Computers and Geotechnics最新文献

英文中文

Load transfer and failure mechanisms of GRS bridge abutments: Insights from DEM simulations

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-24 DOI: 10.1016/j.compgeo.2025.107088

Yafei Jia , Qixin Wu , Jun Zhang , Yewei Zheng

This paper presents a discrete element method (DEM) investigation into the load transfer mechanisms and failure surfaces of geosynthetics reinforced soil (GRS) bridge abutments. A local strain-dependent reinforcement contact model is developed to accurately simulate the nonlinear tensile behavior of reinforcement. The study analyzes both the macroscopic deformation response and the microscopic fabric evolution of backfill soil under bridge load. The findings reveal that as the bridge load increases, the micro-bearing structure of the soil within the potential failure surface evolves through progressive loss of effective contacts, particle rotation, and fabric reorganization. These micromechanical phenomena underlie the development of shear bands and the global failure mechanism of GRS abutments. Furthermore, a parametric analysis is conducted to evaluate the effects of reinforcement stiffness, reinforcement vertical spacing, and backfill soil friction angle on failure surfaces of GRS abutments. The results demonstrate that higher reinforcement stiffness constrains failure surface development, while wider reinforcement spacing and lower soil friction angles lead to deeper and more pronounced failure surfaces. Overall, the study highlights the critical role of reinforcement-soil interactions and micromechanical processes in determining the deformation and failure surfaces of GRS bridge abutments.

{"title":"Load transfer and failure mechanisms of GRS bridge abutments: Insights from DEM simulations","authors":"Yafei Jia , Qixin Wu , Jun Zhang , Yewei Zheng","doi":"10.1016/j.compgeo.2025.107088","DOIUrl":"10.1016/j.compgeo.2025.107088","url":null,"abstract":"<div><div>This paper presents a discrete element method (DEM) investigation into the load transfer mechanisms and failure surfaces of geosynthetics reinforced soil (GRS) bridge abutments. A local strain-dependent reinforcement contact model is developed to accurately simulate the nonlinear tensile behavior of reinforcement. The study analyzes both the macroscopic deformation response and the microscopic fabric evolution of backfill soil under bridge load. The findings reveal that as the bridge load increases, the micro-bearing structure of the soil within the potential failure surface evolves through progressive loss of effective contacts, particle rotation, and fabric reorganization. These micromechanical phenomena underlie the development of shear bands and the global failure mechanism of GRS abutments. Furthermore, a parametric analysis is conducted to evaluate the effects of reinforcement stiffness, reinforcement vertical spacing, and backfill soil friction angle on failure surfaces of GRS abutments. The results demonstrate that higher reinforcement stiffness constrains failure surface development, while wider reinforcement spacing and lower soil friction angles lead to deeper and more pronounced failure surfaces. Overall, the study highlights the critical role of reinforcement-soil interactions and micromechanical processes in determining the deformation and failure surfaces of GRS bridge abutments.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107088"},"PeriodicalIF":5.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel closed-form solution for circular tunnels in cohesive-frictional soils using isogeometric analysis, upper bound limit analysis, and soft computing

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-23 DOI: 10.1016/j.compgeo.2025.107104

Toan Nguyen-Minh , Tram-Ngoc Bui , Jim Shiau , Tan Nguyen , Trung Nguyen-Thoi

An innovative method for deriving closed-form solutions to evaluate the stability of circular tunnels in cohesive-frictional soils under uniform surcharge loading is introduced in this study. By integrating isogeometric analysis (IGA) with upper bound limit analysis (UB) and advanced soft computing techniques, the approach simplifies complex geotechnical calculations for practical engineering applications. Utilizing Bézier extraction and non-uniform rational B-splines (NURBS) basis functions, the IGA framework ensures precise geometric representation and finite element analysis. A key innovation in this study is the automatic generation of a large dataset comprising 14,050 samples with varied parameters using IGA-UB. This dataset is used to train a deep neural network (DNN) and develop a multivariate adaptive regression splines (MARS) model. An importance-based sensitivity analysis and partial dependence plots (PDPs) are employed to evaluate and visualize the impact of various parameters on the stability outcomes, providing deeper insights into feature interactions and their effects. The resulting robust closed-form solution facilitates hand calculations, greatly aiding engineers in practical design and stability assessments. This approach enhances computational efficiency and accuracy, making it a valuable tool in geotechnical engineering.

