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A novel particle-cell hybrid (PCH) method for geotechnical large deformation analysis

Computers and Geotechnics 2025年 184卷

作者： Zhang, Yujia Zhang, Xue Wang, Liang Meng, Jingjing Wang, Bin Department of Civil and Environment Engineering School of Engineering University of Liverpool United Kingdom State Key Laboratory of Geomechanics and Geotechnical Engineering Safety Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan China School of Infrastructure Engineering Nanchang University Nanchang China

The Particle Finite Element Method (PFEM) and its variants, such as the Smoothed PFEM (SPFEM), have gained popularity for analysing geotechnical problems. However, the challenge of mass conservation often compromises the accuracy of numerical results across various applications. In this study, we introduce a novel strategy to address this issue by integrating the concept of material points into SPFEM, thereby establishing a Particle-Cell Hybrid (PCH) method. This approach retains the advantages of SPFEM while ensuring mass conservation. The core idea involves incorporating mass information for each particle during computations. Despite its simplicity, this treatment has proven to be robust and effective through a series of benchmarking tests. Additionally, numerical experiments demonstrate that the PCH method considerably reduces sensitivity to unphysical factors in the boundary identification technique employed within the PFEM framework. The proposed framework represents a significant advancement in the development of PFEM, and can be easily incorporated into other PFEM codes and software to improve their numerical accuracy. © 2025

关键词： Hybrid method Large deformation analysis PFEM Mass conservation

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Mechanical properties and permeability evolution of sandstone subjected to the coupling effects of chemical-seepage-stress

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Journal of Central South University 2025年第2期32卷 552-565页

作者： WANG Wei CHEN Chao-wei CAO Ya-jun JIA Yun LIU Shi-fan SHEN Wan-qing Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering Hohai UniversityNanjing 210098China Research Institute of Geotechnical Engineering Hohai UniversityNanjing 210098China University of Lille CNRSCentrale LilleUMR 9013 Laboratoire de mecanique multiphysique et multiechelleF 59000 LilleFrance Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Shenyang 110819China

In this study,a series of triaxial tests are conducted on sandstone specimens to investigate the evolution of their mechanics and permeability characteristics under the combined action of immersion corrosion and seepage of different chemical *** is observed that with the increase of confining pressure,the peak stress,dilatancy stress,dilatancy stress ratio,peak strain,and elastic modulus of the sandstone increase while the Poisson ratio decreases and less secondary cracks are produced when the samples are *** pore pressure and confining pressure have opposite influences on the mechanical *** the increase of the applied axial stress,three stages are clearly identified in the permeability evolution curves:initial compaction stage,linear elasticity stage and plastic deformation *** permeability reaches the maximum value when the highest volumetric dilatancy is *** addition,the hydrochemical action of salt solution with pH=7 and 4 has an obvious deteriorating effect on the mechanical properties and induces the increase of *** obtained results will be useful in engineering to understand the mechanical and seepage properties of sandstone under the coupled chemical-seepage-stress multiple fields.

关键词： red sandstone chemical corrosion multi-field coupling mechanical characteristics permeability evolution

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Imbibition Front and Phase Distribution in Shale Based on Lattice Boltzmann Method

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Computer Modeling in engineering & Sciences 2025年第2期142卷 2173-2190页

作者： Li Lu Yadong Huang Kuo Liu Xuhui Zhang Xiaobing Lu State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and Technology(Beijing)Beijing100083China Center forDigital Technology Research Hubei Provincial Communications Planning and Design Institute CoLtd.Wuhan430051China Institute of Mechanics Chinese Academy of SciencesBeijing100190China College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing210098China School of Engineering Science University of Chinese Academy of SciencesBeijing101408China

To study the development of imbibition such as the imbibition front and phase distribution in shale,the Lattice Boltzmann Method(LBM)is used to study the imbibition processes in the pore-throat network of *** dimensional analysis,four dimensionless parameters affecting the imbibition process were determined.A color gradient model of LBM was used in computation based on a real core pore size *** numerical results show that the four factors have great effects on *** impact of each factor is not *** imbibition process is the comprehensive effect of all *** imbibition front becomes more and more non-uniform with time in a heterogeneous pore-throat *** non-wetting phases(oil here)cannot be displaced *** displacement efficiency and velocity do not change monotonously with any *** development of the average imbibition length with time is not smooth and not linear in a heterogeneous pore-throat *** fitting relations between the four dimensionless parameters and the imbibition velocity and efficiency are obtained,respectively.

