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Search Results (643)

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31 pages, 37082 KiB  
Article
Prediction of the Unconfined Compressive Strength of a One-Part Geopolymer-Stabilized Soil Using Deep Learning Methods with Combined Real and Synthetic Data
by Qinyi Chen, Guo Hu and Jun Wu
Buildings 2024, 14(9), 2894; https://doi.org/10.3390/buildings14092894 - 13 Sep 2024
Viewed by 217
Abstract
This study focused on exploring the utilization of a one-part geopolymer (OPG) as a sustainable alternative binder to ordinary Portland cement (OPC) in soil stabilization, offering significant environmental advantages. The unconfined compressive strength (UCS) was the key index for evaluating the efficacy of [...] Read more.
This study focused on exploring the utilization of a one-part geopolymer (OPG) as a sustainable alternative binder to ordinary Portland cement (OPC) in soil stabilization, offering significant environmental advantages. The unconfined compressive strength (UCS) was the key index for evaluating the efficacy of OPG in soil stabilization, traditionally demanding substantial resources in terms of cost and time. In this research, four distinct deep learning (DL) models (Artificial Neural Network [ANN], Backpropagation Neural Network [BPNN], Convolutional Neural Network [CNN], and Long Short-Term Memory [LSTM]) were employed to predict the UCS of OPG-stabilized soft clay, providing a more efficient and precise methodology. Among these models, CNN exhibited the highest performance (MAE = 0.022, R2 = 0.9938), followed by LSTM (MAE = 0.0274, R2 = 0.9924) and BPNN (MAE = 0.0272, R2 = 0.9921). The Wasserstein Generative Adversarial Network (WGAN) was further utilized to generate additional synthetic samples for expanding the training dataset. The incorporation of the synthetic samples generated by WGAN models into the training set for the DL models led to improved performance. When the number of synthetic samples achieved 200, the WGAN-CNN model provided the most accurate results, with an R2 value of 0.9978 and MAE value of 0.9978. Furthermore, to assess the reliability of the DL models and gain insights into the influence of input variables on the predicted outcomes, interpretable Machine Learning techniques, including a sensitivity analysis, Shapley Additive Explanation (SHAP), and 1D Partial Dependence Plot (PDP) were employed for analyzing and interpreting the CNN and WGAN-CNN models. This research illuminates new aspects of the application of DL models with training on real and synthetic data in evaluating the strength properties of the OPG-stabilized soil, contributing to saving time and cost. Full article
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Figure 1

Figure 1
<p>Framework of the ANN model for the prediction of the UCS in this study.</p>
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<p>Calculations of the Convolutional and Pooling layers of the CNN.</p>
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<p>Structure of the LSTM network.</p>
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<p>Structure of the WGAN.</p>
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<p>The diagram of <span class="html-italic">K</span>-Fold cross-validation.</p>
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<p>Workflow of the study.</p>
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<p>Description of the data distribution. (<b>a</b>) Histogram of the UCS. (<b>b</b>) Box diagram of the inputs.</p>
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<p>Correlation matrix.</p>
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<p>The performance index of the ANN model.</p>
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<p>The performance index of the BPNN model.</p>
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<p>The performance index of the CNN model.</p>
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<p>The performance index of the LSTM model.</p>
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<p>Performance comparison of the DL models on the refined set.</p>
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<p>KDE plot of the prediction errors of DL models.</p>
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<p>Violin plots of different samples. (<b>a</b>) The original dataset. (<b>b</b>) The synthetic samples generated by GAN. (<b>c</b>) The synthetic samples generated by WGAN (adopting Dense layers in the generator). (<b>d</b>) The synthetic samples generated by WGAN (adopting Convolutional layers in the generator).</p>
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<p>The comparison of the performance of the WGAN-CNN models.</p>
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<p>The KDE plot of the prediction errors of the WGAN-CNN models.</p>
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<p>The performance of WGAN-CNN (with 150 and 200 synthetic samples).</p>
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<p>First order sensitive analysis of DL models.</p>
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<p>Second-order sensitivity analyses of DL models. (<b>a</b>) ANN. (<b>b</b>) BPNN. (<b>c</b>) CNN. (<b>d</b>) LSTM. (<b>e</b>) WGAN-CNN.</p>
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<p>SHAP global explanations of the CNN and WGAN-CNN.</p>
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<p>SHAP decision plots for the CNN and WGAN-CNN.</p>
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<p>SHAP interaction analysis of the curing time. (<b>a</b>) Curing time versus FA/GGBFS. (<b>b</b>) Curing time versus NaOH/precursor. (<b>c</b>) Curing time versus water/binder. (<b>d</b>) Curing time versus molarity.</p>
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<p>SHAP interaction analysis of FA/GGBFS. (<b>a</b>) FA/GGBFS versus NaOH/precursor. (<b>b</b>) FA/GGBFS versus water/binder. (<b>c</b>) FA/GGBFS versus the curing time. (<b>d</b>) FA/GGBFS versus molarity.</p>
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<p>SHAP interaction analysis of other factors. (<b>a</b>) NaOH/precursor versus water/binder. (<b>b</b>) NaOH/precursor versus molarity. (<b>c</b>) NaOH/precursor versus water/binder.</p>
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<p>PDP analysis of CNN and WGAN-CNN models. (<b>a</b>) Partial dependence on FA/GGBFS. (<b>b</b>) Partial dependence on NaOH/precursor. (<b>c</b>) Partial dependence on water/binder. (<b>d</b>) Partial dependence on curing time. (<b>e</b>) Partial dependence on molarity.</p>
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<p>PDP analysis of CNN and WGAN-CNN models. (<b>a</b>) Partial dependence on FA/GGBFS. (<b>b</b>) Partial dependence on NaOH/precursor. (<b>c</b>) Partial dependence on water/binder. (<b>d</b>) Partial dependence on curing time. (<b>e</b>) Partial dependence on molarity.</p>
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18 pages, 6877 KiB  
Article
Performance of Zeolite-Based Soil–Geopolymer Mixtures for Geostructures under Eccentric Loading
by Alaa H. J. Al-Rkaby
Infrastructures 2024, 9(9), 160; https://doi.org/10.3390/infrastructures9090160 - 12 Sep 2024
Viewed by 225
Abstract
Although soil stabilization with cement and lime is widely used to overcome the low shear strength of soft clay, which can cause severe damage to the infrastructures founded on such soils, such binders have severe impacts on the environment in terms of increasing [...] Read more.
