Computers and Geotechnics最新文献_第6页

Micropolar hypoplasticity modeling of localized deformation in mixtures of face mask chips and sand

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-07 DOI: 10.1016/j.compgeo.2025.107173

Yu-Qi He, Zhen-Yu Yin

{"title":"Micropolar hypoplasticity modeling of localized deformation in mixtures of face mask chips and sand","authors":"Yu-Qi He, Zhen-Yu Yin","doi":"10.1016/j.compgeo.2025.107173","DOIUrl":"10.1016/j.compgeo.2025.107173","url":null,"abstract":"<div><div>This paper presents a novel micropolar-based hypoplastic model to reproduce the stress–strain relationship of face mask chips-sand mixtures (MSMs) and their localized deformation. Based on a critical state hypoplastic model, a non-polar hypoplastic model for MSMs is first developed with modifications and new features: (1) the cohesion induced by face mask chips is considered by introducing an additional stress tensor into the Cauchy stress tensor; (2) the initial stiffness variation in MSMs is described with a modified tangential modulus; and (3) the effective skeleton void ratio concept is introduced to capture the initial and critical void ratio variations in MSMs. The model is then extended to its micropolar terms by incorporating the micropolar theory, which includes an internal length parameter and a couple stress induced by particle rotation, with the advantage of overcoming the mesh dependency problem in the conventional finite element method (FEM) based simulations. Moreover, the new micropolar hypoplastic formulations are implemented into a FEM code. The onset and evolution of shear bands in MSMs are investigated by simulating a series of biaxial tests on both pure sand and MSMs. Numerical results are also compared to experimental observations, demonstrating that the developed micropolar hypoplastic model can adeptly capture the shear band propagation in MSMs and their mechanical responses.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"183 ","pages":"Article 107173"},"PeriodicalIF":5.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of soil crack on large-deformation consolidation of dredged clay under vacuum preloading: A numerical solution

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-05 DOI: 10.1016/j.compgeo.2025.107161

Guizhong Xu , Yifei Liu , Junjun Ni , Yupeng Cao , Sifang Deng

{"title":"Influence of soil crack on large-deformation consolidation of dredged clay under vacuum preloading: A numerical solution","authors":"Guizhong Xu , Yifei Liu , Junjun Ni , Yupeng Cao , Sifang Deng","doi":"10.1016/j.compgeo.2025.107161","DOIUrl":"10.1016/j.compgeo.2025.107161","url":null,"abstract":"<div><div>The presence of cracks in dredged clay can influence its consolidation behavior under vacuum preloading. Existing large-strain consolidation models do not consider crack effects. This study proposes a new large-strain consolidation model considering cracks (LSCC) that, for the first time, incorporates the influence of cracks on the permeability and vacuum transmission characteristics of dredged clay. The LSCC model can accurately calculate the consolidation behavior of cracked dredged clay under vacuum preloading. The model divides the soil around the prefabricated vertical drain (PVD) into a cracked area and an undisturbed area. Finite difference methods are employed to solve the model numerically. Validation against a physical model test demonstrates the effectiveness of the proposed approach. Parametric studies investigate the impact of crack formation time and the reduction in permeability due to crack closure under vacuum. Results indicate that cracks accelerate consolidation in the early stages but do not affect the final settlement if sufficient time is allowed. This work provides new insights into the consolidation mechanisms of dredged clay with cracks and offers a practical numerical model for vacuum preloading design.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"183 ","pages":"Article 107161"},"PeriodicalIF":5.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549374","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 method for evaluating the failure state of geomaterials in DEM by introducing equivalent Cauchy stress and macro strength criterion

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-04 DOI: 10.1016/j.compgeo.2025.107168