关键词： Imbibition LBM dimensional analysis shale

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Resilience analysis of tunnel lining under creep-induced convergence of soft rock: Characterization and field application

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Tunnelling and Underground Space Technology 2025年 163卷

作者： Shu, Xiaoyun Chen, Weizhong Tian, Hongming Zhu, Zhende Yuan, Jingqiang Yu, Jianxin State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences China College of Civil and Transportation Engineering Hohai University Jiangsu Nanjing210024 China School of Civil Engineering Henan Polytechnic University Jiaozuo454003 China

Assessment of tunnel lining resilience is critical to ensure long-term structural stability under soft rock excavation. In this paper, a novel analytical approach is proposed to assess its performance, considering the time-dependent properties of tunnel deformation. Based on the complex stress behavior of lining, the ratio of compressive and tensile stress to its strength is selected as a performance indicator (Q) of resilience. A new resilience metric (Re) is defined to explore the non-uniform stress behavior of the lining. This metric is calculated as the ratio of the integral of disturbed Q to that of undisturbed Q by incorporating the spatial parameters of the lining. Subsequently, the rationality and applicability of the proposed method are validated through a case study involving a diversion tunnel exhibiting time-dependent deformation behavior. The parameters of compressible layer support are optimized based on Re. The results indicate that the lining Re decreases substantially (Re © 2025

关键词： Tunnel linings

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Geomorphic and geologic controls on large-scale landslides in the Himalayan region of China

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Landslides 2025年第5期22卷 1725-1741页

作者： Wang, Yu-Feng Chen, Peng-Hai Qian, Jia-Zhen Cheng, Qian-Gong Ming, Jie Li, Chuan-Bao Department of Geological Engineering Southwest Jiaotong University Sichuan Chengdu610031 China Key Laboratory of High-Speed Railway Engineering Ministry of Education Sichuan Chengdu610031 China State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety Sichuan Chengdu610031 China Zhejiang Huadong Geotechnical Investigation & Design Institute Co Ltd Zhejiang Hangzhou310030 China China Railway Economic and Planning Research Institute Beijing100038 China

Catastrophic large-scale landslides frequently occur in the Himalayan region, causing significant damage to infrastructure and loss of life. However, studies on the occurrence of such landslides are limited, and the main factors controlling their spatial and size distributions are unclear, which greatly restrict disaster prevention. In this study, a new and detailed inventory of large-scale landslides in the Chinese Himalayas is conducted through artificial interpretation of remote sensing imagery and field surveys, with 794 landslides having volumes ≥ 106 m3 identified. Furthermore, a comprehensive analysis of the spatial and size distributions of landslides under the control of 7 key geomorphic and geologic factors is carried out. Our observations indicate that large-scale landslides display clustering characteristics with four high-kernel-density areas. The distribution of landslides is related primarily to specific lithological units, which consist of thick hard sedimentary rocks and Neoproterozoic-Cambrian gneiss. Additional preferred controls on the landslide distribution are distances to faults and rivers, with slope being the third dominant factor and the preferred slope being 30–40°. Glaciers appear largely to influence the volumes of landslides by intensively fracturing their bedrock, resulting in a more concentrated distribution of slope angles and volumes for the glacial affected landslides than for nonglacial affected landslides. The contributions of elevation and aspect to the occurrence of large-scale landslides are minor. Focusing on large-scale landslides in the Himalayan region of China, a new and systematic analysis of their complex spatial and size distributions is conducted, with new insights into the possible geomorphic and geologic controls on them being reached. With this study, we hope to provide more insights for future geological hazard assessments and management strategies. © Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Landslides

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Impact-induced failure and mechanical response of rapidly solidified sealing materials for blast holes

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engineering Failure Analysis 2025年 175卷

作者： Chen, Jiayao Yue, Zhongwen Liu, Wei Wang, Peng Xue, Kejun Jin, Qingyu Ren, Meng Liu, Huaqiang Beijing100083 China State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and Technology Beijing100083 China

