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Reliability Analysis of Infinite Slope Using Metamodels

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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.

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Authors and Affiliations

  1. National Institute of Technology Patna, Patna, 800005, India

    Rahul Kumar, Pijush Samui & Sunita Kumari

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  1. Rahul Kumar
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  2. Pijush Samui
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  3. Sunita Kumari
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Correspondence to Pijush Samui.

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Kumar, R., Samui, P. & Kumari, S. Reliability Analysis of Infinite Slope Using Metamodels. Geotech Geol Eng 35, 1221–1230 (2017). https://doi.org/10.1007/s10706-017-0160-9

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  • DOI: https://doi.org/10.1007/s10706-017-0160-9

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