Although soil stabilization with cement and lime is widely used to overcome the low shear strength of soft clay, which can cause severe damage to the infrastructures founded on such soils, such binders have severe impacts on the environment in terms of increasing emissions of carbon dioxide and the consumption of energy. Therefore, it is necessary to investigate soil improvement using sustainable materials such as byproducts or natural resources as alternatives to conventional binders—cement and lime. In this study, the combination of cement kiln dust as a byproduct and zeolite was used to produce an alkali-activated matrix. The results showed that the strength increased from 124 kPa for the untreated clay to 572 kPa for clay treated with 30% activated stabilizer agent (activated cement kiln dust). Moreover, incorporating zeolite as a partial replacement of the activated cement kiln dust increased the strength drastically to 960 and 2530 kPa for zeolite ratios of 0.1 and 0.6, respectively, which then decreased sharply to 1167 and 800 kPa with further increasing zeolite/pr to 0.8 and 1.0, respectively. The soil that was improved with the activated stabilizer agents was tested under footings subjected to eccentric loading. The results of large-scale loading tests showed clear improvements in terms of increasing the bearing capacity and decreasing the tilt of the footings. Also, a reduction occurred due to the eccentricity decreasing as a result of increasing the thickness of the treated soil layer beneath the footing. Full article
(This article belongs to the Section Sustainable Infrastructures)
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Figure 1
<p>Particle size distributions of the clay, cement kiln dust, and zeolite used in this study.</p>
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<p>Materials used in this study and the performed tests.</p>
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<p>Materials used in this study and the performed tests.</p>
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<p>Stress–strain relationships of clay improved using different contents of stabilizer agent and zeolite/Pr ratios.</p>
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<p>Stress–strain relationships of clay improved using different contents of stabilizer agent and zeolite/Pr ratios.</p>
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<p>Effect of the stabilizer agent and zeolite on the peak stress of the treated clay.</p>
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<p>Effect of the zeolite/stabilizer agent on the peak stress of the treated clay.</p>
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<p>Comparison of the UCS obtained in the present study with the results obtained in previous work [<a href="#B17-infrastructures-09-00160" class="html-bibr">17</a>,<a href="#B45-infrastructures-09-00160" class="html-bibr">45</a>,<a href="#B46-infrastructures-09-00160" class="html-bibr">46</a>,<a href="#B47-infrastructures-09-00160" class="html-bibr">47</a>,<a href="#B48-infrastructures-09-00160" class="html-bibr">48</a>,<a href="#B49-infrastructures-09-00160" class="html-bibr">49</a>].</p>
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<p>Effect of eccentricity on the ultimate bearing capacity of treated clay.</p>
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<p>Effect of eccentricity on the reduction in the developed ultimate bearing capacity.</p>
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<p>Effect of eccentricity on the developed footing tilt.</p>
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<p>SEM images of untreated and treated soil.</p>
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16 pages, 3650 KiB  
Article
Experimental Study on Mechanical Properties of Recycled Aggregate Mixed Soil
by Xuliang Wang, Qinxi Dong, Jun Hu, Peng Liu, Zetian Li, Yongzhan Chen and Guoyang Xu
Materials 2024, 17(18), 4448; https://doi.org/10.3390/ma17184448 - 10 Sep 2024
Viewed by 327
Abstract
In the context of efforts aimed at reducing carbon emissions, the utilization of recycled aggregate soil mixes for soil stabilization has garnered considerable interest. This study examines the mechanical properties of mixed soil samples, varying by dosage of a soft soil curing agent [...] Read more.
In the context of efforts aimed at reducing carbon emissions, the utilization of recycled aggregate soil mixes for soil stabilization has garnered considerable interest. This study examines the mechanical properties of mixed soil samples, varying by dosage of a soft soil curing agent C, recycled aggregate R content, and curing duration. Mechanical evaluations were conducted using unconfined compressive strength tests (UCS), field emission scanning electron microscopy (FESEM), and laser diffraction particle size meter tests (PSD). The results indicate that the strength of the mixed soil samples first increases and then decreases with higher dosages of recycled aggregate, reaching optimal strength at a 20% dosage. Similarly, an increase in curing agent dosage enhances the strength, peaking at 20%. The maximum strength of the mixed soils is achieved at 28 days under various proportions. The introduction of the curing agent leads to the formation of a flocculent structure, as observed in FESEM, which contributes to the enhanced strength of the soil mixes. Specimens prepared with a combination of 20% R and 20% C, maintained at a constant moisture content of 20%, and cured for 28 days exhibit a balance between economic, environmental, and engineering performance. Full article
(This article belongs to the Special Issue Transforming Industrial Waste into Sustainable Construction Materials)
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Figure 1
<p>Gradation of red clay particles and the red clay used.</p>
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<p>Soft soil stabilizers and recycled aggregate.</p>
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<p>XRD plots of soft soil stabilizers and their compositional percentage.</p>
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<p>Unconfined Compressive Strength Test Equipment and Laser diffraction particle sizer.</p>
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<p>(<b>a</b>) The 7 d peak strain with different curing agent dosage; (<b>b</b>) 14 d peak strain with different curing agent dosage; (<b>c</b>) 28 d peak strain with different curing agent dosage.</p>
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<p>(<b>a</b>) The 7 d Peak strain with different recycled aggregate dosages; (<b>b</b>) 14 d Peak strain with different recycled aggregate dosages; (<b>c</b>) 28 d Peak strain with different recycled aggregate dosages.</p>
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<p>(<b>a</b>) Peak Strain at 0% Recycled Aggregate Admixture; (<b>b</b>) Peak Strain at 20% Recycled Aggregate Admixture; (<b>c</b>) Peak Strain at 40% Recycled Aggregate Admixture; (<b>d</b>) Peak Strain at 60% Recycled Aggregate Admixture.</p>
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<p>Schematic representation of changes in the particle skeleton.</p>
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<p>Particle size distribution curves for different curing agent dosages with 0% recycled aggregate.</p>
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<p>R0C0-SEM micrographs (<b>a</b>,<b>b</b>).</p>
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<p>R0C10-SEM micrographs (<b>a</b>,<b>b</b>).</p>
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<p>Micrograph of R0C20-SEM.</p>
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27 pages, 14853 KiB  
Article
The Use of a Laser Diffractometer to Analyze the Particle Size Distribution of Selected Organic Soils
by Grzegorz Straż and Małgorzata Szostek
Appl. Sci. 2024, 14(18), 8104; https://doi.org/10.3390/app14188104 - 10 Sep 2024
Viewed by 256
Abstract
This study was conducted to verify the usefulness of the laser diffractometer method for determining the particle size distribution of selected organic soils from the Podkarpacie region in Poland. The soil selected for this research represented three main classification groups, namely, low-organic, medium-organic [...] Read more.
This study was conducted to verify the usefulness of the laser diffractometer method for determining the particle size distribution of selected organic soils from the Podkarpacie region in Poland. The soil selected for this research represented three main classification groups, namely, low-organic, medium-organic and high-organic soil, in accordance with the standard criterion. Particle size distribution was determined using two types of laser diffractometers: the Helos laser diffractometer manufactured by Sympatec GmbH (Clausthal-Zellerfeld, Germany) and the laser particle size analyzer Analysette 22 MicroTech plus manufactured by Fritsch GmbH (Idar-Oberstein, Germany). The standard mechanical and sedimentation methods, which are perfect for testing mineral soils, are not applicable to organic soils; therefore, a serious problem was found and examined. A reference method that could verify the test results obtained using the laser diffractometer methods was required. After analyzing the literature, the hydrometric (sedimentation) method was adopted as the reference method. Currently, there are no reliable and fully verified methods for testing soils with such a complex skeleton structure, and the resources, standards and guidelines concerning the issues discussed are extremely limited; therefore, new research methods are being sought to fill this gap, and this work is a step in this direction. The results of the conducted studies and analyses have shown that laser diffractometry methods can be useful for determining the particle size distribution of organic soils, but to a limited extent, depending mainly on the quantity of organic substances. The highest agreement was obtained by comparing the results of the sedimentation method with those obtained using the diffractometer analyzer Analysette 22 in the group of highly organic soils. Full article
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Figure 1
<p>Typical test set up for hydrometer method.</p>
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<p>The Analysette 22 MicroTec plus laser diffractometer (right to left): wet dispersion unit, measuring unit and dry dispersion unit.</p>
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<p>The optical system used in the Analysette 22 MicroTec plus laser diffractometer.</p>
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<p>The Helos laser diffractometer from Sympatec GmbH.</p>
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<p>The optical system used in the Helos laser diffractometer.</p>
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<p>The content of soil fractions determined using the hydrometer method.</p>
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<p>The content of soil fractions determined using the Analysette 22 laser diffractometer.</p>
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<p>The content of soil fractions determined using the Helos laser diffractometer.</p>
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<p>The particle size cumulative distribution density for low-organic soils (sample No. 1, 2).</p>
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<p>The particle size cumulative distribution density for medium-organic soils (sample Nos. 3–7).</p>
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<p>The particle size cumulative distribution density for high-organic soils (sample Nos. 8–12).</p>
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<p>A summary of the results of sample No. 1.</p>
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<p>A summary of the results of sample No. 2.</p>
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<p>A summary of the results of sample No. 3.</p>
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<p>A summary of the results of sample No. 4.</p>
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<p>A summary of the results of sample No. 5.</p>
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<p>A summary of the results of sample No. 6.</p>
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<p>A summary of the results of sample No. 7.</p>
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<p>A summary of the results of sample No. 8.</p>
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<p>A summary of the results of sample No. 9.</p>
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<p>A summary of the results of sample No. 10.</p>
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<p>A summary of the results of sample No. 11.</p>
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<p>A summary of the results of sample No. 12.</p>
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<p>The clay fraction in low-organic soils.</p>
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<p>The silt fraction in low-organic soils.</p>
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<p>The sand fraction in low-organic soils.</p>
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<p>The clay fraction in medium-organic soils.</p>
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<p>The silt fraction in medium-organic soils.</p>
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<p>The sand fraction in medium-organic soils.</p>
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<p>The clay fraction in high-organic soils.</p>
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<p>The silt fraction in high-organic soils.</p>
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<p>The sand fraction in high-organic soils.</p>
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16 pages, 5834 KiB  
Article
One-Dimensional Creep Consolidation Model for Peat Soil
by Bo Peng, Ruiling Feng, Lijian Wu, Pengcheng Wang and Xuming Shi
Appl. Sci. 2024, 14(17), 7990; https://doi.org/10.3390/app14177990 - 6 Sep 2024
Viewed by 257
Abstract
Peat soil exhibits significant creep deformation, and its consolidation law differs from that of soft soil. This study examines the strain characteristics of peat soils during three stages of consolidation using indoor one-dimensional creep consolidation tests. The results showed that the rebound deformation [...] Read more.
