Computers and Geotechnics最新文献

{"title":"Interpretation of free-fall piezocone tests in clay using a simplified cylindrical cavity expansion solution","authors":"Minsheng Zhang ,&nbsp;George Kouretzis ,&nbsp;Changfa Li ,&nbsp;Lubao Luan","doi":"10.1016/j.compgeo.2025.107132","DOIUrl":"10.1016/j.compgeo.2025.107132","url":null,"abstract":"<div><div>This paper presents the derivation of a simplified closed-form expression for the interpretation of the undrained shear strength of clay soil from free-fall piezocone tests measurements, based on an undrained cylindrical cavity expansion solution. The cavity expansion solution employs an elastic-viscoplastic constitutive model to describe the rate-dependent behavior of clay upon loading. The derived expression correlates the measured tip resistance and pore pressure with the undrained shear strength by using a cone factor and a power function to account for strain rate effects. Unlike existing formulas that entail calibration of empirical parameters, the proposed expression requires as input only the constitutive model parameters and the cone geometry, which all have direct physical meaning. The cavity expansion solution, on which the interpretation expression is based on, is validated via comparison of its results against published studies, and accordingly the accuracy of the proposed expression is benchmarked against centrifuge test measurements. We show that, despite the simplifications introduced in the derivation, the proposed expression is capable of reproducing results of centrifuge tests with reasonable accuracy.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107132"},"PeriodicalIF":5.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427822","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}

{"title":"Analytical solution of heat transfer for energy soldier piles considering convection at the ground surface and internal wall of underground space","authors":"Guohao Dai ,&nbsp;Gangqiang Kong ,&nbsp;Qing Yang","doi":"10.1016/j.compgeo.2025.107150","DOIUrl":"10.1016/j.compgeo.2025.107150","url":null,"abstract":"<div><div>This paper presents a new 2-D heat transfer model for the energy soldier pile wall-internal structural wall during the operation and maintenance period of the internal building. Both the convection at the ground surface and the internal wall boundary convection effects are considered. The analytical solution to the problem is obtained by using the separation variable method and is compared with numerical solutions and an existing analytical solution to verify the correctness of the solution. The effects of the convection coefficient, thickness of overlying soil, and soil thermal conductivity on heat transfer are analyzed. Results show that the dimensionless temperature rise decreases with increasing internal/external convection heat transfer coefficient, increasing thickness of overlying soil, and decreasing soil thermal conductivity. For different times of operation, the temperature below the dimensionless depths of 2.1/6.6/9.5 (for the soil side) and 3.4/7.5/10.0 (for the underground space side) is mainly controlled by the heat source. For the summer conditions, the average air temperature is higher than the average pile-soil temperature, it is the ambient temperature that dominates, not the convection coefficient. The depths of ground convection effects corresponding to thicknesses of less than 1.0 m on the 30th day of operation are concentrated at depths of about 10.0. Under the premise of ensuring structural and engineering safety, using the smaller thickness of overlying soil has a better effect on both heat flux and temperature rise.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107150"},"PeriodicalIF":5.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420833","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}

{"title":"Machine Learning-guided Observational Method for Prediction of Preloading-induced Consolidation Settlement","authors":"Hua-Ming Tian ,&nbsp;Siew-Wei Lee ,&nbsp;Yu Wang","doi":"10.1016/j.compgeo.2025.107140","DOIUrl":"10.1016/j.compgeo.2025.107140","url":null,"abstract":"<div><div>The Asaoka’s method, established in the late 1970 s and based on an assumption of one-dimensional (1D) consolidation, has been used worldwide for prediction of reclamation-induced consolidation settlement with the aid of field monitoring data. In the last several decades, the state of the practice in geotechnical engineering has advanced significantly. For example, numerical modeling (e.g., 2D finite element method, FEM) is now commonly used for geotechnical analysis and design of reclamations. The 1D consolidation assumption in the Asaoka’s method is not compatible with 2D FEM analysis for predicting consolidation settlement and its variation in a 2D spatial domain. To tackle this challenge, this study proposes a machine learning-guided observational method for improving prediction of consolidation settlement from 2D FEM models using field monitoring data. It uses random FEM to incorporate various uncertainties and generate many sets of FEM analysis outcomes (e.g., time-varying settlement in a 2D space). Then, these outcomes are adopted as basis functions, or dictionary atoms, under a sparse dictionary learning (SDL) framework and used together with the field monitoring data sequentially acquired to continuously improve predictions of consolidation settlement. A ground improvement project using combined vacuum and surcharge preloading is adopted to illustrate the efficacy of the proposed approach.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107140"},"PeriodicalIF":5.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420830","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}