{"title":"A novel closed-form solution for circular tunnels in cohesive-frictional soils using isogeometric analysis, upper bound limit analysis, and soft computing","authors":"Toan Nguyen-Minh , Tram-Ngoc Bui , Jim Shiau , Tan Nguyen , Trung Nguyen-Thoi","doi":"10.1016/j.compgeo.2025.107104","DOIUrl":"10.1016/j.compgeo.2025.107104","url":null,"abstract":"<div><div>An innovative method for deriving closed-form solutions to evaluate the stability of circular tunnels in cohesive-frictional soils under uniform surcharge loading is introduced in this study. By integrating isogeometric analysis (IGA) with upper bound limit analysis (UB) and advanced soft computing techniques, the approach simplifies complex geotechnical calculations for practical engineering applications. Utilizing Bézier extraction and non-uniform rational B-splines (NURBS) basis functions, the IGA framework ensures precise geometric representation and finite element analysis. A key innovation in this study is the automatic generation of a large dataset comprising 14,050 samples with varied parameters using IGA-UB. This dataset is used to train a deep neural network (DNN) and develop a multivariate adaptive regression splines (MARS) model. An importance-based sensitivity analysis and partial dependence plots (PDPs) are employed to evaluate and visualize the impact of various parameters on the stability outcomes, providing deeper insights into feature interactions and their effects. The resulting robust closed-form solution facilitates hand calculations, greatly aiding engineers in practical design and stability assessments. This approach enhances computational efficiency and accuracy, making it a valuable tool in geotechnical engineering.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107104"},"PeriodicalIF":5.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bayesian updating of geotechnical parameters with polynomial chaos Kriging model and Gibbs sampling

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-23 DOI: 10.1016/j.compgeo.2025.107087

Wenhao Zhang , M.Hesham El Naggar , Pinghe Ni , Mi Zhao , Xiuli Du

Due to the complex nature of site conditions and the influence of deposition conditions, aging, environmental exposure, and characterization techniques, the calibration of geotechnical parameters is significantly uncertain. The present study introduces a Bayesian updating method for geotechnical parameters to address the issues of parameter uncertainty and incomplete parameter information. Developed by combining a high-fidelity Polynomial Chaos Kriging (PC-Kriging) model with the Gibbs sampling method, this approach uses Least Angle Regression (LAR) to construct the Polynomial Chaos Expansion (PCE) coefficients, incorporating PCE as the trend function in the Kriging method to build the PC-Kriging model. The proposed method can avoid the computational challenges involved in Bayesian inference using dense numerical models, effectively reducing computational costs while obtaining the posterior distribution and statistical information of the model. This study primarily applies the proposed PC-Kriging-Gibbs (PCK-Gibbs) method to geotechnical engineering issues. The method is validated on two critical dynamic soil problems: Horizontal-to-vertical spectral ratio (HVSR) inversion and equivalent linearization in site response analysis. Meanwhile, the Kriging method and PCE were also used to verify the feasibility and computational efficiency of the proposed method. The posterior distribution samples of the model parameters obtained show good consistency between the sample means and actual values, significantly reducing the uncertainty of shear wave velocity. Compared to Bayesian inference analysis using only the Gibbs method, the proposed method dramatically decreases computation time while maintaining satisfactory results, providing a powerful computational tool for parameter updating in geotechnical engineering.

