Uncertainty Analysis of Rock Strength Based on Mohr-Coulomb Criterion
Due to uncertainties of the input parameters, such as the maximum principal stress, the minimum principal stress, the cohesion and the internal friction angle, the evaluation of the rock strength becomes the uncertainty problem. In such case, the uncertainty analysis method was proposed to deal with the uncertainty of the rock strength based on Mohr-Coulomb criterion. To describe the properties of the random variables, the indoor experiment was performed to obtain the mean and the standard deviation of the input parameters. Furthermore, the random technique was introduced to yield the sample data based on the mean and the standard deviation. More importantly, the factor of safety (FOS) was defined to evaluate the rock strength based on Mohr-coulomb criterion. Meanwhile, Monte Carlo method was introduced to the probability of the factor of safety. The results show that FOS has a range of [0.6, 1.4], and shows an obvious normal distribution.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811506437
-
Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
-
Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Ma, Yongfeng
- Yu, Rangang
-
Conference:
- 9th International Conference on Green Intelligent Transportation Systems and Safety
- Location: Guilin , China
- Date: 2018-7-1 to 2018-7-3
- Publication Date: 2020-3
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1423-1430
- Monograph Title: Green, Smart and Connected Transportation Systems: Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety
-
Serial:
- Lecture Notes in Electrical Engineering
- Volume: 617
- Publisher: Springer
- ISSN: 1876-1100
Subject/Index Terms
- TRT Terms: Monte Carlo method; Rocks; Safety factors; Strength of materials; Uncertainty
- Subject Areas: Geotechnology; Highways;
Filing Info
- Accession Number: 01899667
- Record Type: Publication
- ISBN: 9789811506437
- Files: TRIS
- Created Date: Nov 17 2023 11:25AM