Peat soil exhibits significant creep deformation, and its consolidation law differs from that of soft soil. This study examines the strain characteristics of peat soils during three stages of consolidation using indoor one-dimensional creep consolidation tests. The results showed that the rebound deformation after the primary consolidation stage and the secondary consolidation stage is equivalent to the deformation seen during the primary consolidation stage, about 1.003 times. However, once the deformation stabilizes, the rebound deformation decreases to 0.32–0.85 times that of the deformation observed during the primary consolidation stage. The elastic and time-independent plastic strains of the peat soil showed two-stage linear changes with lnσz. When the load was greater than the pre-consolidation pressure, the deformation modulus increases by approximately 2.10 and 1.56 times, respectively. On this basis, this study, for the first time, defines the creep rate according to the strain rate in the tertiary consolidation stage in the strain versus the time curve (εz~t). Based on the timeline, a one-dimensional creep consolidation model is established that can accurately predict the strain during the consolidation of the peat soil foundation. The results reveal distinct strain behaviors during each stage and improve the theoretical basis for the study of creep. Full article
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Figure 1
<p>Rheological model of secondary consolidation [<a href="#B9-applsci-14-07990" class="html-bibr">9</a>].</p>
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<p>Berry and Poskitt’s creep model of fibrous peat soil [<a href="#B8-applsci-14-07990" class="html-bibr">8</a>].</p>
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<p>Schematic of sampling.</p>
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<p>Surrounding conditions of sampling sites. (<b>a</b>) Surroundings of Sampling site ②; (<b>b</b>) surroundings of Sampling site ③.</p>
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<p>Division method of three stages of consolidation.</p>
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<p>Rebound deformation of 100 kPa load test group.</p>
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<p>Ratio of rebound deformation to deformation at the primary consolidation stage.</p>
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<p>Schematic of strain accumulation curve.</p>
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<p>Strain versus stress curve at primary and secondary consolidation stages.</p>
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<p>Elastic–plastic strain curve.</p>
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<p>Schematic diagram of viscous strain curve.</p>
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<p>Schematic of peat soil nonlinear rheological model.</p>
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<p>Schematic of foundation consolidation.</p>
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<p>Calculation results of the semi-analytical method.</p>
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<p>Calculation results of the semi-analytical method.</p>
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16 pages, 7610 KiB  
Article
Experimental Study on the Shear Characteristics of the Interface between Marine Soft Clay and Jacked Pile
by Chaoliang Ye, Fengxu Cao, Hao Sun, Zhenxu Wu, Tao Zhang and Tiecheng Sun
J. Mar. Sci. Eng. 2024, 12(9), 1549; https://doi.org/10.3390/jmse12091549 - 4 Sep 2024
Viewed by 384
Abstract
Marine soft clay is widely distributed in coastal areas. Aiming at the characteristics of low strength and stress level of marine soft clay, the effects of normal stress, water content, and resting time on the pile–soil interface shear characteristics of marine soft clay–jacked [...] Read more.
Marine soft clay is widely distributed in coastal areas. Aiming at the characteristics of low strength and stress level of marine soft clay, the effects of normal stress, water content, and resting time on the pile–soil interface shear characteristics of marine soft clay–jacked piles were investigated using improved direct shear test equipment. On this basis, a practical interface shear strength prediction model considering the above factors is proposed. The test results show that the relationship between shear stress and shear displacement at the pile–soil interface can be divided into three stages—initial, transitional, and stable—and the relationship is in accordance with the hyperbolic model. Under the same water content and resting time, the interface peak shear stress increases linearly with the increase in normal stress. The interface peak shear displacement decreased with the increase in normal stress. Under different water content conditions, the peak shear stress decreases with increasing water content, while the corresponding peak shear displacement increases. The internal friction angle and adhesion at the pile–soil interface decreased rapidly and exponentially with increasing water content of the soil around the pile. The interfacial adhesion varies in the range of 1.07–13.76 kPa and the internal friction angle in the range of 1.8–6.1°. The change in water content when the water content of marine soft clay is less than the liquid limit has a great influence on the interface shear strength. The peak shear stress increases with increasing resting time, while the corresponding peak shear displacement decreases for different resting times. The Internal friction angle and adhesion at the pile–soil interface increases exponentially with the resting time. Interfacial adhesion changes in the range of 1.8–4.9 kP, and the internal friction angle is 2.8–4.7°. The strength of the pile–soil interface grows with the advancement of the resting time, and the bearing performance of the jacked pile is improved, with the most significant effect in 14 days. Based on multiple linear regression analyses, the effects of normal stress and water content on interfacial shear strength are comparable and the effect of normal stress on the shear strength is more significant compared with the resting time. The test results provide valuable reference for the design and construction of jacked piles in marine soft ground. Full article
(This article belongs to the Section Coastal Engineering)
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<p>Schematic diagram of shear test.</p>
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<p>Relationship between interfacial shear stress and shear displacement (<span class="html-italic">τ</span>–<span class="html-italic">s</span>) at different water content: (<b>a</b>) <span class="html-italic">w</span> = 42.7%; (<b>b</b>) <span class="html-italic">w</span> = 52.7%; (<b>c</b>) <span class="html-italic">w</span> = 62.7% (<span class="html-italic">T</span> = 0 days); (<b>d</b>) <span class="html-italic">w</span> = 67.7%; (<b>e</b>) <span class="html-italic">w</span> = 72.7%.</p>
Full article ">Figure 2 Cont.
