Comparison of different probabilistic methods for predicting stability of a slope in spatially variable c–φ soil
By R. Suchomel. 2010
149 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Management, Monitoring, Policy and Law, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/64e01b607950c165a49463e342a903fe6ed72d90
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
- Dianqing Li
- Kok-Kwang Phoon
- Xiao-Song Tang
- Z. Cao
- Li-min Zhang
- Chuangbing Zhou
- Shui-Hua Jiang
- Dong Zheng
In Management, Monitoring, Policy and Law
- Dianqing Li
- Xiao-Song Tang
- Z. Cao
- Chuangbing Zhou
- Li-min Zhang
- Shui-Hua Jiang
- Kok-Kwang Phoon
- Wei Zhou
In Safety, Risk, Reliability and Quality
- Dianqing Li
- Kok-Kwang Phoon
- Xiao-Song Tang
- Z. Cao
- Chuangbing Zhou
- Li-min Zhang
- Shui-Hua Jiang
- Dong Zheng
Citations in the corpus
- A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (2015, methodology): “In the literature (Haldar and Sivakumar Babu, 2009; Srivastava et al., 2010; Suchomel and Mašin, 2010; Kasama et al., 2012; Wu et al., 2012), the Cholesky decomposition technique has been widely used to discretize random fields of soil properties because it is conceptually simple and easily…”
- Response surface methods for slope reliability analysis: Review and comparison (2016, methodology): “Many reliability methods have been proposed for slope reliability analysis in literature, such as the first-order second moment method (FOSM) (e.g., Christian et al., 1994; Hassan and Wolff, 1999; Duncan, 2000; Xue and Gavin, 2007; Suchomel and Mašin, 2010), first-order reliability method (FORM) (e.”