{"title":"Bayesian updating of geotechnical parameters with polynomial chaos Kriging model and Gibbs sampling","authors":"Wenhao Zhang , M.Hesham El Naggar , Pinghe Ni , Mi Zhao , Xiuli Du","doi":"10.1016/j.compgeo.2025.107087","DOIUrl":"10.1016/j.compgeo.2025.107087","url":null,"abstract":"<div><div>Due to the complex nature of site conditions and the influence of deposition conditions, aging, environmental exposure, and characterization techniques, the calibration of geotechnical parameters is significantly uncertain. The present study introduces a Bayesian updating method for geotechnical parameters to address the issues of parameter uncertainty and incomplete parameter information. Developed by combining a high-fidelity Polynomial Chaos Kriging (PC-Kriging) model with the Gibbs sampling method, this approach uses Least Angle Regression (LAR) to construct the Polynomial Chaos Expansion (PCE) coefficients, incorporating PCE as the trend function in the Kriging method to build the PC-Kriging model. The proposed method can avoid the computational challenges involved in Bayesian inference using dense numerical models, effectively reducing computational costs while obtaining the posterior distribution and statistical information of the model. This study primarily applies the proposed PC-Kriging-Gibbs (PCK-Gibbs) method to geotechnical engineering issues. The method is validated on two critical dynamic soil problems: Horizontal-to-vertical spectral ratio (HVSR) inversion and equivalent linearization in site response analysis. Meanwhile, the Kriging method and PCE were also used to verify the feasibility and computational efficiency of the proposed method. The posterior distribution samples of the model parameters obtained show good consistency between the sample means and actual values, significantly reducing the uncertainty of shear wave velocity. Compared to Bayesian inference analysis using only the Gibbs method, the proposed method dramatically decreases computation time while maintaining satisfactory results, providing a powerful computational tool for parameter updating in geotechnical engineering.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107087"},"PeriodicalIF":5.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Thermodynamics-based constitutive modeling of chemically-induced grain degradation for cohesive granular materials” [Comput. Geotech. 179 (2025) 1–17/107042]

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-22 DOI: 10.1016/j.compgeo.2025.107108

Yongfan Guo , SeonHong Na , Peijun Guo , Seokjung Kim

引用次数: 0

Assessment on the thermal efficiency of deep borehole heat exchangers under rock and soil heterogeneity

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-22 DOI: 10.1016/j.compgeo.2025.107075

Zhenggang Ba , Ye Wang , Zhuang Zhao , Weijian Zhang

To improve the prediction accuracy of heat gain in deep coaxial well heat exchanger (DCBHE), a fast calculation method based on the Proper Orthogonal Decomposition (POD) is proposed. This method analyzes the thermal conductivity distribution and temperature variations across different rock and soil layers. However, this algorithm only extracts the feature information from the original data, potentially introducing errors by not retaining all the data. To address this issue, a modification scheme is proposed. After modification, the relative error decreases from 3.5 % to 0.5 %, while the calculation speed increases by 3.7 %. The temperature distribution in layered rock and soil is then analyzed. It is found that the dimensionless temperature in layered conditions is higher than in uniform conditions, particularly near the heat source, with the maximum deviation ranging from 0.08596 to 0.56375. The modified POD method is 51.8 times faster than the Finite Difference Method (FDM) and provides higher accuracy, with a relative error of about 1.81 %. The study also examines the impact of rock and soil stratification on heat transfer. It finds that increased thermal conductivity inhomogeneity reduces heat transfer capacity, whereas a higher temperature gradient improves heat transfer efficiency, with a maximum increase of 15.25 %. While the inlet fluid temperature has a minimal effect on local heat removal capacity, it significantly enhances overall heat removal efficiency. Finally, by optimizing and predicting the fluid temperature at the borehole outlet, the optimal solution is achieved when the correlation coefficient (R² ≥ 0.99). The predicted range of soil thermal conductivity is 3.26 to 3.38 W/(m·K). This rapid prediction method offers a valuable reference for engineering design and optimization of heat exchangers, enhancing their application efficiency.