<p>Relationship between interfacial shear stress and shear displacement (<span class="html-italic">τ</span>–<span class="html-italic">s</span>) at different water content: (<b>a</b>) <span class="html-italic">w</span> = 42.7%; (<b>b</b>) <span class="html-italic">w</span> = 52.7%; (<b>c</b>) <span class="html-italic">w</span> = 62.7% (<span class="html-italic">T</span> = 0 days); (<b>d</b>) <span class="html-italic">w</span> = 67.7%; (<b>e</b>) <span class="html-italic">w</span> = 72.7%.</p>
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<p>Typical curve fitting relationship between shear stress and shear displacement (<span class="html-italic">τ</span>–<span class="html-italic">s</span>).</p>
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<p>Interface shear stress–shear displacement (<span class="html-italic">τ</span>–<span class="html-italic">s</span>) relationship at different resting time: (<b>a</b>) <span class="html-italic">T</span> = 3 days; (<b>b</b>) <span class="html-italic">T</span> = 7 days; (<b>c</b>) <span class="html-italic">T</span> = 14 days; (<b>d</b>) <span class="html-italic">T</span> = 28 days.</p>
Full article ">Figure 4 Cont.
<p>Interface shear stress–shear displacement (<span class="html-italic">τ</span>–<span class="html-italic">s</span>) relationship at different resting time: (<b>a</b>) <span class="html-italic">T</span> = 3 days; (<b>b</b>) <span class="html-italic">T</span> = 7 days; (<b>c</b>) <span class="html-italic">T</span> = 14 days; (<b>d</b>) <span class="html-italic">T</span> = 28 days.</p>
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<p>Curve of <span class="html-italic">τ<sub>f</sub></span>–<span class="html-italic">σ</span> relationship (variation in water content <span class="html-italic">w</span>).</p>
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<p>Curve of <span class="html-italic">τ<sub>f</sub></span>–<span class="html-italic">σ</span> relationship (variation in resting time <span class="html-italic">T</span>).</p>
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<p>Curve of <span class="html-italic">s<sub>f</sub></span>–<span class="html-italic">σ</span> relationship (variation in water content <span class="html-italic">w</span>).</p>
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<p>Curve of <span class="html-italic">s<sub>f</sub></span>–<span class="html-italic">σ</span> relationship (variation in resting time <span class="html-italic">T</span>).</p>
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<p>Curve of <span class="html-italic">s<sub>f</sub></span>–<span class="html-italic">τ<sub>f</sub></span> relationship (variation in water content <span class="html-italic">w</span>).</p>
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<p>Relationship between angle of internal friction angle <span class="html-italic">φ</span>, adhesion <span class="html-italic">c</span>, and water content <span class="html-italic">w</span>.</p>
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<p>Curve of <span class="html-italic">s<sub>f</sub></span>–<span class="html-italic">τ<sub>f</sub></span> relationship (variation in resting time <span class="html-italic">T</span>).</p>
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<p>Curve of the <span class="html-italic">τ<sub>f</sub></span>–<span class="html-italic">T</span> relationship (variation in normal stress <span class="html-italic">σ</span>).</p>
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<p>Curve of <span class="html-italic">s<sub>f</sub></span>–<span class="html-italic">T</span> relationship (variation in normal stress <span class="html-italic">σ</span>).</p>
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<p>Relationship between internal friction angle <span class="html-italic">φ</span>, adhesion <span class="html-italic">c</span>, and resting time <span class="html-italic">T</span>.</p>
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22 pages, 1748 KiB  
Article
Influence of Bacterial Fertilizers on the Structure of the Rhizospheric Fungal Community of Cereals South of Western Siberia
by Natalia Nikolaevna Shuliko, Olga Valentinovna Selitskaya, Elena Vasilyevna Tukmacheva, Alina Andreevna Kiselyova, Irina Anatolyevna Korchagina, Ekaterina Vladimirovna Kubasova and Artem Yuryevich Timokhin
Agronomy 2024, 14(9), 1989; https://doi.org/10.3390/agronomy14091989 - 2 Sep 2024
Viewed by 364
Abstract
The general lack of knowledge on the conditions of Western Siberia (Omsk region) and the taxonomic diversity of zonal soils determines the relevance of these studies. The research was carried out in order to study the effect of complex biologics on the taxonomic [...] Read more.
The general lack of knowledge on the conditions of Western Siberia (Omsk region) and the taxonomic diversity of zonal soils determines the relevance of these studies. The research was carried out in order to study the effect of complex biologics on the taxonomic diversity of the fungal component of the microbiome of the rhizosphere of cereals and the phytosanitary condition of crops in the southern forest-steppe (meadow-chernozem soil) and subtaiga (gray forest soil) zones of the Omsk Irtysh region (Western Siberia). This work was carried out in 2022–2023, using laboratory studies in combination with field experiments and metagenomic and statistical analyses. The objects of research were varieties of cereals and grain forage crops of Omsk selection: soil microorganisms. The scheme of the experiment involved the study of the following options: varieties of cereals (factor A): spring soft wheat—Omsk 42, Omsk 44, Tarskaya 12; durum wheat—Omsk coral; barley—Omsk 101; oats—Siberian hercules; bacterial preparation for seed inoculation (factor B) without the drug—Mizorin and Flavobacterin. The sampling of the plant rhizosphere for metagenomic analysis was carried out during the earing phase (July). For the first time, the taxonomic composition of the fungal community was determined based on the analysis of amplicon libraries of fragments of ribosomal operons of ITS2 fungi during colonization of crop roots by nitrogen-fixing bacteria in various soil and climatic zones of the Omsk region. The fungal component of the microbiome was analyzed in two zones of the Omsk region (southern forest-steppe and subtaiga). The five dominant phyla of soil fungi were located in the following decreasing series: Ascomycota (about 70%) > Mortierellomycota (about 7%) > Basidiomycota (about 5%) > Mucoromycota (3%) > Chytridiomycota (1%). The five main genera of fungi inhabiting the rhizosphere of cereals are located in a decreasing row: Giberella (6.9%) > Mortierella (6.6%) > Chaetomium (4.8%) > Cladosporium (3.8%) > Rhizopus (3.3%). The predominantly positive effect of biologics of associative nitrogen fixation on the fungal community of the soil (rhizosphere) of experimental sites located in different soil and climatic zones has been established. During seed bacterization, the growth of saprotrophic fungal genera was noted in relation to the control variants Pseudogymnoascus, Chloridium, Clonostachys, Trihoderma, etc., and the fungicidal properties of bacterial strains introduced into the soil were actively manifested relative to phytopathogenic fungi of the genera Alternaria, Blumeria, Fusarium, etc. According to the results of determining the number of infectious structures of Rhizoctonia solani, it was found that the population of the soil with viable cells of this pathogen was 1–3 pcs/g (below the threshold of harmfulness, PV 20 pcs/g of soil), which indicates a favorable phytosanitary situation with respect to the pathogen. The fungicidal effect of the applied bacterial fertilizers on Rhizoctonia solani could not be detected. The number of Bipolaris sorokiniana varied depending on the drug used. In the conditions of the southern forest-steppe zone of the Omsk region (meadow-chernozem soil), the greatest fungicidal effect was noted in Flavobacterin application variants on wheat of the Omsk 42 variety, durum wheat of the Omsk coral variety, and barley; the decrease in conidia relative to the control was 73, 35, and 29%, respectively. In the subtaiga zone of the Omsk Irtysh region (gray forest soil), as in the southern forest-steppe zone, pre-sowing bacterization of seeds with Flavobacterin led to a decrease in Bipolaris sorokiniana in the rhizosphere of wheat of the Omsk 42 variety by 18%, and oats by 27%, to control. The use of the drug Mizorin in some variants of the experiment led to an insignificant decrease in the harmful fungus or had no effect at all. Full article
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
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<p>Composition and representatives of the dominant phyla in the microbiome of the rhizosphere of grain crops (meadow-chernozemic and gray forest soil) in 2023.</p>
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<p>Taxonomic structure (at the phylum level) of eukaryotic communities during inoculation in the conditions of the southern forest-steppe zone in 2023.</p>
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<p>Taxonomic structure (at the phylum level) of eukaryotic communities during inoculation in the conditions of the subtaiga zone in 2023.</p>
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<p>Composition and representatives of the dominant genera in the microbiome of the rhizosphere of grain crops (meadow-chernozemic and gray forest soil) in 2023.</p>
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<p>Taxonomic structure (at the genus level) of eukaryotic communities during inoculation in the conditions of the southern forest-steppe zone in 2023.</p>
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<p>Taxonomic structure (at the genus level) of eukaryotic communities during inoculation in the conditions of the subtaiga zone (%) in 2023.</p>
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<p>Soil population with <span class="html-italic">Rhizoctonia solani</span> micromycete (before sowing) (n = 3).</p>
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19 pages, 5988 KiB  
Article
Geotechnical and Geophysical Assessment of the Soil Layers of the Missan Combined-Cycle Power Plant Project
by Ruba H. Sa’ur, Duaa Al-Jeznawi, Saif Alzabeebee, Luís Filipe Almeida Bernardo and Suraparb Keawsawasvong
CivilEng 2024, 5(3), 717-735; https://doi.org/10.3390/civileng5030038 - 29 Aug 2024
Viewed by 375
Abstract
This study investigated the geotechnical and geophysical properties of the soil layers at the Missan combined-cycle power plant in Iraq. The data from 69 boreholes, including physical and chemical soil properties, were analyzed. The soil is primarily classified as silty clay with moderate [...] Read more.