Hongyu Dong, Qingtao Lin, Dechun Lu, Fujun Zhang, Xiuli Du

{"title":"A method for evaluating the failure state of geomaterials in DEM by introducing equivalent Cauchy stress and macro strength criterion","authors":"Hongyu Dong, Qingtao Lin, Dechun Lu, Fujun Zhang, Xiuli Du","doi":"10.1016/j.compgeo.2025.107168","DOIUrl":"10.1016/j.compgeo.2025.107168","url":null,"abstract":"<div><div>Discrete Element Method (DEM) can well simulate the failure of geomaterials, but it is challenging to evaluate its stable degree and failure state. An approach for calculating the equivalent Cauchy stress field in both regular and irregular DEM models is proposed by establishing a local equivalent element for each particle. Meanwhile, the relationship between the stress ratio path during geomaterial failure and the macro strength criterion is analyzed, and then, a new evaluation index named <em>SF</em><sub>SRP</sub> is proposed. Combining the equivalent Cauchy stress and the <em>SF</em><sub>SRP</sub>, a method that can evaluate the stable degree and failure state of the geomaterial is established. Finally, the proposed method is implemented to analyze the failure process in four typical cases, including a trapdoor test, a retaining wall test, a tunnel excavation test, and a biaxial compression test, based on PFC2D. The results demonstrate that the proposed method not only presents the failure location intuitively but also quantitatively reflects the stable degree and failure state in the DEM model.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107168"},"PeriodicalIF":5.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550030","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

Tracking the evolution of loess microstructure using micro-CT 3D reconstruction based on a soil-particle-aware model

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-03 DOI: 10.1016/j.compgeo.2025.107176

Yuan Zhao, Ling Xu, Chaoyan Qin, Xiaolin Huang, Yuting Wu

{"title":"Tracking the evolution of loess microstructure using micro-CT 3D reconstruction based on a soil-particle-aware model","authors":"Yuan Zhao, Ling Xu, Chaoyan Qin, Xiaolin Huang, Yuting Wu","doi":"10.1016/j.compgeo.2025.107176","DOIUrl":"10.1016/j.compgeo.2025.107176","url":null,"abstract":"<div><div>The particle contours in the loess in-situ micro-CT test slices are always blurred by noise because the representative size of the mechanical test specimen is larger than the CT scanning area at adequate resolutions. An enhanced approach was proposed using convolutional neural networks and content-aware image restoration theory to construct a more precise 3D digital loess model. First, a training dataset was created by adding noise to clear CT slice images from fine tube loose soil specimens. Then, a conventional U-Net architecture neural network model was trained using this dataset to develop a soil-particle-aware model for high-noise micro-CT slice images of soil particles. Validation experiments, combining a small consolidation test apparatus and micro-CT scanning equipment, were conducted to track the microstructural evolution of air-fall loess specimens under consolidation pressure using the proposed method. The results indicate that the proposed method effectively identifies loess particle contours and accurately determines the particle size distribution curves under varying consolidation pressures. The issue of missing small particles in reconstructed models was addressed successfully. Finally, the mechanical coordination number, contact force distribution density, and peak pore throat diameter of air-fall specimens developed under vertical consolidation pressures were analysed using precise 3D digital models and the discrete element method.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107176"},"PeriodicalIF":5.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529667","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

Probabilistic stability analyses of two-layer undrained slopes

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-03 DOI: 10.1016/j.compgeo.2025.107178

Desheng Zhu , D.V. Griffiths , Gordon A. Fenton , Jinsong Huang

引用次数: 0

Fracture Characteristics of Granite Specimens after Heating-Cooling treatments: Insights from Experiments and GBM Simulations

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-03-01 DOI: 10.1016/j.compgeo.2025.107160

