Inversion of Critical Slip Surface Parameters for a Landslide Disaster Using the Bionics Algorithm
Publication: International Journal of Geomechanics
Volume 16, Issue 5
Abstract
Two key issues in landslide forecasting are finding the critical slip surface and determining its parameters. Generally, these issues are two parts of one problem. To solve this problem, a new two-phase search method is proposed: a newly proposed inversion method to determine the critical slip surface parameters, using a new bionics algorithm (i.e., particle swarm optimization), and based on the measured slip surface and the critical slip surface-searching process. The proposed method is verified by using two typical numerical examples used by the Association for Computer Aided Design (Australia) and an engineering example of a highway landslide. The results indicate that when the search over a critical slip surface and the inversion of its parameters are performed simultaneously, the calculated factor of safety is in good agreement with that of the actual scenario, whereas the factor of safety computed on the basis of known parameters of a slide body will deviate from that of the physical scenario.
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Acknowledgments
Financial support from the Fundamental Research Funds for the Central Universities from Grants 2014B17814, 2014B04914, and 2014B07014 are gratefully acknowledged.
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Published In
International Journal of Geomechanics
Volume 16 • Issue 5 • October 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: May 20, 2014
Accepted: Jun 10, 2015
Published online: Jan 28, 2016
Discussion open until: Jun 28, 2016
Published in print: Oct 1, 2016
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