This study investigated the geotechnical and geophysical properties of the soil layers at the Missan combined-cycle power plant in Iraq. The data from 69 boreholes, including physical and chemical soil properties, were analyzed. The soil is primarily classified as silty clay with moderate to high plasticity, with some sandy layers. Since the Missan governorate is located in a seismically active region represented by the Iraq–Iran border, a study on the seismic properties of the site is also performed. Seismic downhole tests were conducted to determine wave velocities and dynamic moduli. The site was classified as soft clay soil according to FEMA and Eurocode 8 standards. Correlations for the physical and dynamic soil properties were evaluated. The correlations were executed via regression statistical analysis via Microsoft Excel software (2013). The results of the correlation equations and the coefficient of correlation R2 show that the physical correlations were considered medium to good correlations, whereas the dynamic soil correlations were perfectly correlated such that the R2 values were close to 1. This paper provides comprehensive data and soil property correlations, which can be valuable for future construction projects in the Missan area and similar geological formations. Full article
(This article belongs to the Collection Recent Advances and Development in Civil Engineering)
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<p>Iraq map representing the study area.</p>
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<p>Borehole positions within the study area.</p>
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<p>Subsurface soil layers through boreholes #1, #7, #13, and #20.</p>
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<p>Change in the SPT value with soil depth.</p>
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<p>(<b>a</b>) Changes in the liquid limit, (<b>b</b>) plastic limit, and (<b>c</b>) plasticity index with soil depth.</p>
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<p>(<b>a</b>) Changes in the compression index, (<b>b</b>) compression index, and (<b>c</b>) initial void ratio with soil depth.</p>
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<p>Single-borehole seismic method (downhole test).</p>
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<p>Shear and compressional wave velocities (V<sub>s</sub> and V<sub>p</sub>) with soil depth.</p>
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<p>Bulk density vs. shear and compressional wave velocities: (<b>a</b>) V<sub>p</sub> and (<b>b</b>) V<sub>s</sub>.</p>
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<p>The dynamic moduli with soil depth: (<b>a</b>) G<sub>d</sub>, (<b>b</b>) E<sub>d</sub>, and (<b>c</b>) K<sub>d</sub>.</p>
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<p>Correlation of SPT (N value) vs. cohesion C (kPa).</p>
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<p>Correlation of the PI % vs. cohesion C (kPa).</p>
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<p>Correlation of void ratio e<sub>0</sub> vs. compression index C<sub>c</sub>.</p>
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<p>The correlation of the density, γ, with the dynamic modulus of elasticity E<sub>d</sub>.</p>
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<p>The correlation of density, γ, with compression wave velocity, V<sub>p</sub>.</p>
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<p>Correlation of density, γ, vs. shear wave velocity, vs.</p>
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18 pages, 6416 KiB  
Article
Numerical Stability Analysis of Sloped Geosynthetic Encased Stone Column Composite Foundation under Embankment Based on Equivalent Method
by Bo-Cheng Peng, Ling Zhang, Ze-Yu Xu, Peng-Lu Cui and Yang-Yang Liu
Buildings 2024, 14(9), 2681; https://doi.org/10.3390/buildings14092681 - 28 Aug 2024
Viewed by 362
Abstract
As an effective technology for the rapid treatment of soft-soil foundations, geosynthetic encased stone column (GESC) composite foundations are commonly used in various embankment engineerings, including those situated on sloped soft foundations. Nevertheless, there is still a scarcity of stability studies for sloped [...] Read more.
As an effective technology for the rapid treatment of soft-soil foundations, geosynthetic encased stone column (GESC) composite foundations are commonly used in various embankment engineerings, including those situated on sloped soft foundations. Nevertheless, there is still a scarcity of stability studies for sloped GESC composite foundations. Several 3D numerical models for sloped GESC composite foundations were established using an equivalent method. The influences of the area replacement ratio and the tensile strength of geosynthetic encasement on the stability were investigated. The results showed that the stability increased nonlinearly with the area replacement ratio, and there existed an optimal area replacement ratio (e.g., 24.56% in this study) to balance the safety and economic requirements. The stability increased linearly with the tensile strength of geosynthetic encasement at low tensile strength levels (lower than 105 kN/m in this study), and the impact was relatively limited compared with that of the area replacement ratio. In addition, the stability generally decreased nonlinearly as the foundation slope decreased, and high-angle (foundation slope close to 30°) sloped GESC composite foundations are recommended to be treated with multiple reinforcement techniques. The relationship between the minimum area replacement ratio and the foundation slope was further quantified by an exponential function, allowing for the determination of the area replacement ratio of various sloped GESC composite foundations and providing theoretical guidance for engineering practice. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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<p>Illustrations of the FDM model (unit: m): (<b>a</b>) cross-section diagram; (<b>b</b>) layout diagram; (<b>c</b>) 3D representation.</p>
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<p>Illustrations of the FDM model (unit: m): (<b>a</b>) cross-section diagram; (<b>b</b>) layout diagram; (<b>c</b>) 3D representation.</p>
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<p>Relationships between the shear strength of GESCs with geogrid strength.</p>
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<p>Analysis diagram of (<b>a</b>) geosynthetic encasement; (<b>b</b>) GESC under compression.</p>
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<p>Analysis diagram of (<b>a</b>) geosynthetic encasement; (<b>b</b>) GESC under compression.</p>
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<p>Comparison between actual Young’s modulus and theoretical Young’s modulus of GESCs.</p>
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<p>(<b>a</b>) Sketch of interface shear tests for GESC; (<b>b</b>) comparation of test results and numerical simulation.</p>
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<p>Comparation between numerical and test results: (<b>a</b>) lateral deflections; (<b>b</b>) bending moments.</p>
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<p>Relationship between FS and (<b>a</b>) area replacement ratio; (<b>b</b>) foundation slope.</p>
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<p>Variation of instability features for sloped GESC composite foundations: (<b>a</b>) <span class="html-italic">m</span> = 24.56%; (<b>b</b>) <span class="html-italic">m</span> = 32.08%.</p>
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<p>Variation of failure mechanism in various sloped GESC composite foundations: (<b>a</b>) α = 5°; (<b>b</b>) α = 15°; (<b>c</b>) α = 25°.</p>
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<p>Variation of failure mechanism in various sloped GESC composite foundations: (<b>a</b>) α = 5°; (<b>b</b>) α = 15°; (<b>c</b>) α = 25°.</p>
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<p>Relationship between FS and (<b>a</b>) geogrid strength; (<b>b</b>) foundation slope.</p>
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<p>(<b>a</b>) Determination of minimum area replacement ratio; (<b>b</b>) relationship between minimum area replacement ratio and foundation slope.</p>
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16 pages, 15235 KiB  
Article
Sensitivity Analysis of the Factors Affecting the Ground Heave Caused by Jet Grouting
by Dashuo Chen, Yuedong Wu, Jian Liu, Huiguo Wu and Yongyang Zhu
Buildings 2024, 14(9), 2610; https://doi.org/10.3390/buildings14092610 - 23 Aug 2024
Viewed by 322
Abstract
Jet grouted piles are widely used to reduce post-construction settlement of soft clay roadbeds. Nevertheless, it is easy to cause ground heave due to the jet grouted pile. According to the analytical method and numerical method, a sensitivity analysis of the factors affecting [...] Read more.
