Reliability Analysis of Infinite Slope Using Metamodels

被引：11

作者：

Kumar R. ^{[1
]}

Samui P. ^{[1
]}

Kumari S. ^{[1
]}

机构：

[1] National Institute of Technology Patna, Patna

来源：

Samui, Pijush (pijush.phd@gmail.com) | 1600年 / Springer International Publishing卷 / 35期

关键词：

Failure; Gaussian process regression; Infinite slope; Metamodel; Multivariate adaptive regression spline; Reliability;

D O I：

10.1007/s10706-017-0160-9

中图分类号：

学科分类号：

摘要：

Reliability analysis is an important work to determine the stability of an infinite slope. In this study, four metamodels (Adaptive Neuro Fuzzy Inference System, Gaussian Process Regression, Multivariate Adaptive Regression Spline and Generalized Regression Neural Network) based on First Order Second Moment Method (FOSM) has been used to determination of reliability index (β) of an infinite slope. An example has been taken to show the working procedure of the adopted techniques. The results shows the developed models overcome the limitations of the FOSM. A comparative study has been done between the developed models. © 2017, Springer International Publishing Switzerland.

引用

页码：1221 / 1230

页数：9

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