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Application of neural network to rock slope stability assessments

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posted on 2014-01-01, 00:00 authored by An-Jui Li, Sui Yang KhooSui Yang Khoo, Ying Wang, A V Lyamin
It is known that rock masses are inhomogeneous, discontinuous media composed of rock material and naturally occurring discontinuities such as joints, fractures and bedding planes. These features make any analysis very difficult using simple theoretical solutions. Generally speaking, back analysis technique can be used to capture some implicit parameters for geotechnical problems. In order to perform back analyses, the procedure of trial and error is generally required. However, it would be time-consuming. This study aims at applying a neural network to do the back analysis for rock slope failures. The neural network tool will be trained by using the solutions of finite element upper and lower bound limit analysis methods. Therefore, the uncertain parameter can be obtained, particularly for rock mass disturbance. © 2014 Taylor & Francis Group.

History

Title of book

Numerical methods in geotechnical engineering

Volume

1

Chapter number

79

Pagination

473 - 478

Publisher

Taylor and Francis

Place of publication

London, England

ISBN-13

9781138001466

Language

eng

Publication classification

B Book chapter; B1 Book chapter

Copyright notice

2014, Taylor and Francis

Extent

117

Editor/Contributor(s)

M Hicks, R Brinkgreve, A Rohe

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