Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method

By Shui-Hua Jiang, Dianqing Li, Li-min Zhang, Chuangbing Zhou. 2014

427 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2d5d47ab4f8a286cd73c0615c3701124b6888306

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Safety, Risk, Reliability and Quality

In Statistics and Probability

Citations in the corpus

Slope stability analysis based on the Coupled Eulerian-Lagrangian finite element method (2018, methodology): “In the previous FEM based slope stability methods (Chen et al. 2005; Li et al. 2009; Huang and Jia 2009; Maula and Zhang 2011; Conte et al. 2010; Srivastava et al. 2010; Chen et al. 2014; Jiang et al. 2014; Lim et al. 2015; Luo et al. 2016; Gao et al. 2018; Qi and Li 2018; Tu et al. 2016), the tradi”
Response surface methods for slope reliability analysis: Review and comparison (2016, methodology): “Subsequently, the Type I problem has been extensively investigated (e.g., Zhao, 2008; Samui et al., 2011, 2013; Zhang et al., 2011a; Luo et al., 2012a,b; Piliounis and Lagaros, 2014) using different RSMs, such as SVM-based RSM, RVM-based RSM, quadratic polynomial without cross terms, Kriging-based R”
Characterization of uncertainty in probabilistic model using bootstrap method and its application to reliability of piles (2015, background): “…engineering literature is replete with correlations between two engineering parameters, such as cohesion and friction angle of soils [1] [2] [3], two hyperbolic curve-fitting parameters underlying load-settlement curves of piles [4], and curve-fitting parameters of a soil–water…”
A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (2015, methodology): “As reported in the literature (Jaksa, 1995; Fenton and Griffiths, 2003; Kasama et al., 2012; Wu et al., 2012; Ji, 2014; Jiang et al., 2014b,c; Salgado and Kim, 2014), the soil properties in a statistically homogeneous soil layer are considered to be weakly stationary random fields.”