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 |
关键词 | Marble Laboratory triaxial compression test Shear strength Maximum entropy method Probabilistic analysis |
ISSN号 | 0886-7798 |
DOI | 10.1016/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 |
WOS记录号 | WOS:000631333700002 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。