Jet grouted piles are widely used to reduce post-construction settlement of soft clay roadbeds. Nevertheless, it is easy to cause ground heave due to the jet grouted pile. According to the analytical method and numerical method, a sensitivity analysis of the factors affecting ground heave caused by a single jet grouted pile was performed. It is found that the influence of each parameter on ground heave is in the following order: grout pump pressure > embankment load > soil type (including the cohesion, friction angle, and Young’s modulus) > pile diameter > pile length. Considering the effect of the pump pressure on the ground heave is more significant, based on the analytical method of ground heave caused by a single jet grouted pile combined with the solution of small-deflection bending of a circular thin plate, the calculation method for the suggested limit grout pressure for construction under different embankment heights was established. Suggested values of theoretical grout pump pressure were given to prevent ground heave from harming the pavement of operating highways. This study provides some theoretical basis for the subsequent research on the jet grouted pile. Full article
(This article belongs to the Section Building Structures)
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<p>Pavement settlement on the Lianyungang-Yancheng highway: (<b>a</b>) pavement settlement, (<b>b</b>) destruction of the pavement layer, (<b>c</b>) new layer of asphalt pavement.</p>
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<p>Plan view of the monitored areas A and B (all dimensions in m).</p>
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<p>Field monitoring of ground heave at (<b>a</b>) Area A and (<b>b</b>) Area B.</p>
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<p>Finite element calculation model of jet grouted pile.</p>
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<p>Comparison of analytical values and numerical values with field monitoring of ground heave at (<b>a</b>) Area A and (<b>b</b>) Area B.</p>
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<p>Finite element computational deformation nephogram.</p>
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<p>Relationship between ground vertical displacement and normalized distance in different (<b>a</b>) soils, (<b>b</b>) grout pressures, (<b>c</b>) embankment loads, (<b>d</b>) pile diameters, and (<b>e</b>) pile lengths.</p>
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<p>The coordinate system of a single jet grouted pile and pavement layer.</p>
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<p>Circular thin plate subjected to homogeneous load modeling diagram.</p>
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<p>Relationship between the embankment height and the suggested limit grout pressure for construction.</p>
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14 pages, 1424 KiB  
Article
Impact of Farm Management Practices on Tick Infestation in Punjab’s Livestock: A Comprehensive Epidemiological Study
by Muhammad Husnain Ali Alvi, Abdul Rehman, Tariq Jamil, Muhammad Zahid Iqbal, Aneela Zameer Durrani, Aman Ullah Khan, Muhammad Usman, Carola Sauter-Louis and Franz J. Conraths
Animals 2024, 14(16), 2437; https://doi.org/10.3390/ani14162437 - 22 Aug 2024
Viewed by 847
Abstract
Tick infestation poses an important challenge to livestock in Pakistan. Farm management practices and environmental variables can influence tick infestation prevalence in animals. To this end, a cross-sectional survey of 96 farms in four different geographical districts (24 farms from each district) was [...] Read more.
Tick infestation poses an important challenge to livestock in Pakistan. Farm management practices and environmental variables can influence tick infestation prevalence in animals. To this end, a cross-sectional survey of 96 farms in four different geographical districts (24 farms from each district) was conducted in Punjab, Pakistan, between October 2021 and January 2022. An epidemiological questionnaire was designed focusing on farm management practices and their impact on tick infestations at these farms. Data were collected via in-person interviews. Regional and farm-specific variables’ associations were evaluated using Pearson’s chi-square test and Fischer’s exact test, respectively. A multivariable logistic regression model was used to identify significant risk factors. This study identified that using soft bedding materials, e.g., wheat straw, leaf litter or plain soil posed a significant risk of tick infestation. Additionally, the absence of quarantine measures, open sheds and inadequate drainage were found as contributing factors in univariable analysis. Higher tick prevalence in the hotter seasons highlighted the influence of Punjab’s extreme weather on tick infestation. Despite regular veterinary visits and the use of acaricidal drugs, the prevalence of tick infestation at these farms suggested potential drug resistance in the ticks. The study recommended establishing quarantine practices, improving farms’ drainage systems and bedding and using a combination of chemical and traditional remedies to tackle drug resistance in ticks. Education and awareness programs on tick-borne diseases and control measures are advocated to reduce the tick infestation burden on animals. Further research on longitudinal studies to better understand tick population dynamics and develop effective acaricides is encouraged. This called for collaborative control efforts among farmers, veterinarians and research institutions. Full article
(This article belongs to the Topic Ticks and Tick-Borne Pathogens)
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<p>Tick infestation on the insides of the hindquarters of young buffaloes, (<b>a</b>) heifer and (<b>b</b>) bull, and on the surfaces of the ear of goats, (<b>c</b>) concave and (<b>d</b>) convex.</p>
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<p>Pearson’s chi-square analysis of tick infestation; (<b>a</b>) across various districts; * <span class="html-italic">p</span> &lt; 0.05 considered as significant (<b>b</b>) presented on map.</p>
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19 pages, 4010 KiB  
Article
High-Speed Train-Induced Vibration of Bridge–Soft Soil Systems: Observation and MTF-Based ANSYS Simulation
by Kangming Zhong, Xiaojun Li and Zhenghua Zhou
Buildings 2024, 14(8), 2575; https://doi.org/10.3390/buildings14082575 - 21 Aug 2024
Viewed by 394
Abstract
In this paper, a multi-transmitting formula (MTF) was integrated into ANSYS software through secondary development, enabling dynamic finite element simulation of wave propagation in infinite domains. The numerical reliability and accuracy of the MTF were verified through a plane wave problem involving a [...] Read more.
