Study on Instability Probability of Xiaya River Slope Based on Monte-Carlo Method

DOI

10.2991/icmse-18.2018.97How to use a DOI?

Keywords

Monte-Carlo method; Java language; Bishop method; landslide unstable; Probability

Abstract

Rainfall reduces the possibility of increasing landslide instability. In order to study the stability of landslides with multi-stage sliding surface under rainfall conditions, this paper studies the physical and mechanical properties of soils with different moisture contents through direct shear tests of unsaturated soils And then analyze the safety factor and the probability of instability under multi-stage landslide. However, the traditional methods for analyzing the stability of landslides are relatively definite and have certain limitations, and the uncertainties of landslides are not fully considered. Therefore, this paper takes Xiaya River landslide in Baoji City, Shaanxi Province as an example, and uses Monte-Carlo simulation method and Bishop method to analyze the safety factor and the probability of instability of the landslide under different moisture contents.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sijia Deng
AU  - Yadie Chen
AU  - Jingfeng Hou
AU  - Jianhua Feng
AU  - Yalan Yang
AU  - Xin WU
PY  - 2018/05
DA  - 2018/05
TI  - Study on Instability Probability of Xiaya River Slope Based on Monte-Carlo Method
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 526
EP  - 531
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.97
DO  - 10.2991/icmse-18.2018.97
ID  - Deng2018/05
ER  -