中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Probabilistic analysis of shear strength of intact rock in triaxial compression: a case study of Jinping II project

文献类型:期刊论文

作者Deng, Jian2; Li, Shaojun1; Jiang, Quan1; Chen, Bingrui1
刊名TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
出版日期2021-05-01
卷号111页码:13
ISSN号0886-7798
关键词Marble Laboratory triaxial compression test Shear strength Maximum entropy method Probabilistic analysis
DOI10.1016/j.tust.2021.103833
英文摘要Triaxial compression testing can yield realistic simulations of in-situ rock properties in underground excavation. This paper presents laboratory triaxial compression tests for marble from Jinping II hydropower station project, southwestern China. The test results were used to determine shear strength parameters (i.e., angles of internal friction and cohesive strengths) of the marble. Prominent uncertainties were found among the shear strength parameters. Modelling and quantifying these uncertainties in rock properties are initial, critical steps in prob-abilistic analysis and design of rock engineering. However, disagreement exists among researchers about which probability distribution should be used to characterize the rock angle of internal friction and the cohesive strength. This paper proposes an alternative universal form of probability distributions for these shear strength parameters, i.e., maximum entropy probability density functions. The entropy distributions are obtained from maximum entropy method, a combination of maximum entropy principle and a second order Akaike information criterion. The maximum entropy principle is used to determine a probability density function that maximizes Shannon?s entropy subjected to constraints in terms of sample integral moments. The second order Akaike in-formation criterion can provide strong consistent and unbiased estimate for Kullback-Leibler entropy, and thus the most unbiased and objective probability density distribution with optimum order can be determined from an available sample. Kolmogorov-Smirnov test is used to establish the maximum entropy probability distributions, which are compared with conventional normal and lognormal probability distributions to illustrate the advantages.
资助项目Natural Sciences and Engineering Research Council of Canada ; National Natural Science Foundation of China[U1765206] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z019001]
WOS研究方向Construction & Building Technology ; Engineering
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000631333700002
源URL[http://119.78.100.198/handle/2S6PX9GI/25882]  
专题中科院武汉岩土力学所
通讯作者Deng, Jian
作者单位1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
2.Lakehead Univ, Dept Civil Engn, Thunder Bay, ON P7B 5E1, Canada
推荐引用方式
GB/T 7714
Deng, Jian,Li, Shaojun,Jiang, Quan,et al. Probabilistic analysis of shear strength of intact rock in triaxial compression: a case study of Jinping II project[J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,2021,111:13.
APA Deng, Jian,Li, Shaojun,Jiang, Quan,&Chen, Bingrui.(2021).Probabilistic analysis of shear strength of intact rock in triaxial compression: a case study of Jinping II project.TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,111,13.
MLA Deng, Jian,et al."Probabilistic analysis of shear strength of intact rock in triaxial compression: a case study of Jinping II project".TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 111(2021):13.

入库方式: OAI收割

来源:武汉岩土力学研究所

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