床
强度折减
边坡稳定性
岩体分类
可靠性(半导体)
安全系数
床上用品
抗剪强度(土壤)
平面的
理论(学习稳定性)
边坡稳定性分析
安全系数
岩土工程
地质强度指标
山崩
平面(几何)
地质学
结构工程
计算机科学
数学
几何学
工程类
土壤科学
各向异性
物理
机器学习
量子力学
有限元法
园艺
计算机图形学(图像)
土壤水分
功率(物理)
生物
作者
Limin Chen,Wengang Zhang,Xue-cheng Gao,Lin Wang,Zhenghong Li,Thomas Böhlke,Umberto Perego
标识
DOI:10.1080/17499518.2020.1815215
摘要
Bi-planar sliding is one of main instabilities for bedding rock slope and is mainly dominated by the geometrical and strength properties of the weak structural plane. Traditional stability evaluation combines limit equilibrium method (LEM) with shear strength reduction (SSR) to derive the deterministic safety factor against slope stability. However, considering the uncertainties inherent in the geometrical and strength properties of the weak structural plane, as well as the variations of rock mass properties, the safety factor of rock bedding slopes against bi-planar sliding cannot be deterministically calculated. This study proposes a framework for probabilistic assessment on rock bedding slope stability against bi-planar sliding. Surrogate model for factor of safety against bi-planar sliding from LEM and SSR is developed based on back-propagation neural network (BPNN). The BPNN model, together with the design variables is implemented into the Excel Spreadsheet First-Order Reliability Method for the reliability assessment.
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