This study addresses the challenge of inadequate hole sealing in the drill-and-blast method, which often results in suboptimal blasting performance, by investigating the development and mechanical behavior of sealing materials through theoretical analysis and laboratory testing. First, the formation mechanism of caliche is analyzed, leading to the creation of a stable, fast-setting single-slurry sealing material suitable for pumping applications. Second, a dynamic friction strength model is developed to characterize the sealing performance of the material, based on principles of material and friction mechanics. Furthermore, key factors influencing sealing strength are systematically identified. Finally, the mechanical response of the materials is evaluated under various conditions using static compression tests and Split Hopkinson Pressure Bar (SHPB) impact tests, offering a systematic framework for evaluating the material's behavior under both quasi-static and high strain-rate conditions. The results indicate that sealing length has a more pronounced effect on sealing properties than the material's age. Furthermore, as impact air pressure increases, the sealing material undergoes a failure transition from brittle fracture to plastic deformation, demonstrating enhanced damage resistance under high strain rate conditions. This study also reveals previously unquantified effects of sealing length and impact loading on failure behavior, providing new insights into the material's dynamic failure resistance and sealing efficiency optimization. These findings not only enhance the sealing quality of blast holes but also provide valuable insights into mechanized sealing technology, offering significant implications for engineering applications. © 2025

关键词： Strain rate

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Optimization method of conditioning factors selection and combination for landslide susceptibility prediction

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Journal of Rock Mechanics and geotechnical engineering 2025年第2期17卷 722-746页

作者： Faming Huang Keji Liu Shuihua Jiang Filippo Catani Weiping Liu Xuanmei Fan Jinsong Huang School of Infrastructure Engineering Nanchang UniversityNanchang330031China Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan430074China Department of Geosciences University of PadovaVia Gradenigo 6Padova35131Italy State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu610059China Discipline of Civil Surveying and Conditioning EngineeringPriority Research Centre for Geotechnical Science and EngineeringUniversity of NewcastleNSWAustralia

Landslide susceptibility prediction(LSP)is significantly affected by the uncertainty issue of landslide related conditioning factor ***,most of literature only performs comparative studies on a certain conditioning factor selection method rather than systematically study this uncertainty ***,this study aims to systematically explore the influence rules of various commonly used conditioning factor selection methods on LSP,and on this basis to innovatively propose a principle with universal application for optimal selection of conditioning ***'yuan County in southern China is taken as example considering 431 landslides and 29 types of conditioning *** commonly used factor selection methods,namely,the correlation analysis(CA),linear regression(LR),principal component analysis(PCA),rough set(RS)and artificial neural network(ANN),are applied to select the optimal factor combinations from the original 29 conditioning *** factor selection results are then used as inputs of four types of common machine learning models to construct 20 types of combined models,such as CA-multilayer perceptron,CA-random ***,multifactor-based multilayer perceptron random forest models that selecting conditioning factors based on the proposed principle of“accurate data,rich types,clear significance,feasible operation and avoiding duplication”are constructed for ***,the LSP uncertainties are evaluated by the accuracy,susceptibility index distribution,*** show that:(1)multifactor-based models have generally higher LSP performance and lower uncertainties than those of factors selection-based models;(2)Influence degree of different machine learning on LSP accuracy is greater than that of different factor selection ***,the above commonly used conditioning factor selection methods are not ideal for improving LSP performance and may complicate the LSP *** contrast,a satisfied combination o

关键词： Landslide susceptibility prediction Conditioning factors selection Support vector machine Random forest Rough set Artificial neural network

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Structural characteristics and formation process of pseudotachylyte in the Wulian detachment fault zone on the Jiaodong Peninsula， China

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Journal of Earth Science 2025年

作者： Ruijie Wang Jinlong Ni Guiyuan Li Junlai Liu Lei Ji Yiren Wang Runye Lü School of Earth Sciences and Engineering， Shandong University of Science and Technology Qingdao Geologic and Mineral Geotechnical Engineering Co.， Ltd. State Key Laboratory of Geological Processes and Mineral Resources， China University of Geosciences(Beijing) Laboratory for Marine Mineral Resources，Qingdao Marine Science and Technology Center

