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A roughness parameter considering joint material properties and peak shear strength model for rock joints

International Journal of Mining Science and Technology 2021年第3期31卷 413-420页

作者： Liren Ban Weisheng Du Tianwei Jin Chengzhi Qi Xiaozhao Li School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China Deep Mining and Rock Burst Research Institute China Coal Research InstituteBeijing 100013China State Key Laboratory of Coal Mining and Clean Utilization China Coal Research InstituteBeijing 100013China

This study aims at proposing a reasonable roughness parameter that can reflect the peak shear strength(PSS)of rock ***,the contribution of the asperities with different apparent dip angles to shear strength is *** the shear strength of the entire joint asperities is *** results showed that the PSS of the entire joint asperities is proportional to a key parameter hs,which is related to the geometric character of the joint surface and the joint material *** parameter hsis taken as the new roughness parameter,and it is reasonable to associate the PSS with the geometric characteristics of the joint *** on the new roughness parameter and shear test results of 20 sets of joint specimens,a new PSS model for rock joints is *** new model is validated with the artificial joints in this paper and real rock joints in published *** showed that it is suitable for different types of rock joints except for gneiss *** new model has the form of the Mohr-Coulomb model,which can directly reflect the relationship between the 3 D roughness parameters and the peak dilation angle.

关键词： Roughness Joint material properties Rock joints peak shear strength Asperities

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A method to predict the peak shear strength of rock joints based on machine learning

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Journal of Mountain Science 2023年第12期20卷 3718-3731页

作者： BAN Li-ren ZHU Chun HOU Yu-hang DU Wei-sheng QI Cheng-zhi LU Chun-sheng School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China Key Laboratory of Construction and Safety of Water Engineering of the Ministry of Water Resources China Institute of Water Resources and Hydropower ResearchBeijing 100038China School of Earth Sciences and Engineering Hohai UniversityNanjing 210098China Anhui Province Key Laboratory of Building Structure and Underground Engineering Anhui Jianzhu UniversityHefei 230601China Deep Mining and Rock Burst Research Institute China Coal Research InstituteBeijing 100013China School of Civil and Mechanical Engineering Curtin UniversityWestern Australia 6845Australia

In geotechnical and tunneling engineering,accurately determining the mechanical properties of jointed rock holds great significance for project safety *** shear strength(PSS),being the paramount mechanical property of joints,has been a focal point in the research *** are limitations in the current peak shear strength(PSS)prediction models for jointed rock:(i)the models do not comprehensively consider various influencing factors,and a PSS prediction model covering seven factors has not been established,including the sampling interval of the joints,the surface roughness of the joints,the normal stress,the basic friction angle,the uniaxial tensile strength,the uniaxial compressive strength,and the joint size for coupled joints;(ii)the datasets used to train the models are relatively limited;and(iii)there is a controversy regarding whether compressive or tensile strength should be used as the strength term among the influencing *** overcome these limitations,we developed four machine learning models covering these seven influencing factors,three relying on Support Vector Regression(SVR)with different kernel functions(linear,polynomial,and Radial Basis Function(RBF))and one using deep learning(DL).Based on these seven influencing factors,we compiled a dataset comprising the outcomes of 493 published direct shear tests for the training and validation of these four *** compared the prediction performance of these four machine learning models with Tang’s and Tatone’s *** prediction errors of Tang’s and Tatone’s models are 21.8%and 17.7%,respectively,while SVR_linear is at 16.6%,SVR_poly is at 14.0%,and SVR_RBF is at 12.1%.DL outperforms the two existing models with only an 8.5%***,we performed shear tests on granite joints to validate the predictive capability of the DL-based *** the DL approach,the results suggest that uniaxial tensile strength is recommended as the material strength term in the PSS model for m

关键词： peak shear strength Rock joints Prediction model Machine learning Deep learning

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shear behavior of intact granite under thermo-mechanical coupling and three-dimensional morphology of shear-formed fractures

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第3期15卷 523-537页

作者： Bing Chen Baotang Shen Haiyang Jiang State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and TechnologyQingdao266590China CSIRO Mineral Resources Queensland Centre for Advanced Technologies1 Technology CourtPullenvaleQLD4069Australia No.1 Institute of Geology and Mineral Resource Exploration of Shandong Province Jinan250010China College of New Energy and Environment Jilin UniversityChangchun130012China