{"title":"Experimental and numerical investigation of the granular column collapse under different initial water-saturation conditions","authors":"Shu-San Hsiau ,&nbsp;Weihang Sun ,&nbsp;Li-Tsung Sheng ,&nbsp;Shih-Hao Chou ,&nbsp;Jun-Yi Wang ,&nbsp;Yongqi Wang","doi":"10.1016/j.compgeo.2025.107136","DOIUrl":"10.1016/j.compgeo.2025.107136","url":null,"abstract":"<div><div>This paper investigates experimentally and numerically the collapse of granular columns under different initial water-saturation conditions. The results show that the collapse dynamics of water-granular mixture columns strongly depend on the initial saturation condition. With the increase of initial water content of the column, both the particle runout distance and the particle velocity increase. During the collapse, different flow regimes, e.g., water-saturated, over-saturated, under-saturated or pure granular, pure water regions, can develop. Differences in particle velocities between the upper pure granular layer and the lower mixture layer in an under-saturated mixture, and the effect of the interaction between the upper pure water layer and the lower mixture layer in an over-saturated mixture are observed in the experiments. To describe such flow behaviours, a recently developed depth-averaged model with a two-layer structure is adopted, which is able to capture the dynamics with different flow regimes simultaneously, as well as their occurrence, transition, and disappearance. Comparisons between experimental and numerical results demonstrate good agreement. Additionally, the effects of the initial solid volume fraction and the initial column aspect ratio are analysed and quantified by numerical investigations, providing further insights into the mechanisms governing the flow dynamics.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107136"},"PeriodicalIF":5.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420831","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}

{"title":"Microscopic analysis of granular material behaviour from small to large strains","authors":"Qing Chen ,&nbsp;Chao Zhou","doi":"10.1016/j.compgeo.2025.107126","DOIUrl":"10.1016/j.compgeo.2025.107126","url":null,"abstract":"<div><div>The Discrete Element Method (DEM) has been widely used to study the macro–micro behaviour of granular materials at large strains (&gt;1%). However, investigations over a wider strain range are lacking. This study conducts DEM triaxial tests on specimens with different particle physical properties to examine their influence on macro–micro behaviour from small strains (below 1 %) to large strains. Small-strain behaviour is characterised by the maximum shear modulus, elastic range and stiffness degradation rate. Large-strain behaviour is analysed through the peak stress ratio, critical state stress ratio and void ratio. Then, the micro-mechanisms underlying these results are examined using the Stress-Force-Fabric (SFF) relationship, which links the (macro) stress ratio and (micro) anisotropy source. This study is the first to apply the SFF relationship to small strain behaviour. Results reveal the qualitative relationship between particle physical properties and macro-behaviour at different strains: increasing particle Young’s modulus enhances the maximum shear modulus but accelerates stiffness degradation; increasing shearing and rolling friction significantly reduces the stiffness degradation at small strains and enhances strength and dilation at large strains. This study also highlights the limitation of the Hertz contact model in capturing both small-strain and large-strain behaviour quantitatively using a single set of parameters. Hence, modellers should calibrate model parameters based on whether their focus is on large-strain or small-strain behaviour. For micro-behaviour, the relative importance of anisotropy sources depends on strain level rather than particle physical properties. At small strains, the mechanical anisotropy source (both normal and tangential forces) primarily controls stiffness and its degradation. At large strains, material strength is influenced by both mechanical and geometrical anisotropy sources, with anisotropy from the normal force being the most significant, followed by contact normal, tangential forces, and branch vector.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107126"},"PeriodicalIF":5.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420832","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}

