承载力
随机场
岩土工程
随机变量
概率逻辑
蒙特卡罗方法
空间变异性
领域(数学)
方位(导航)
变量(数学)
地质学
结构工程
随机过程
随机建模
浅基础
抗剪强度(土壤)
随机模拟
工程类
空间分析
分布(数学)
剪切(地质)
算法的概率分析
空间相关性
概率分布
概率密度函数
计算机模拟
作者
Shangchuan Yang,Ben Leshchinsky,Yongxin Wu,Yizhen Guo,Kai Cui,Zi-Jun Cao
标识
DOI:10.1139/cgj-2025-0487
摘要
Soil strength exhibits natural spatial variability, which obscures the stochastic link between failure mechanisms and bearing capacity. This study establishes an analytical framework that couples multiple kinematically admissible mechanisms with random field theory to quantify the undrained bearing capacity of footings on soil with spatially variable undrained strength. The analytical solutions show good agreement with numerical simulations in evaluating the undrained bearing capacity. Subsequently, the influence of spatial variability in undrained shear strength on the statistics of bearing capacity was investigated, providing insight towards the distribution of critical failure mechanisms. Furthermore, this study introduces a failure frequency map representing the spatial distribution of failure possibility, which can serve as a diagnostic tool to guide ground improvement from a random field perspective. Overall, the analytical model offers direct insights towards critical failure mechanisms and their associated influence on bearing capacity under random field conditions, while still retaining the fidelity of probabilistic analyses involving extensive Monte Carlo simulations.
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