2012•Journal of Lanzhou Jiaotong UniversityRequires access

Stability Study of Slope Based on Fuzzy Probability

Xiaolian Li

Abstract

The slope stability is affected by a variety of randomness and fuzziness factors.To combine the fuzzy mathematics and probabilistic reliability analysis method,and form the fuzzy state function which evaluates the slope stability,the Monte-Carlo simulation method is used to solve multi-variable joint probability density function.It simulates the fuzzy probability which changes with various conditions of natural slope stability by case studies.The calculation results show that the fuzzy probabilistic method can reasonably reflect the actual stability of the slope.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Randomness, Fuzzy logic, Stability (learning theory), Mathematics, Probabilistic logic, Probability density function, Slope stability, Reliability (semiconductor)