Hao Yin , Yan-Hua Huang , Kun-Bo Zhang , Xue-Wei Liu , Jun Peng , Ming-Xu Li

{"title":"Fracture Characteristics of Granite Specimens after Heating-Cooling treatments: Insights from Experiments and GBM Simulations","authors":"Hao Yin , Yan-Hua Huang , Kun-Bo Zhang , Xue-Wei Liu , Jun Peng , Ming-Xu Li","doi":"10.1016/j.compgeo.2025.107160","DOIUrl":"10.1016/j.compgeo.2025.107160","url":null,"abstract":"<div><div>The investigation of the fracture mechanical properties of granites after thermal cycling is of great significance for improving the operational stability of Enhanced Geothermal Systems (EGS) and optimizing the exploitation efficiency of hot dry rock (HDR). However, the mechanical responses of granite specimens after heating–cooling treatments have not been fully investigated. In this study, experiments and simulations were employed to analyze the effects of different temperature (200, 400, and 600 ℃) and number of cycles (5, 10, 15, and 20 cycles) on granite specimens. The results show that with the increasing temperature and number of cycles, the peak strength and Mode I fracture toughness degrade, and the mechanical behavior gradually transitions from brittle fracture to ductile yielding. Cyclic thermal treatments lead to the formation and propagation of thermal cracks, which coalesce with the primary cracks, forming a crack network. This process results in the deterioration of the internal structure of the rock, altering the distribution of force chains and making the crack propagation path more complex, with an increase in the roughness of the fracture surfaces. This study helps to better understand the mechanism of fracture mechanics of HDR.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107160"},"PeriodicalIF":5.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527126","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

Enhancing Bayesian probabilistic back-analysis efficiency using multi-type surface and subsurface monitoring data: Case study of the Baihetan left bank slope

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-02-27 DOI: 10.1016/j.compgeo.2025.107174

Wujiao Dai , Yue Dai , Jiawei Xie , Shaoluo Shen , Guangwei Shen , Yuanhang Wang

{"title":"Enhancing Bayesian probabilistic back-analysis efficiency using multi-type surface and subsurface monitoring data: Case study of the Baihetan left bank slope","authors":"Wujiao Dai , Yue Dai , Jiawei Xie , Shaoluo Shen , Guangwei Shen , Yuanhang Wang","doi":"10.1016/j.compgeo.2025.107174","DOIUrl":"10.1016/j.compgeo.2025.107174","url":null,"abstract":"<div><div>In large-scale hydropower project construction, comprehensive internal and external deformation monitoring (periodic observation) of high-steep rock slopes is crucial for revealing slope deformation and rock mass deterioration. However, few studies have examined the impact of using both surface and subsurface monitoring data on the performance of probabilistic back-analysis (PBA). This study aims to fill this gap by developing an improved Bayesian PBA method. Using the left bank excavation slope of the Baihetan (BHT) hydropower station in China as a case study, we probabilistically calibrated the geotechnical parameters of the slope using multi-type surface (robotic total stations) and subsurface (multi-point displacement meters and inclinometers) monitoring data. The results indicate that compared to using a single type of monitoring data, using multiple types of monitoring data can further reduce the uncertainty of geotechnical parameters. Specifically, integrating surface and subsurface monitoring data for back-analysis can achieve an optimal three-dimensional model prediction and yield a reasonable parameter set. When there are differences in monitoring data stability, incorporating relatively stable monitoring (minor deformation) data into the Bayesian back-analysis can help improve the convergence speed of Bayesian sequential inversion. However, appropriate methods are required to evaluate the contribution of these data to the back-analysis model.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107174"},"PeriodicalIF":5.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging physics-informed neural networks in geotechnical earthquake engineering: An assessment on seismic site response analyses

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-02-27 DOI: 10.1016/j.compgeo.2025.107137

Chenying Liu , Jorge Macedo , Alexander Rodríguez

{"title":"Leveraging physics-informed neural networks in geotechnical earthquake engineering: An assessment on seismic site response analyses","authors":"Chenying Liu , Jorge Macedo , Alexander Rodríguez","doi":"10.1016/j.compgeo.2025.107137","DOIUrl":"10.1016/j.compgeo.2025.107137","url":null,"abstract":"<div><div>The primary objective of this study is to assess the potential of physics-informed neural networks (PINNs) for seismic site response analyses (SRA). PINNs constitute a novel computational paradigm that combines physical principles with data-driven methods to solve differential equations. Despite the growing exploration of machine learning and deep learning in geotechnical earthquake engineering, the integration of PINNs remains limited. The study first addresses key challenges in applying PINNs to SRAs. In particular, the broad range of frequencies in ground motion recordings, which complicates the training process, and neural network architectural issues are discussed. Fourier feature embedding, a relatively new technique in image processing, learning rate adjustment, a tailored training strategy, and a PINN architecture are proposed to address the identified challenges. The proposed framework is evaluated by comparing SRA results from the implemented PINN and traditional numerical techniques, considering different ground motions and soil systems. The results of the proposed PINN and numerical techniques are identical, highlighting the robustness of the proposed framework. The encouraging results suggest there is significant potential for PINNs in general geotechnical earthquake engineering applications, which is also discussed.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107137"},"PeriodicalIF":5.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511161","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

