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- Title
Reliability Analysis of Infinite Slope Using Metamodels.
- Authors
Kumar, Rahul; Samui, Pijush; Kumari, Sunita
- Abstract
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.
- Subjects
SLOPE stability; GAUSSIAN processes; RELIABILITY in engineering; FAILURE analysis; FUZZY systems
- Publication
Geotechnical & Geological Engineering, 2017, Vol 35, Issue 3, p1221
- ISSN
0960-3182
- Publication type
Article
- DOI
10.1007/s10706-017-0160-9