain is observed regularly.
And (3) analyzing a test result: the change of the strain of each grating point is obtained through related physical processing according to the change condition of optical data tested by the fiber grating sensor, the test time is respectively data of 7 times in total after completion of an item, 1 month after completion, 2 months after completion, 3 months after completion, 5 months after completion, 7 months after completion and 9 months after completion, the change of the strain of each layer of reinforced grating points along with time is shown in figure 4, and the strain ranges are all between 50 and 500 micro-strain.
It can be seen from fig. 4 that each layer of reinforced belt has a distinct peak point, and the peak points of the same layer of reinforced belt at different times are all the same from the wall surface, indicating that the reinforced belt bears the maximum tensile force, i.e. the position of the potential fracture surface, and the distances from the strain peak values of the first layer to the sixth layer of reinforced belt to the wall surface are 100cm, 150cm, 200cm, 250cm and 250cm, respectively. The fiber grating sensor measured that the strain distribution of the ribbed belt was not continuous, with a grating point spacing of 50cm, although there may be an error in the location of maximum strain of the ribbed belt, it is acceptable in the engineering field. Therefore, the actually measured maximum strain position of the reinforced belt is considered to be the true maximum strain position of the reinforced soil body.
Accurate determination of potential fracture surfaces is a key issue in the design of reinforced earth structures. The potential fracture surface is used as a boundary between an active area and a stable area in the soil body, the reinforced belt in the stable area is used as a tensile material to resist the soil body in the active area from being unstable, therefore, the strain of the reinforced belt at the potential fracture surface reaches the maximum, the maximum strain position of the reinforced belt is found in layers, and the connection line of the maximum strain position of each layer is the potential fracture surface. From the foregoing strain data results, the maximum strain location points of each layer of the reinforced belt were connected in layers, forming a true potential fracture surface, as shown in fig. 5. Through comparative analysis of the actual measured potential fracture surface of the reinforced retaining wall and the extension trend of the standard 0.3H fracture surface, the situation that the potential fracture surface is basically consistent with the 0.3H fracture surface trend can be obtained from the graph of fig. 4, but the potential fracture surfaces all deviate towards the inside of the soil body behind the wall, and the situation is equivalent to the '0.4H' fracture surface. Considering that the potential rupture range of the wall body is expanded, the volume of a potential destruction body is larger, the generated destruction thrust is increased, and the tensile force borne by the reinforced belt is larger than the standard. Therefore, the safety requirements of the retaining wall cannot be met when the fracture surface determined by the existing 0.3H standard method is adopted for the long design of the reinforced strip, and the overall stability of the wall body is difficult to guarantee.
Therefore, the shape of the potential fracture surface in the reinforced earth wall body is approximately of a broken line type, the turning point is at 0.4H (H is the wall height), the part of the fracture surface from the turning point to the wall bottom is approximately of a Rankine fracture surface, the inclination angle of the fracture surface is more gradual, the trend of the fracture surface from the turning point to the wall top section is similar to that of the fracture surface of 0.3H in domestic specification, but the fracture surface is set back to be about 0.1H; compared with the existing specification/standard, the potential rupture surface of the reinforced soil deflects towards the rear of the soil body, and the volume of the damaged body is obviously increased.
Claims (6)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111045714.0A CN113700056A (en) | 2021-09-07 | 2021-09-07 | Intelligent monitoring method for potential fracture area of reinforced retaining wall |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111045714.0A CN113700056A (en) | 2021-09-07 | 2021-09-07 | Intelligent monitoring method for potential fracture area of reinforced retaining wall |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113700056A true CN113700056A (en) | 2021-11-26 |
Family
ID=78659049
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111045714.0A Pending CN113700056A (en) | 2021-09-07 | 2021-09-07 | Intelligent monitoring method for potential fracture area of reinforced retaining wall |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113700056A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115291240A (en) * | 2022-10-08 | 2022-11-04 | 江苏徐工工程机械研究院有限公司 | Detection method and system for perceptual recognition of retaining wall behind unloading point in mining scene |
-
2021
- 2021-09-07 CN CN202111045714.0A patent/CN113700056A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115291240A (en) * | 2022-10-08 | 2022-11-04 | 江苏徐工工程机械研究院有限公司 | Detection method and system for perceptual recognition of retaining wall behind unloading point in mining scene |
| CN115291240B (en) * | 2022-10-08 | 2023-01-17 | 江苏徐工工程机械研究院有限公司 | Detection method and system for perception and identification of retaining wall behind unloading point in mining area scene |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101793502B (en) | Method for Determining Damaged Position of Built-in Geomembrane by Using Optical Fiber Strain | |
| CN111259483B (en) | A Calculation Method of Slope Stability Coefficient in Cold Region | |
| CN105606063B (en) | Soil layer slope stability determination method based on orthogonal strain ratio | |
| CN106917420B (en) | A pile foundation scour monitoring device | |
| CN103198619A (en) | Dynamic monitoring and early warning method for rock mass landslide | |
| CN102445160A (en) | Long-gauge fiber grating scour sensor, manufacturing method thereof, and installation and laying method thereof, and scour monitoring system formed by long-gauge fiber grating scour sensors | |
| CN206396814U (en) | A kind of novel bridge pile foundation is under water by flushing monitoring device | |
| CN105841858A (en) | Fiber grating type pressure transducer for rock-soil complete stress measurement | |
| AU2020100871A4 (en) | A Fiber Bragg Grating Test Device For Internal Three-Dimensional Stress Of Rock | |
| CN104006744A (en) | Side slop optical fiber Bragg optical grating multi-point displacement sensor and using method thereof | |
| CN107228651B (en) | An Observation Method Based on Embedded Optical Fiber Subgrade Subsidence Observation Device | |
| CN110411353B (en) | Large-range fiber bragg grating displacement monitoring device and system | |
| CN216893150U (en) | An intelligent semi-grouting sleeve that can monitor the changing state of grouting material and steel bars at the same time | |
| CN116629602A (en) | Seepage safety dynamic monitoring and disaster early warning system of earth-rock dam based on digital twin technology and its construction method | |
| CN103437383B (en) | Pile tube is driven into the FBG-BOTDA combination sensor detection method of soil layer | |
| CN201028977Y (en) | Multi-parameter detector based on composite optical fiber device | |
| WO2019148752A1 (en) | Foundation settlement testing system and method adopting resistance-sensitive geogrids | |
| Zeng et al. | Deformation calculation method based on FBG technology and conjugate beam theory and its application in landslide monitoring | |
| CN113700056A (en) | Intelligent monitoring method for potential fracture area of reinforced retaining wall | |
| CN110685289A (en) | Geogrid capable of monitoring slope deformation | |
| CN116386279B (en) | A slope slip monitoring system and safety early warning method based on FBG-FRP intelligent anchor | |
| CN106092160A (en) | A kind of manufacture method of the multi-functional FRP intelligent anchor rod of multiple spot temperature compensation | |
| CN103790169A (en) | Warning grading method for rock-socketed double-row anti-slide micro piles | |
| CN108955769B (en) | A fiber grating earth pressure-osmotic pressure-temperature multi-parameter sensor | |
| CN204730825U (en) | A kind of sedimentation distribution monitoring system based on continuous fiber section bar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20211126 |