{"title":"Assessment on the thermal efficiency of deep borehole heat exchangers under rock and soil heterogeneity","authors":"Zhenggang Ba , Ye Wang , Zhuang Zhao , Weijian Zhang","doi":"10.1016/j.compgeo.2025.107075","DOIUrl":"10.1016/j.compgeo.2025.107075","url":null,"abstract":"<div><div>To improve the prediction accuracy of heat gain in deep coaxial well heat exchanger (DCBHE), a fast calculation method based on the Proper Orthogonal Decomposition (POD) is proposed. This method analyzes the thermal conductivity distribution and temperature variations across different rock and soil layers. However, this algorithm only extracts the feature information from the original data, potentially introducing errors by not retaining all the data. To address this issue, a modification scheme is proposed. After modification, the relative error decreases from 3.5 % to 0.5 %, while the calculation speed increases by 3.7 %. The temperature distribution in layered rock and soil is then analyzed. It is found that the dimensionless temperature in layered conditions is higher than in uniform conditions, particularly near the heat source, with the maximum deviation ranging from 0.08596 to 0.56375. The modified POD method is 51.8 times faster than the Finite Difference Method (FDM) and provides higher accuracy, with a relative error of about 1.81 %. The study also examines the impact of rock and soil stratification on heat transfer. It finds that increased thermal conductivity inhomogeneity reduces heat transfer capacity, whereas a higher temperature gradient improves heat transfer efficiency, with a maximum increase of 15.25 %. While the inlet fluid temperature has a minimal effect on local heat removal capacity, it significantly enhances overall heat removal efficiency. Finally, by optimizing and predicting the fluid temperature at the borehole outlet, the optimal solution is achieved when the correlation coefficient (<em>R</em><sup>2</sup> ≥ 0.99). The predicted range of soil thermal conductivity is 3.26 to 3.38 W/(m·K). This rapid prediction method offers a valuable reference for engineering design and optimization of heat exchangers, enhancing their application efficiency.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107075"},"PeriodicalIF":5.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic response of slopes under near-field seismic excitation using the material point method

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-22 DOI: 10.1016/j.compgeo.2025.107100

Wenjie Du , Xiaodong Fu , Qian Sheng , Jian Chen , Yongqiang Zhou , Shaojie Zheng

Seismic-induced landslides exhibit distinct instability mechanisms compared to gravitational landslides, characterized by dynamic features such as tension, projection, and directionality. This study investigates the dynamic response and instability mechanisms of near-fault slopes under seismic excitation using a simplified bedrock-slide body dual-structure slope, with failure process simulations conducted through the Material Point Method (MPM). The results indicate that periodic seismic vibrations lead to alternating deep shear and shallow tensile failures, facilitating the formation of a continuous sliding surface. Analyzing the instantaneous unbalanced force direction of particles under seismic load reveals a correlation between slope instability and seismic wave directionality. Seismic P-waves primarily cause tensile plastic failure in the geotechnical body, with smaller slope deformation but a greater potential for ejection toward the free surface. Conversely, S-waves cause considerable deformation, driving shear plastic failure within the slope and the formation of the sliding surface. The tensile and shear plastic responses lag behind the seismic vibrations. This paper discusses the correspondence between the slope’s dynamic response under seismic action and the progressive formation process of the sliding surface, where the interaction between the seismic driving force and inertial force results in a significant accumulation of plastic strain, directly affecting the mode of sliding surface formation. Studying the inherent driving mechanisms of slope dynamic failure reveals the dynamic response characteristics of the slope under seismic excitation from multiple perspectives, offering significant implications for explaining the typical directional failure patterns of earthquake-induced landslides.

