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Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm

Li, A. J., Khoo, S., Lyamin, A. V. and Wang, Y. 2016, Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm, Automation in construction, vol. 65, pp. 42-50, doi: 10.1016/j.autcon.2016.02.004.

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Title Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm
Author(s) Li, A. J.
Khoo, S.
Lyamin, A. V.
Wang, Y.
Journal name Automation in construction
Volume number 65
Start page 42
End page 50
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-05
ISSN 0926-5805
Keyword(s) factor of safety
decision-making
uncertainty
finite time
convergence
Summary The analysis of rock slope stability is a classical problem for geotechnical engineers. However, for practicing engineers, proper software is not usually user friendly, and additional resources capable of providing information useful for decision-making are required. This study developed a convenient tool that can provide a prompt assessment of rock slope stability. A nonlinear input-output mapping of the rock slope system was constructed using a neural network trained by an extreme learning algorithm. The training data was obtained by using finite element upper and lower bound limit analysis methods. The newly developed techniques in this study can either estimate the factor of safety for a rock slope or obtain the implicit parameters through back analyses. Back analysis parameter identification was performed using a terminal steepest descent algorithm based on the finite-time stability theory. This algorithm not only guarantees finite-time error convergence but also achieves exact zero convergence, unlike the conventional steepest descent algorithm in which the training error never reaches zero.
Language eng
DOI 10.1016/j.autcon.2016.02.004
Field of Research 090501 Civil Geotechnical Engineering
Socio Economic Objective 870201 Civil Construction Design
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Crown Copyright
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086111

Document type: Journal Article
Collection: School of Engineering
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Created: Tue, 13 Sep 2016, 12:30:30 EST

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