In this paper, a multi-transmitting formula (MTF) was integrated into ANSYS software through secondary development, enabling dynamic finite element simulation of wave propagation in infinite domains. The numerical reliability and accuracy of the MTF were verified through a plane wave problem involving a homogeneous elastic half-space, as well as 3D scattering and source problems in a three-layered soil site. Additionally, a comparative analysis of various artificial boundaries was conducted to highlight the advantages of the MTF. Field observations of environmental vibrations caused by high-speed railway operations revealed localized amplification of vibrations along the depth direction at the Kunshan segment of the Beijing–Shanghai high-speed railway. Based on these observations, a series of numerical analyses were conducted using the customized ANSYS integrated with the MTF to investigate the underlying causes and mechanisms of this phenomenon, as well as the spatial variation characteristics of foundation vibrations induced by bridge vibrations during high-speed train operations. This study reveals the mechanism by which the combined effect of bridge piles and soft soil layers influences the depth variation in peak ground accelerations during site vibrations. It also demonstrates that the presence of bridge piers and pile foundations effectively reduces vibration intensity in the vicinity of the railway, playing a crucial role in mitigating vibrations induced by high-speed train operations. Full article
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<p>Flow chart of dynamic finite element analysis with MTF.</p>
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<p>The time history of input seismic ground motion.</p>
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<p>Seismic responses of homogeneous elastic half-space site.</p>
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<p>Comparison between numerical solution and analytical solution: (<b>a</b>) Bottom boundary; (<b>b</b>) free surface (top surface).</p>
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<p>Comparison among numerical simulation results of different artificial boundaries.</p>
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<p>ETNA2 accelerometer.</p>
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<p>Acceleration time histories of three-component vibrations at different depths in Kunshan test site: (<b>a</b>) Depth = 0 m; (<b>b</b>) depth = 1 m; (<b>c</b>) depth = 2 m; (<b>d</b>) depth = 3 m; (<b>e</b>) depth = 5 m.</p>
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<p>Acceleration time histories of three-component vibrations at different depths in Kunshan test site: (<b>a</b>) Depth = 0 m; (<b>b</b>) depth = 1 m; (<b>c</b>) depth = 2 m; (<b>d</b>) depth = 3 m; (<b>e</b>) depth = 5 m.</p>
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<p>Peak acceleration variations with depth increasing at Kunshan test site.</p>
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<p>Schematic diagram of model with piles.</p>
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<p>Applied load.</p>
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<p>Variations in vertical peak acceleration with depth at observation location 1 for both models.</p>
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<p>Variations in vertical peak acceleration with depth at all observation locations in the model with piles.</p>
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11 pages, 4185 KiB  
Article
Oedometer Study Regarding the Consolidation Behavior of Nanjing Soft Clay
by Yang Liu, Ruchen Ma, Yiyao Zhu, Xianting Yi, Alfrendo Satyanaga, Guoliang Dai, Peng Gao and Qian Zhai
Appl. Sci. 2024, 14(16), 7339; https://doi.org/10.3390/app14167339 - 20 Aug 2024
Viewed by 398
Abstract
Ground settlement resulting from consolidation may lead to tilted buildings, cracks in the pavement, damage to underground utilities, etc. Therefore, it is crucial to understand the consolidation behaviors (including primary consolidation and secondary compression) of the soil of the subgrade. There is a [...] Read more.
Ground settlement resulting from consolidation may lead to tilted buildings, cracks in the pavement, damage to underground utilities, etc. Therefore, it is crucial to understand the consolidation behaviors (including primary consolidation and secondary compression) of the soil of the subgrade. There is a large amount of soft clay deposited in Nanjing, located in the Yangtze River Basin. The consolidation behavior of Nanjing soft clay can significantly affect foundation design and the cost of construction. In this study, experimental measurements of the consolidation behavior of Nanjing soft clay were conducted, and parameters (such as pre-consolidation pressure, secondary consolidation index and secondary consolidation ratio) related to consolidation were assessed. The concept of simulated over-consolidation ratio (OCRs) was proposed, and the close relationship between primary consolidation and secondary compression settlement and the OCRs of Nanjing clay was investigated. Full article
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<p>Illustration of different types of creeping behavior for Batiscan clay from Leroueil et al. [<a href="#B5-applsci-14-07339" class="html-bibr">5</a>], where Type I corresponds to over-consolidated soil, Type II corresponds to normally consolidated soil, and Type III corresponds to over-consolidated soil.</p>
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<p>Division of primary consolidation and secondary compression.</p>
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<p>Determination of pre-consolidation pressure suggested by Casagrande [<a href="#B17-applsci-14-07339" class="html-bibr">17</a>].</p>
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<p>Soil strata from the soil investigation report.</p>
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<p>Undisturbed soil specimens collected from site.</p>
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<p>Image of the one-dimensional oedometer.</p>
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<p>Four specimens prepared for the oedometer test.</p>
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<p>Moisturizing measures.</p>
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<p>Compression curves for four specimens.</p>
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<p>The obtained compression index versus the pre-consolidation pressure (<span class="html-italic">p</span><sub>c</sub>).</p>
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<p>Variabilities in determined <span class="html-italic">C</span><sub>a</sub> for different specimens at different loading levels.</p>
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<p>Relationship curves between secondary compression ratio <span class="html-italic">C</span><sub>a</sub> and OCRs for soil specimens (a)–(d).</p>
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13 pages, 9031 KiB  
Article
Impacts of Downed Dead Wood Poplar Trees on Forest Regeneration in the Semi-Arid Region of Northern China
by Pengwu Zhao, Lijuan Guan, Huaxia Yao, Yang Shu, Yongjie Yue, Furen Liu, Yaxiong Zheng, Longfei Hao, Changlin Xiang and Liwen Zhou
Forests 2024, 15(8), 1460; https://doi.org/10.3390/f15081460 - 19 Aug 2024
Viewed by 485
Abstract
In the past few decades, due to rising temperatures and changes in precipitation, the degree of drought in semi-arid areas has increased, leading to a large number of tree deaths and threatening the natural forests distributed in the semi-arid areas of North China. [...] Read more.
In the past few decades, due to rising temperatures and changes in precipitation, the degree of drought in semi-arid areas has increased, leading to a large number of tree deaths and threatening the natural forests distributed in the semi-arid areas of North China. This article takes the forest ecosystem of Saihanwula Nature Reserve in the southern section of Greater Khingan Mountains in China’s semi-arid region as a research area and studies the distribution of downed dead wood and its impact on forest renewal in the area. We used the sample plot survey method, investigated the number of downed dead wood, decay class, dumping direction, existence form, and the number of regenerated seedlings in the sample plot, and calculated the density of regenerated seedlings in different plots. The renewal density is 4050 ± 824, 2950 ± 265, plants/ha, and 2625 ± 237 plants/ha, respectively, in the sample plots for Later-death plot, Mid-death plot, and Early-death plot. The average storage of downed dead wood in Saihanwula Nature Reserve is 58.51 ± 16.56 m3/ha. The distribution densities of downed dead wood are 50 ± 21, 806 ± 198, 189 ± 76, and 22 ± 5 plants/ha for decay classes II, III, IV, and V respectively. The main form of downed dead wood in the research area is “trunk base fracture”, accounting for 68.78% of the total number of downed dead wood. A large number of downed dead wood had serious negative effects, such as crushing and injuring the regeneration seedlings and other plants under the forest at the moment of dumping and for a long time after dumping. The crushed and injured rate is 5.3~7.8%, with downed dead wood accumulated in the forest from the early stage of downed dead wood. It had negative effects on the regeneration of seeds, seedlings, and young trees, such as obstructing and hiding the light from the soil surface and inhibiting the regeneration and growth of seedlings. However, after the trees were dumped, large gaps appeared in the forest, increasing the sunlight area on the soil surface. In the later stage of tree death, moderately high decayed downed dead wood changed the soil structure in terms of soil softness, water holding capacity, and nutrient content, thus promoting the growth of seedlings and young trees. Reasonably utilizing the relationship between downed dead wood and forest renewal can effectively promote the healthy development of forests. Full article
(This article belongs to the Special Issue Ecosystem Degradation and Restoration: From Assessment to Practice)
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<p>Location and site characteristics of the study area. <b>Upper left</b>: The location of the study area (<b>green triangle</b>) in northern China, with Inner Mongolia shown in light blue color. <b>Center left</b>: Elevation map of the Saihanwula Nature Reserve. <b>Right and bottom row:</b> Four pictures showing the landscape and downed dead wood.</p>
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<p>The generation process of downed dead wood, regeneration approach of seedlings, and decay class of downed dead wood.</p>
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<p>Downed dead wood reserves in Saihanwula Nature Reserve forest.</p>
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<p>The distribution of downed dead wood in plots.</p>
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<p>Decay class of downed dead wood in Saihanwula Nature Reserve forest.</p>
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<p>Precipitation and temperature changes from 1961 to 2022.</p>
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<p>The regeneration density of Saihanwula Nature Reserve forest. Note: “NS” is no significance (<span class="html-italic">p</span> &gt; 0.05) for the difference between two plots.</p>
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<p>The crushed and injured of downed dead wood in Saihanwula Nature Reserve forest.</p>
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27 pages, 3928 KiB  
Article
Plant Communities of the Tern Sanctuary on the Matsu Islands as a Breeding Habitat for Seabirds
by Wei Wang, Chun-Min Wang, Yi-Chiao Ho, Kuan-Chen Tang, Min-Chun Liao, Hui-Wen Lin and Hsy-Yu Tzeng
Diversity 2024, 16(8), 501; https://doi.org/10.3390/d16080501 - 15 Aug 2024
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Abstract
The Matsu Islands Tern Refuge comprises eight reefs located at a relay station on the East Asian bird migration route, and it attracts many transiting, wintering, or breeding birds to inhabit and live on the reefs every year. In order to understand the [...] Read more.
