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- Title
Reliability Analysis of Quick Sand Condition.
- Authors
Samui, Pijush; Kurup, Pradeep; Dhivya, S.; Jagan, J.
- 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.
- Subjects
QUICKSAND; ARTIFICIAL neural networks; GAUSSIAN processes
- Publication
Geotechnical & Geological Engineering, 2016, Vol 34, Issue 2, p579
- ISSN
0960-3182
- Publication type
Article
- DOI
10.1007/s10706-015-9967-4