{"title":"Dynamic response of slopes under near-field seismic excitation using the material point method","authors":"Wenjie Du , Xiaodong Fu , Qian Sheng , Jian Chen , Yongqiang Zhou , Shaojie Zheng","doi":"10.1016/j.compgeo.2025.107100","DOIUrl":"10.1016/j.compgeo.2025.107100","url":null,"abstract":"<div><div>Seismic-induced landslides exhibit distinct instability mechanisms compared to gravitational landslides, characterized by dynamic features such as tension, projection, and directionality. This study investigates the dynamic response and instability mechanisms of near-fault slopes under seismic excitation using a simplified bedrock-slide body dual-structure slope, with failure process simulations conducted through the Material Point Method (MPM). The results indicate that periodic seismic vibrations lead to alternating deep shear and shallow tensile failures, facilitating the formation of a continuous sliding surface. Analyzing the instantaneous unbalanced force direction of particles under seismic load reveals a correlation between slope instability and seismic wave directionality. Seismic P-waves primarily cause tensile plastic failure in the geotechnical body, with smaller slope deformation but a greater potential for ejection toward the free surface. Conversely, S-waves cause considerable deformation, driving shear plastic failure within the slope and the formation of the sliding surface. The tensile and shear plastic responses lag behind the seismic vibrations. This paper discusses the correspondence between the slope’s dynamic response under seismic action and the progressive formation process of the sliding surface, where the interaction between the seismic driving force and inertial force results in a significant accumulation of plastic strain, directly affecting the mode of sliding surface formation. Studying the inherent driving mechanisms of slope dynamic failure reveals the dynamic response characteristics of the slope under seismic excitation from multiple perspectives, offering significant implications for explaining the typical directional failure patterns of earthquake-induced landslides.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107100"},"PeriodicalIF":5.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reactive transport modeling of clogging in landfill leachate collection system

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-21 DOI: 10.1016/j.compgeo.2025.107102

Peifu Cai , Haijian Xie , Huaxiang Yan

The leachate collection system (LCS) is an important component of the barrier system of landfills. LCS in China is subjected to serious clogging due to the more degradable organics and water in the municipal solid wastes (MSWs). To evaluate the service life of LCS, a reactive transport model is developed to simulate the biogeochemical clogging in LCS. The hydrolysis reactions of degradable components and the kinetic calcium leaching process are taken into account to calculate the generation of VFAs and Ca²⁺ in MSW. The ionization equilibrium of volatile fatty acids (VFAs), dissolution equilibrium of calcium carbonate, and the kinetic biodegradation reactions of VFAs are considered to simulate the pH variation, calcium carbonate precipitation, and biofilm growth during clogging. By comparing with the laboratory experiment data, the proposed numerical model shows the ability to accurately predict the decrease of the porosity in LCS. Parameter analysis indicates that the decrease of the mass fraction of degradable components in MSW, leachate irrigation rate, and calcium ion leaching rate can significantly extend the service life of LCS. The proposed reactive transport model can be the methodological support for the design and service life prediction of leachate collection systems in landfills.

{"title":"Reactive transport modeling of clogging in landfill leachate collection system","authors":"Peifu Cai , Haijian Xie , Huaxiang Yan","doi":"10.1016/j.compgeo.2025.107102","DOIUrl":"10.1016/j.compgeo.2025.107102","url":null,"abstract":"<div><div>The leachate collection system (LCS) is an important component of the barrier system of landfills. LCS in China is subjected to serious clogging due to the more degradable organics and water in the municipal solid wastes (MSWs). To evaluate the service life of LCS, a reactive transport model is developed to simulate the biogeochemical clogging in LCS. The hydrolysis reactions of degradable components and the kinetic calcium leaching process are taken into account to calculate the generation of VFAs and Ca<sup>2+</sup> in MSW. The ionization equilibrium of volatile fatty acids (VFAs), dissolution equilibrium of calcium carbonate, and the kinetic biodegradation reactions of VFAs are considered to simulate the pH variation, calcium carbonate precipitation, and biofilm growth during clogging. By comparing with the laboratory experiment data, the proposed numerical model shows the ability to accurately predict the decrease of the porosity in LCS. Parameter analysis indicates that the decrease of the mass fraction of degradable components in MSW, leachate irrigation rate, and calcium ion leaching rate can significantly extend the service life of LCS. The proposed reactive transport model can be the methodological support for the design and service life prediction of leachate collection systems in landfills.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107102"},"PeriodicalIF":5.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the stress–strain behavior of municipal solid waste samples under varying temperatures

