Reliability Analysis of Quick Sand Condition

pijush Samui; Pradeep Kurup; S. Dhivya

首页> 外文期刊>Geotechnical and geological engineering >Reliability Analysis of Quick Sand Condition

【24h】

Reliability Analysis of Quick Sand Condition

机译：Reliability Analysis of Quick Sand Condition

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

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.

著录项

来源
《Geotechnical and geological engineering》 |2016年第2期|579-584|共6页
作者
pijush Samui; Pradeep Kurup; S. Dhivya;
展开▼
作者单位

Department of Civil Engineering, NIT Patna, Bihar, India;

Department of Civil and Environmental Engineering, University of Massachusetts Lowell, 1 University Ave., Lowell, MA 01854, USA;

Centre for Disaster Mitigation and Management, VIT University, Vellore 632014, India;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类地质学;
关键词
Quick sand; First order reliability method; Generalized regression neural network; Gaussian process regression; Multivariate adaptive regression spline;

Reliability Analysis of Quick Sand Condition

摘要

著录项

相关主题

期刊订阅