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Published (Version of record)CC BY V3.0, Open Access
Published (Version of record)CC BY V3.0, Open
Journal article
A Copula-Based Method for Estimating Shear Strength Parameters of Rock Mass
Mathematical problems in engineering, Vol.2014(1), pp.1-11
2014
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Abstract
The shear strength parameters (i.e., the internal friction coefficient f and cohesion c) are very important in rock engineering, especially for the stability analysis and reinforcement design of slopes and underground caverns. In this paper, a probabilistic method, Copula-based method, is proposed for estimating the shear strength parameters of rock mass. The optimal Copula functions between rock mass quality Q and f, Q and c for the marbles are established based on the correlation analyses of the results of 12 sets of in situ tests in the exploration adits of Jinping I-Stage Hydropower Station. Although the Copula functions are derived from the in situ tests for the marbles, they can be extended to be applied to other types of rock mass with similar geological and mechanical properties. For another 9 sets of in situ tests as an extensional application, by comparison with the results from Hoek-Brown criterion, the estimated values of f and c from the Copula-based method achieve better accuracy. Therefore, the proposed Copula-based method is an effective tool in estimating rock strength parameters.
Details
- Title
- A Copula-Based Method for Estimating Shear Strength Parameters of Rock Mass
- Creators
- Da Huang - Chongqing UniversityChao Yang - Chongqing UniversityBin Zeng - Chongqing UniversityGuoyang Fu - The University of Western Australia
- Publication Details
- Mathematical problems in engineering, Vol.2014(1), pp.1-11
- Publisher
- Hindawi Publishing Group
- Grant note
- This study is supported by the National Natural Science Foundation of China (41172243 and 41472245) and the Fundamental Research Funds for the Central Universities (CDJZR12205501 and 106112014CDJZR200009).
- Identifiers
- 991013291154102368
- Copyright
- © 2014 Da Huang et al.
- Academic Unit
- Faculty of Science and Engineering; Engineering
- Language
- English
- Resource Type
- Journal article