{"title":"DEM modelling of shaft load transfer behavior of rock-socketed piles","authors":"J.G. Gutiérrez-Ch ,&nbsp;S. Melentijevic ,&nbsp;S. Senent ,&nbsp;R. Jimenez","doi":"10.1016/j.compgeo.2025.107149","DOIUrl":"10.1016/j.compgeo.2025.107149","url":null,"abstract":"<div><div>The behavior of rock-socketed piles (RSPs) has been the aim of extensive research through field load tests, centrifuge tests, numerical simulations, etc. In this work, the Distinct Element Method (DEM) is employed to study the load transfer behavior at the shaft of rough rock-socketed piles (RSPs) and the effect of socket roughness on their load capacity and on their complex load transfer mechanisms (LTMs). DEM numerical results indicate that socket roughness crucially affects the load transfer behavior of RSPs, as illustrated by the investigation of the following aspects: (i) load-settlement response, (ii) inter-particle force distributions obtained by the DEM model of RSP tests, (iii) the evolution of stresses at the pile-rock interface (PRI) as a function of socket head settlement, (iv) the distribution of axial load and shaft resistance mobilized with depth, and (v) the failure mechanism. Numerical results highlight that an “arching effect” controls the shaft LTM of rough RSPs. This behavior occurs because the pile load is not uniformly distributed along its length, but transferred through the front of asperities at the PRI. Additionally, this work identifies that “measurement slices” rather than “measurement spheres”, provide a more accurate force distributions along the pile in DEM simulations. Furthermore, DEM results are compared with experimental and numerical published in the literature and good agreement is found. Finally, based on DEM results, an idealized shaft LTM for axially loaded RSPs is proposed. This mechanism enhances the understanding of the fundamental physical processes governing the shaft LTM of RSPs.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107149"},"PeriodicalIF":5.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420848","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}

{"title":"Assessing highway resilience subjected to rainfall-induced slope failure","authors":"Jie Zhang ,&nbsp;Xiangyu Ma ,&nbsp;Meng Lu ,&nbsp;Atma Sharma ,&nbsp;Lulu Zhang","doi":"10.1016/j.compgeo.2025.107134","DOIUrl":"10.1016/j.compgeo.2025.107134","url":null,"abstract":"<div><div>Resilience assessment of the highway under rainfall-induced slope failure can support landslide hazard mitigation effectively. However, this direction is rarely studied. This study proposes a novel probabilistic method to assess highway resilience subjected to rainfall-induced slope failure, where the residual functionality of highways is quantified based on the landslide runout and the recovery process of blocked highways is modelled by a step function. First, a physically based model is built using a two stage FEM-MPM approach to simulate landslide runout under rainfall, and three types of uncertainties involved in resilience assessment of highways are explicitly modelled. To improve computational efficiency, a surrogate model is then created to predict the residual functionality of blocked highways. Finally, the mean value and the coefficient of variation of the highway resilience are estimated via Monte Carlo simulation. A four-lane highway next to a sandy slope is employed to perform the proposed method. The results show that the highway resilience is most sensitive to the strength parameter of the slope. As the variability of the slope strength parameter increases, the mean resilience of the highway decreases and the resilience variability increases. Overall, this study provides a useful tool for assessing highway resilience subjected to rainfall-induced slope failure.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107134"},"PeriodicalIF":5.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403720","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}