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-20 DOI: 10.1016/j.compgeo.2025.107076

Sandro Lemos Machado , Mehran Karimpour-Fard , Bahador Yazdanpour , Miriam de Fátima Carvalho

It is a fact that the temperature inside the waste mass is higher than the ambient outside the landfill. However, only a few experimental works have tried to address the effect of such elevated temperatures on the mechanical behavior of waste. Accordingly, developing a constitutive model based on experimental achievement is still incipient. In this paper, results from experimental literature and the results of a complementary testing campaign aided in better understanding and modeling the waste thermo-mechanical behavior. An existing model framework by the authors is extended to incorporate thermal effects on the waste bulk and fibrous reinforcement particles. The model predicted fairly the mechanical behavior of waste in terms of deviatoric stress, pore water pressure, and volumetric strains in drained and undrained triaxial tests performed on samples at different temperatures and with different plastic contents. Values of deviatoric stress predicted by the model for two specific axial strains are compared with experimental results, considering all the tested samples, proving the model’s capabilities in reproducing the waste’s overall behavior. Considering an axial strain of 20%, the probabilities of the model error occurrence in the range of

\pm 25 %

are 55% and 67% for CIU and CID tests, respectively.

{"title":"Modeling the stress–strain behavior of municipal solid waste samples under varying temperatures","authors":"Sandro Lemos Machado , Mehran Karimpour-Fard , Bahador Yazdanpour , Miriam de Fátima Carvalho","doi":"10.1016/j.compgeo.2025.107076","DOIUrl":"10.1016/j.compgeo.2025.107076","url":null,"abstract":"<div><div>It is a fact that the temperature inside the waste mass is higher than the ambient outside the landfill. However, only a few experimental works have tried to address the effect of such elevated temperatures on the mechanical behavior of waste. Accordingly, developing a constitutive model based on experimental achievement is still incipient. In this paper, results from experimental literature and the results of a complementary testing campaign aided in better understanding and modeling the waste thermo-mechanical behavior. An existing model framework by the authors is extended to incorporate thermal effects on the waste bulk and fibrous reinforcement particles. The model predicted fairly the mechanical behavior of waste in terms of deviatoric stress, pore water pressure, and volumetric strains in drained and undrained triaxial tests performed on samples at different temperatures and with different plastic contents. Values of deviatoric stress predicted by the model for two specific axial strains are compared with experimental results, considering all the tested samples, proving the model’s capabilities in reproducing the waste’s overall behavior. Considering an axial strain of 20%, the probabilities of the model error occurrence in the range of <span><math><mrow><mo>±</mo><mn>25</mn><mtext>%</mtext></mrow></math></span> are 55% and 67% for CIU and CID tests, respectively.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107076"},"PeriodicalIF":5.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consolidation analysis of composite ground with stone column using a composite column-soil element model coupled seepage characteristics

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-20 DOI: 10.1016/j.compgeo.2025.107064

Changqing Xia , Xiusong Shi , Anfeng Hu , Yuan Chen , F.E. Jalal , Xiangsheng Chen