Exploring pseudotachylytes (PSTs) within detachment fault zones provides valuable insight into the kinematic processes of these fault systems. Nevertheless， significant controversy persists regarding the origin and formation mechanisms of PST veins. The PST was initially identified within the Wulian detachment fault zone (DFZ) on the Jiaodong Peninsula by delineating the deformation characteristics of the fault zone's transition from ductile to ductile-brittle behavior. Macroscopic and microstructural features of the PST within the Wulian DFZ were examined using geological field surveys. Using quantitative and high-resolution techniques， such as scanning electron microscopy， TIMA-X mineral composition analysis， and transmission electron microscopy， variations in mineral composition between the veins and detritals of the PST were investigated. Furthermore， this study has investigated the progressive deformation processes and underlying causes contributing to PST formation within the DFZ. This study revealed the presence of both type D and B-type PSTs in the Wulian DFZ formed under ductile or ductile-brittle conditions. These PSTs exhibit fracture and fusion structures resulting from fault frictional fragmentation and frictional melting and undergo progressive deformation. During the initial stages of the D-type PST formation， biotite fragmentation in poorly cohesive foliation was the primary contributor， supplemented by frictional melting. As the deformation progressed， quartz fragmentation and partial melting became dominant， constituting up to 81.9% of the matrix. The formation of the B-type PST aligns with deformation under brittle or ductile-brittle conditions， with frictional fragmentation and fragmentation flow playing significant roles. Vein formation is initiated by biotite fragmentation or partial melting， followed by quartz， potassium feldspar， albite fragmentation， or partial melting. Mature PST veins exhibited distinct zoning characteristics， with a diffu

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Railway Slope Monitoring Based on Dual-Parameter FBG Sensor

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Photonic Sensors 2025年第1期15卷 47-60页

作者： Hongbin XU Weiwei WANG Feng LI Yanliang DU Hongliang TU Chuanrui GUO College of Civil and Transportation Engineering Shenzhen UniversityShenzhen 518060China National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment Shenzhen UniversityShenzhen 518060China School of Civil Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050043China Institute of Urban Smart Transportation&Safety Maintenance Shenzhen UniversityShenzhen 518060China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChineseAcademy of SciencesWuhan 430071China

A large number of slopes appear along the line during railway construction,which will pose a threat to railway safety *** monitoring plays an important role in ensuring the safety of railway *** at the difficulties of sensor multiplexing,low accuracy,and large disturbance by trains,this paper proposes a railway slope monitoring method based on integrated fusion detection of inclination and *** and failure characteristics of the K3 slope in Shuohuang Railway and dynamic characteristics under the excitation of the train load are analyzed by the finite element method(FEM)*** on the above analysis,a slope monitoring system is established utilizing the self-developed dual-parameter fiber Bragg grating(FBG)*** monitoring data of the past four years show that the slope is in a relatively stable state at *** monitoring data are consistent with the results of the *** feasibility of the damage identification method based on inclination and vibration characteristics is verified,which provides a new method for railway slope monitoring.

关键词： Fiber Bragg grating railway slope monitoring inclination vibration

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Study on dissolution kinetics of rock salt in the construction of underground energy storage salt cavern

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Chemical engineering Science 2025年 309卷

作者： Wang, Tongtao Xie, Dongzhou Liao, Youqiang Xie, Kai He, Tao State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China Hubei Key Laboratory of Mineral Resources Processing and Environment School of Resources and Environment Engineering Wuhan University of Technology Wuhan 430070 China PipeChina Engineering Technology Innovation Co. Ltd. Tianjin300457 China

Water solution mining is one of the ways to construct a salt cavern in rock salt formation. However, current research on the dissolution mechanism of rock salt is unclear. In this paper, the dissolution mechanism of rock salt is revealed and a kinetic model is established by a series of dissolution tests. Results show that ion diffusion is the control step of rock salt dissolution under static conditions, the surface reaction rate constant is 5 ∼ 6.4 times that of the ion diffusion rate constant. The temperature increases from 20 to 50 °C under static conditions, the dissolving rate of rock salt increases by 20 %. The convection of solution significantly promoted the dissolution of rock salt. When the stirring speed of rock salt increases from 0 to 600 rpm, the dissolving rate of rock salt can increase by 218 %. The average relative error of the predicted dissolving rate of rock salt is 13.14 %. © 2025 Elsevier Ltd

关键词： Diffusion Dissolution Rock salt Salt cavern Underground energy storage

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