可靠性(半导体)
土壤水分
变量(数学)
环境科学
可靠性工程
状态变量
国家(计算机科学)
计算机科学
计量经济学
岩土工程
地质学
工程类
数学
土壤科学
算法
数学分析
物理
功率(物理)
热力学
量子力学
作者
Shui‐Hua Jiang,Jinsong Huang,D. V. Griffiths,Zhiping Deng
标识
DOI:10.1016/j.compgeo.2021.104498
摘要
Spatial variability of soil properties was rarely taken into account directly in traditional slope stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to act across the whole region of interest. In the last two decades, a large portion of published research papers on slope stability have tried to explicitly model the spatial variability of soil properties. In the first decade, research mainly focused on showing the importance of modeling the spatial variability directly in probabilistic slope stability analysis. In the last decade, a rapid development was observed including quantitative risk assessment of slope failure, improving computational efficiency, and directly using site investigation and field monitoring data. This review tries to summarize these advances in the hope that future research directions can be identified.
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