The shear failure of intact rock under thermo-mechanical(TM)coupling conditions is common,such as in enhanced geothermal mining and deep mine *** the effect of a continuous engineering disturbance,shear-formed fractures are prone to secondary instability,posing a severe threat to deep *** numerous studies regarding three-dimensional(3D)morphologies of fracture surfaces have been conducted,the understanding of shear-formed fractures under TM coupling conditions is *** this study,direct shear tests of intact granite under various TM coupling conditions were conducted,followed by 3D laser scanning tests of shear-formed *** results demonstrated that the peak shear strength of intact granite is positively correlated with the normal stress,whereas it is negatively correlated with the *** internal friction angle and cohesion of intact granite significantly decrease with an increase in the *** anisotropy,roughness value,and height of the asperities on the fracture surfaces are reduced as the normal stress increases,whereas their variation trends are the opposite as the temperature *** macroscopic failure mode of intact granite under TM coupling conditions is dominated by mixed tensileeshear and shear *** the normal stress increases,intragranular fractures are developed ranging from a local to a global distribution,and the macroscopic failure mode of intact granite changes from mixed tensileeshear to shear ***,3D morphological characteristics of the asperities on the shear-formed fracture surfaces were analyzed,and a quadrangular pyramid conceptual model representing these asperities was proposed and sufficiently verified.

关键词： Thermo-mechanical(TM)coupling peak shear strength Three-dimensional(3D)morphological characterization Failure mode Quadrangular pyramid model

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Frozen sand-concrete interface direct shear behavior under constant normal load and constant normal height boundary

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年第11期23卷 917-932页

作者： Jian CHANG Jian-kun LIU Ya-li LI School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China School of Civil Engineering Sun Yat-sen UniversityZhuhai 519082China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China

The shear strength properties of the frozen sand–structure interface are critical for evaluating the serviceability of pile foundations in frozen *** shear characteristics of the frozen sand–concrete interface were studied with two boundary conditions(constant normal load(CNL)and constant normal height(CNH)),at three normal stresses(100,200,and 300 k Pa),and at three temperatures(-2,-5,and-8℃).A detailed comparative analysis was performed to explore the principal factors affecting the shear/normal-shear *** results showed that the shear behavior of the frozen sand–concrete interface under CNL was similar to that under *** shear stress–shear displacement exhibited strain *** temperature and normal stress were the major influences on normal *** lower the temperature and the higher the normal stress,the greater was the elastic shear *** peak shear stress and critical shear stress exhibited a dependence on normal *** exponential growth in the peak shear stress was observed as the temperature *** shear stress was dependent on *** value and percentage of peak ice-cementation in peak shear stress was affected by temperature and normal stress.

关键词： Frozen sand–concrete interface peak shear strength Critical shear strength Ice-cementation Boundary condition

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THE INFLUENCE OF shear DEFORMATION VELOCITY ON THE strength CHARACTERISTICS OF ROCK JOINTS

THE INFLUENCE OF SHEAR DEFORMATION VELOCITY ON THE STRENGTH ...

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中国科学院地质与地球物理研究所2015年度（第15届）学术年会

作者： B.W.Zheng S.W.Qi S.F.Guo X.L.Huang Key Laboratory of Shale Gas and Geoengineering Institute of Geology and GeophysicsChinese Academy of Sciences University of Chinese Academy of Sciences

The study of mechanical characteristics of rock discontinuities under different shear deformation velocities is an important premise of rock slope dynamic response *** to disposing and calculating the experimental results of previous research about peak shear strength of rock discontinuities under different shear deformation velocity of constant normal loading,the law of influence of shear velocity on the total friction angle is *** on the research results,it can be found that the total friction angle of rock joint specimens varies in the form of negative logarithm with the variation of shear deformation ***’s also indicated that the total friction angle of rock joints decreases with the increase of shear deformation velocity for rock joints of relative strong homogeneity and ***,the total friction angle of rock joints increases with the increase of shear deformation velocity for rock joints of relative strong heterogeneity and anisotropy and the latter amplitude of increase is less than the former amplitude of *** physical property and microscopic geometry of rock joints play an important effect on the increase or decrease tendency and amplitude variation of total friction angle with the increase of shear deformation velocity.

关键词： Rock joints shear deformation velocity peak shear strength Total friction angle

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