Copula-based approaches for evaluating slope reliability under incomplete probability information

By Xiao-Song Tang, Dianqing Li, Chuangbing Zhou, Kok-Kwang Phoon. 2015

203 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/1ec753284fd387790dc29e155b7c4fc025cfbc40

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In Civil and Structural Engineering

In Safety, Risk, Reliability and Quality

In Statistics and Probability

Citations in the corpus

A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (2015, background): “It is challenging to identify detailed underground stratigraphy information with limited site data in geotechnical practice (Cao and Wang, 2014; Tang et al., 2015).”
Bayesian identification of random field model using indirect test data (2016, methodology): “Copula theory provides a rational tool to construct multivariate distributions according to multivariate data (e.g., McNeil et al., 2005; Nelsen, 2006; Au and Wang, 2014; Li et al., 2015b; Tang et al., 2015).”
Characterization of uncertainty in probabilistic model using bootstrap method and its application to reliability of piles (2015, background): “, [10,11]) has been received increasing attention in geotechnical engineering for constructing the joint CDF or PDF of multivariate data, particularly bivariate data [12–19].”
Impact of sample size on geotechnical probabilistic model identification (2017, background): “For example, the negative correlation between cohesion and friction angle of soils and rocks is studied using copulas [29,30,18,33,36].”
Response surface methods for slope reliability analysis: Review and comparison (2016, unknown): “, Cho, 2009; Low, 2014), and Monte Carlo Simulation (MCS) (e.g., El-Ramly et al., 2002, 2005; Griffiths and Fenton, 2004; Hsu and Nelson, 2006; Cho, 2007, 2010; Huang et al., 2010, 2013; Tang et al., 2015; Li et al., 2015c) and its advanced variants (e.”