Based on the permeability tests of soil-stone mixtures, a composite column-soil element encompassing the deformation and seepage characteristics of soil-stone mixtures was established by deploying the composite element method. This simplifies the complexity of finite element analysis for group column composite foundations, thereby retaining the column spacing, complex deformation, and seepage characteristics between columns and soil in the analysis. The accuracy of the formulated model was corroborated using the results of in-situ core sampling and load tests of vibro-replacement stone columns by considering the calculated outcomes of the consolidation model, developed using the composite column-soil element method for multi-column composite foundations. In addition, the influence of the depth of stone column installation, the soil content within the columns, and the amount of free gravel on the consolidation characteristics were examined via detailed computational analysis. The results indicate that the maximum lateral displacement of the natural soil foundation lessened from about 15 mm to 8 mm following the installation of stone columns. When the column depth was 30 m, the consolidation degree approached 52 % after six days of loading. The overall consolidation drainage rate was satisfactory, with a 15 % soil content within the columns. However, drainage performance was completely lost when the soil content increased to 25 %. Also, the amount of underlying free gravel posed minimal impact on the load-bearing and consolidation functions of the columns.

{"title":"Consolidation analysis of composite ground with stone column using a composite column-soil element model coupled seepage characteristics","authors":"Changqing Xia , Xiusong Shi , Anfeng Hu , Yuan Chen , F.E. Jalal , Xiangsheng Chen","doi":"10.1016/j.compgeo.2025.107064","DOIUrl":"10.1016/j.compgeo.2025.107064","url":null,"abstract":"<div><div>Based on the permeability tests of soil-stone mixtures, a composite column-soil element encompassing the deformation and seepage characteristics of soil-stone mixtures was established by deploying the composite element method. This simplifies the complexity of finite element analysis for group column composite foundations, thereby retaining the column spacing, complex deformation, and seepage characteristics between columns and soil in the analysis. The accuracy of the formulated model was corroborated using the results of in-situ core sampling and load tests of vibro-replacement stone columns by considering the calculated outcomes of the consolidation model, developed using the composite column-soil element method for multi-column composite foundations. In addition, the influence of the depth of stone column installation, the soil content within the columns, and the amount of free gravel on the consolidation characteristics were examined via detailed computational analysis. The results indicate that the maximum lateral displacement of the natural soil foundation lessened from about 15 mm to 8 mm following the installation of stone columns. When the column depth was 30 m, the consolidation degree approached 52 % after six days of loading. The overall consolidation drainage rate was satisfactory, with a 15 % soil content within the columns. However, drainage performance was completely lost when the soil content increased to 25 %. Also, the amount of underlying free gravel posed minimal impact on the load-bearing and consolidation functions of the columns.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"180 ","pages":"Article 107064"},"PeriodicalIF":5.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation of submerged landslide impact on underwater blocks using a two-phase SPH model: Insights into re-acceleration and extra translational extension of slides

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics

Pub Date : 2025-01-20 DOI: 10.1016/j.compgeo.2025.107094

Xiafei Guan , Xiekang Wang , Huabin Shi

Submarine landslides, as prevalent geological hazards, carry substantial sediment loads and high-energy water flows, posing threats to seabed infrastructure. However, research on dynamics of submarine landslide impacts on seabed structures remains limited. This paper applies a two-phase Smoothed Particle Hydrodynamics (SPH) model to simulate the impact dynamics of submarine landslides on rigid blocks. The model fully accounts for both water- sediment and sediment-sediment interactions, incorporating a two-phase δ-SPH approach to simulate impulse pressure stably and accurately. Results reveal that the presence of block does not always hinder sliding. Submarine landslides may experience notable re-acceleration and extra translational extension after colliding with underwater blocks if the block height is less than a critical threshold (about 26 % in the present simulations) of the slide’s frontal thickness. The phenomenon is highly related to the mixing between the slide and the ambient seawater, which has not been previously explored but is quantitatively discussed in this study. Furthermore, neglecting this mixing could result in an underestimation of the affected region length by more than 10%, a reduction in peak translational velocity by 8 %, and a weakening of impact forces on structures by up to 16 %.

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