The Matsu Islands Tern Refuge comprises eight reefs located at a relay station on the East Asian bird migration route, and it attracts many transiting, wintering, or breeding birds to inhabit and live on the reefs every year. In order to understand the compositions of plant communities as a breeding habitat for seabirds, we investigated the plant communities of the eight reefs. A total of 130 plots of 10 × 10 square meters were established, from which we found 107 species of plants in 102 genera and 51 families. Among this, we found one critically endangered (CR) species, four vulnerable (VU) species, and three near-threatened (NT) species. The result of two-way indicator species analysis (TWINSPAN) and indicator value (IndVal) showed 130 samples were divided into 11 vegetation types; most of the vegetation types had significant indicator species. We also use the two-way to present the plot of detrended correspondence analysis (DCA) by vegetation types and reefs. Moreover, this result reveals that these samples were more clearly cluster divided by islands. Our results reveal that the compositions and characteristics of plant communities were related clearly to the environmental factors for each reef in the Matsu Islands Tern Refuge. Canonical correspondence analysis (CCA) indicated that species composition of vegetation yielded high correlation with soil property, especially with soil pH. In addition, we found that the traces of bird activity is relevant to the characteristics and structures of plant communities. We found that the plant communities comprising low-grass shrubs would provide relatively soft nesting materials and sheltering effects for eggs or hatchlings for terns. Compared to low-grass shrubs, the traits of high-grass shrubs would not be beneficial to nest for breeding of terns on the ground, and no nested trace was found in these plant communities. Full article
(This article belongs to the Special Issue Plant Diversity on Islands)
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<p>Location of the Matsu Islands Tern Refuge in the West Pacific Ocean.</p>
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<p>Two-way indicator species analysis (TWINSPAN) dendrogram of 130 sample plots based on importance values (IV) of species in the Matsu Islands Tern Refuge of the West Pacific Ocean. A total of 11 vegetation types were divided into: I. <span class="html-italic">Sageretia thea</span>-<span class="html-italic">Rhynchosia volubilis</span>-<span class="html-italic">Miscanthus floridulus</span> type, II. <span class="html-italic">Eurya emarginata</span>-<span class="html-italic">Euonymus japonicus</span> type, III. <span class="html-italic">Glochidion rubrum</span>-<span class="html-italic">Maclura cochinchinensis</span>-<span class="html-italic">Smilax china</span> type, IV. <span class="html-italic">Millettia reticulate</span>-<span class="html-italic">Grewia rhombifolia</span>-<span class="html-italic">Dendranthema indicum</span> type, <span class="html-italic">V</span>. <span class="html-italic">Artemisia capillaris</span>-<span class="html-italic">Chenopodium acuminatum</span> subsp. <span class="html-italic">virgatum</span>-<span class="html-italic">Setaria glauca</span> type, VI. <span class="html-italic">Aster asagrayi</span>-<span class="html-italic">Crossostephium chinense</span> type, VII. <span class="html-italic">Chenopodium acuminatum</span> subsp. <span class="html-italic">virgatum</span>-<span class="html-italic">Tetragonia tetragonoides</span> type, VIII. <span class="html-italic">Setaria pallide</span>-fusca-<span class="html-italic">Zoysia tenuifolia</span> type, IX. <span class="html-italic">Asparagus cochinchinensis</span>-<span class="html-italic">Crepidiastrum lanceolatum</span> type, X. <span class="html-italic">Boerhavia diffusa</span>-<span class="html-italic">Allium macrostemon</span> type, XI. <span class="html-italic">Maytenus diversifolia</span>-<span class="html-italic">Dactyloctenium aegyptium</span>-<span class="html-italic">Tetragonia tetragonoides</span> type.</p>
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<p>Detrended correspondence analysis (DCA) ordination diagram of vegetation types (<b>a</b>) and reefs (<b>b</b>) in the Matsu Islands Tern Refuge of the West Pacific Ocean. For vegetation type abbreviations, see <a href="#diversity-16-00501-f002" class="html-fig">Figure 2</a> and <a href="#diversity-16-00501-t002" class="html-table">Table 2</a>.</p>
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<p>Canonical correspondence analysis (CCA) ordination diagram of vegetation types along the gradient of environmental variables (arrow) in the Matsu Islands Tern Refuge. For vegetation type abbreviations, see <a href="#diversity-16-00501-f002" class="html-fig">Figure 2</a> and <a href="#diversity-16-00501-t002" class="html-table">Table 2</a>. So-Org is soil organic matter, So-N is total nitrogen of soil, So-pH is soil pH, and Alt is altitude.</p>
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<p>The reefs of the Matsu Islands Tern Refuge, including Shuangzih (<b>a</b>), Baimiao (<b>b</b>), Tiejian (<b>c</b>), Jhongdao (<b>d</b>), Sanlianyu (<b>e</b>), Jinyu (<b>f</b>), Lioucyuan (<b>g</b>), and Sheshan (<b>h</b>) Reefs.</p>
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<p>The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Shuangzih (<b>a</b>,<b>b</b>), Baimiao (<b>c</b>,<b>d</b>), and Tiejian (<b>e</b>–<b>h</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jhongdao (<b>i</b>–<b>k</b>), Sanlianyu (<b>l</b>–<b>o</b>), and Jinyu (<b>p</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jinyu (<b>q</b>,<b>r</b>), Lioucyuan (<b>s</b>,<b>t</b>), and Sheshan (<b>u</b>–<b>x</b>).</p>
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<p>The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Shuangzih (<b>a</b>,<b>b</b>), Baimiao (<b>c</b>,<b>d</b>), and Tiejian (<b>e</b>–<b>h</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jhongdao (<b>i</b>–<b>k</b>), Sanlianyu (<b>l</b>–<b>o</b>), and Jinyu (<b>p</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jinyu (<b>q</b>,<b>r</b>), Lioucyuan (<b>s</b>,<b>t</b>), and Sheshan (<b>u</b>–<b>x</b>).</p>
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<p>The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Shuangzih (<b>a</b>,<b>b</b>), Baimiao (<b>c</b>,<b>d</b>), and Tiejian (<b>e</b>–<b>h</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jhongdao (<b>i</b>–<b>k</b>), Sanlianyu (<b>l</b>–<b>o</b>), and Jinyu (<b>p</b>). The flora and vegetation compositions for each reef of the Matsu Islands Tern Refuge. Jinyu (<b>q</b>,<b>r</b>), Lioucyuan (<b>s</b>,<b>t</b>), and Sheshan (<b>u</b>–<b>x</b>).</p>
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<p>Relationship between plant communities and Chinese crested tern (<span class="html-italic">Thalasseus bernsteini</span> Schlegel) breeding habitats. Fern’s eggs at Shuangzih (<b>a</b>), Sanlianyu (<b>c</b>), Tiejian (<b>d</b>), Jhongdao (<b>e</b>), Lioucyuan (<b>f</b>,<b>g</b>) and Sheshan (<b>h</b>). Corpse of fern hatchlings at Sanlianyu (<b>b</b>).</p>
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