Probabilistic Analysis of Soil-Water Characteristic Curves
By Kok-Kwang Phoon, A. Santoso, S. Quek. 2010
118 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/19ba2a7fde4989af80c9a6a1993fce5635c95530
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In Civil and Structural Engineering
In Environmental Engineering
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Citations in the corpus
- Impact of sample size on geotechnical probabilistic model identification (2017, background): “The two curve-fitting parameters in a loadsettlement curve of piles [9,16,17,12], and curve-fitting parameters in a soil-water characteristic curve [26] also have a strongly negative correlation.”
- Characterization of uncertainty in probabilistic model using bootstrap method and its application to reliability of piles (2015, background): “The geotechnical engineering literature is replete with correlations between two engineering parameters, such as cohesion and friction angle of soils [1–3], two hyperbolic curve-fitting parameters underlying load-settlement curves of piles [4], and curve-fitting parameters of a soil–water characteri”
- Impact of copulas for modeling bivariate distributions on system reliability (2013, background): “The reliability results associated with the Gaussian copula are highlighted because the Gaussian copula is commonly used to describe the dependence structure among variables in practice when the available data are not enough to select one copula among a set of candidate copulas [ 6 , 15 ].”
- Bivariate simulation using copula and its application to probabilistic pile settlement analysis (2013, background): “INTRODUCTION The geotechnical engineering literature is replete with correlations between two engineering parameters, for example, undrained shear strength and cone tip resistance, negative correlation between cohesion and friction angle [1,2], two hyperbolic curve-fitting parameters underlying load”
- Quantification of uncertainties in soil-water characteristic curve associated with fitting parameters (2013, methodology): “…and Xing's (1994) equation with correction factor C(ψ) = 1, which was suggested by Leong and Rahardjo (1997), as Method B. Mishra et al. (1989) and Phoon et al. (2010) indicated that a first-order error analysis was a reasonable approximation for estimation of uncertainty in a predictive model…”
- Copula-based approaches for evaluating slope reliability under incomplete probability information (2015, unknown): “Notwithstanding this, as noted by Dutfoy and Lebrun [9], multivariate data are usually independent by blocks in real-life applications, each block involving only a small number of correlated variables such as two variables [13,30,38,32–34,18,19].”
- Improved knowledge-based clustered partitioning approach and its application to slope reliability analysis (2012, background): “Furthermore, these parameters usually follow non-normal distributions [2,33,17,19].”