概率逻辑
算法的概率分析
边坡稳定性
边坡稳定性分析
理论(学习稳定性)
随机变量
有限元法
抗剪强度(土壤)
岩土工程
随机场
结构工程
简单(哲学)
数学
概率论
概率密度函数
工程类
计算机科学
地质学
统计
机器学习
认识论
哲学
土壤科学
土壤水分
作者
D. V. Griffiths,Gordon A. Fenton
出处
期刊:Journal of Geotechnical and Geoenvironmental Engineering
[American Society of Civil Engineers]
日期:2004-04-19
卷期号:130 (5): 507-518
被引量:897
标识
DOI:10.1061/(asce)1090-0241(2004)130:5(507)
摘要
In this paper we investigate the probability of failure of a cohesive slope using both simple and more advanced probabilistic analysis tools. The influence of local averaging on the probability of failure of a test problem is thoroughly investigated. In the simple approach, classical slope stability analysis techniques are used, and the shear strength is treated as a single random variable. The advanced method, called the random finite-element method (RFEM), uses elastoplasticity combined with random field theory. The RFEM method is shown to offer many advantages over traditional probabilistic slope stability techniques, because it enables slope failure to develop naturally by “seeking out” the most critical mechanism. Of particular importance in this work is the conclusion that simplified probabilistic analysis, in which spatial variability is ignored by assuming perfect correlation, can lead to unconservative estimates of the probability of failure. This contradicts the findings of other investigators who used classical slope stability analysis tools.
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