Predicting the uniaxial capacity of plate anchors in spatially variable clay using metamodels

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-02-26 DOI: 10.1016/j.compgeo.2025.107157

Alessio Mentani , Laura Govoni , Christophe Gaudin , Phil Watson , Yinghui Tian

{"title":"Predicting the uniaxial capacity of plate anchors in spatially variable clay using metamodels","authors":"Alessio Mentani , Laura Govoni , Christophe Gaudin , Phil Watson , Yinghui Tian","doi":"10.1016/j.compgeo.2025.107157","DOIUrl":"10.1016/j.compgeo.2025.107157","url":null,"abstract":"<div><div>This paper investigates the effect of spatial variability in undrained shear strength on the uniaxial capacity of a deeply embedded plate anchor. The study was undertaken using the random field finite element method, and the results show that the ultimate uniaxial capacity is significantly influenced by strength heterogeneity, which is influenced by the different mobilised failure mechanisms and leads to a widely distributed probability of failure. Interpretation of the results also shows that it is possible to relate the statistical distribution of an operative undrained shear strength to the probability of failure of the plate, using close to constant uniaxial capacity factors. These findings simplify the assessment of plate capacity to the determination of the operative undrained shear strength, without needing to resort to computationally expensive finite element analyses. Additionally, the operative undrained shear strength obtained from random field modelling can be accurately emulated by metamodelling, which can then be used to correlate the input variables to the statistical distribution of the operative undrained shear strength. Through reference to a specific foundation geometry and set of soil variability parameters, this paper illustrates the potential of a simple and computationally cost-effective analytical procedure which, by combining random field finite element analyses and metamodels, relates site-specific field input variables to the probability of failure of a deeply embedded plate anchor in a spatially variable clay.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107157"},"PeriodicalIF":5.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Connecting landslide basal sliding surface characteristics with post-failure kinematics and impact on rigid structures: An MPM numerical study

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2025-02-26 DOI: 10.1016/j.compgeo.2025.107158

Aaditaya R. Roshan, Alba Yerro

{"title":"Connecting landslide basal sliding surface characteristics with post-failure kinematics and impact on rigid structures: An MPM numerical study","authors":"Aaditaya R. Roshan, Alba Yerro","doi":"10.1016/j.compgeo.2025.107158","DOIUrl":"10.1016/j.compgeo.2025.107158","url":null,"abstract":"<div><div>Understanding the landslide failure mechanism, the deformation process, and ultimately the impact forces generated by landslides on structures is essential for risk assessment. This paper connects these three aspects using the Material Point Method (MPM) and highlights the effect of landslides’ basal failure surface characteristics (i.e., geometry and interface friction) on (a) failure mechanism, (b) post-failure kinematics, and (c) impact force on rigid structures. The geometry of a biplanar landslide is considered, along with different types of slope transitions along the sliding basal surface, from a rotational landslide to a perfect biplanar landslide. A comprehensive parametric study with 310 simulations is performed to analyze the landslide post-failure behavior in terms of the radii of transition, the basal friction angle, the distance to the rigid wall, the roughness of the rigid wall, and the scale of the landslide. The results are presented regarding energy evolution, maximum impact force on the rigid wall, and final runout (in the absence of the wall). Results show that relatively small changes in the slope transition can have relevant impacts on kinematics and impact force. For validation purposes, the maximum impact force resulting from numerical results is compared to the predictions from existing semi-empirical approaches, which compare reasonably well. Finally, different methods to evaluate the impact velocity are evaluated, and the effect of numerical practices in the study of impact forces is also discussed.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107158"},"PeriodicalIF":5.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0