Chuangbing Zhou

TL;DR: In this paper, a multiple response-surface method for slope reliability analysis considering spatially variable soil properties is proposed and the effect of theoretical autocorrelation functions (ACFs) on slope reliability is highlighted since the theoretical ACFs are often used to characterize the spatial variability of soil properties.

TL;DR: In this paper, a non-intrusive stochastic finite element method for slope reliability analysis considering spatially variable shear strength parameters is proposed, which does not require the user to modify existing deterministic finite element codes, which provides a practical tool for analyzing slope reliability problems that require complex finite element analysis.

TL;DR: In this paper, a stochastic response surface method for reliability analysis involving correlated non-normal random variables, in which the Nataf transformation is adopted to effectively transform the correlated nonnormal variables into independent standard normal variables, is presented.

TL;DR: In this paper, a Monte Carlo simulation (MCS) based approach for efficient evaluation of the system failure probability P f, s of slope stability in spatially variable soils is presented.

TL;DR: The asymmetric and unsupervised FC-SAE can extract optimal non-linear features from environmental factors successfully, outperforms some conventional machine learning methods, and is promising for LSP.