{"title":"Hydrothermal behaviors of geomaterials with multiple fracture channels: Effect of intersecting “X” and “Y” shape fractures","authors":"Shi-Feng Lu ,&nbsp;Xiao-Pei Guo ,&nbsp;Teng-Yuan Zhao ,&nbsp;Ling Xu","doi":"10.1016/j.compgeo.2025.107121","DOIUrl":"10.1016/j.compgeo.2025.107121","url":null,"abstract":"<div><div>The water flow and heat transfer characteristics within fractured geomaterials have significant practical applications in various fields, including deep geothermal resource development and oil and gas extraction. However, the presence of numerous intersecting fracture networks in geothermal systems complicates the hydrothermal coupling process in fractured geomaterials. Therefore, in this study, a multiphase microcontinuum approach is introduced to systematically study the hydrothermal coupling behavior in a multichannel fractured rock mass. Initially, a numerical model for water flow and heat transfer in fractured rock masses was established, and the accuracy and reliability of the multiphase microcontinuum method were verified through experiments. Two representative intersecting fractures in the rock mass, namely, “X”-shaped and “Y”-shaped fractures, were subsequently considered to delve into the effects of key parameters, such as the fracture aperture, water injection velocity, intersection angle of fractures, and water injection strategy, on the heat transfer performance of the fractured rock mass. Additionally, rock with parallel fracture channels was established to compare and investigate the heat transfer effect between water and rock masses with different fracture channel shapes. The results indicate that the fracture aperture, water flow rate, and intersection angle of fractures have substantial control over the heat transfer effect in fractured rock masses, whereas adjustments to the water injection method have a limited overall impact on the final heat transfer effect. Compared with single fracture channels, multichannel fractures can effectively enhance the heat transfer effect, and the shape and distribution of fracture channels significantly influence the heat exchange efficiency of fractured rock masses.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107121"},"PeriodicalIF":5.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395386","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}

{"title":"A self-adaptive physics-informed neural networks method for large strain consolidation analysis","authors":"Hang Zhou ,&nbsp;Han Wu ,&nbsp;Brian Sheil ,&nbsp;Zhuhong Wang","doi":"10.1016/j.compgeo.2025.107131","DOIUrl":"10.1016/j.compgeo.2025.107131","url":null,"abstract":"<div><div>Physics-Informed Neural Networks (PINNs) have shown considerable potential in solving both forward and inverse problems governed by partial differential equations (PDEs) for a wide range of practical applications. This study leverages PINNs for modeling nonlinear large-strain consolidation of soft soil, including creep behavior. The inherent material and geometric nonlinearities associated with soft soil consolidation pose challenges for PINNs, including precision and computational efficiency. To address these issues, we introduce self-adaptive physics-informed neural networks (SA-PINNs), featuring an adaptive loss function weighting and a slope scaling method for the activation functions. Additionally, a sensitivity analysis exploring the influence of monitoring data on the parameter inversion accuracy is presented. Two engineering case studies are used to benchmark the settlement prediction capabilities of the present SA-PINN method with traditional techniques, demonstrating the superior prediction accuracy and consistency of the SA-PINN approach. The findings highlight the significant potential of SA-PINN in practical geotechnical engineering problems.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107131"},"PeriodicalIF":5.3,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395384","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}

{"title":"Strategically Coupled Inertial Flow and Interface Evolution Model for Cavern Development by Dissolution Mining","authors":"Li Li ,&nbsp;Robert Garcie ,&nbsp;Maurice B. Dusseault","doi":"10.1016/j.compgeo.2025.107122","DOIUrl":"10.1016/j.compgeo.2025.107122","url":null,"abstract":"<div><div>Shape control is important for large-scale underground caverns developed by dissolution mining; however, it is greatly complicated by turbulent brine flow and natural and forced convection. An improved model for simulating dissolution mining of large caverns over long injection periods is presented. The brine flow is modeled using the Reynolds-Averaged Navier-Stokes equations coupled with a mass conservation equation governing the evolution of the cavern walls. It is demonstrated that cavern wall irregularities previously assumed to be exclusively due to mineral heterogeneity are also readily attributable to the turbulent flow. Two competing dissolution mechanisms are identified, one enhancing dissolution unevenness and one that smooths out irregular dissolution features on the cavern walls. Two cavern construction methods were investigated: reverse and direct dissolution methods, which tend towards a “morning glory” and a “wide bottom decanter” shaped cavern, respectively. Results suggest that, because of the buoyancy effect, large roof spans are unavoidable without using an oil/air blanket; however, blanket usage leads to more jagged boundaries and can decrease the cavern construction rate. This study opens a path to the development of robust models of large-scale cavern development for energy storage and has implications for similar processes such as leach mining or ice melting.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"181 ","pages":"Article 107122"},"PeriodicalIF":5.3,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395385","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}