Reliability Analysis of Quick Sand Condition |
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| Authors: | Pijush Samui Pradeep Kurup S Dhivya J Jagan |
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| Institution: | 1.Department of Civil Engineering,NIT Patna,Bihar,India;2.Department of Civil and Environmental Engineering,University of Massachusetts Lowell,Lowell,USA;3.Centre for Disaster Mitigation and Management,VIT University,Vellore,India |
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| Abstract: | First order reliability method (FORM) is generally used for reliability analysis in geotechnical engineering. This article adopts generalized regression neural network (GRNN) based FORM, Gaussian process regression (GPR) based FORM and multivariate adaptive regression spline (MARS) based FORM for reliability analysis of quick sand condition. GRNN is related to the radial basis function (RBF) network. GPR is developed based on probabilistic framework. MARS is a nonparametric regression technique. A comparative study has been carried out between the developed models. The performance of GPR based FORM and MARS based FORM match well with the FORM. This article gives the alternative methods for reliability analysis of quick sand condition. |
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