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A Practical Indirect Back Analysis Approach for Geomechanical Parameters Identification
Back analysis is a powerful tool to determine geomechanical parameters. In this article, a practical approach that employs the response surface method and MS Excel solver for back analysis is presented. The least square support vector machine (LSSVM)-based response surface is utilized to represent the nonlinear relationship between the geomechanical parameters and the monitored information and Excel solver is used to search the geomechanical parameters based on the monitoring information. We analyze the robustness and search ability of the proposed approach. On the other hand, two numerical cases on a circular tunnel and a slope are used to verify the proposed approach. Results clearly indicate that LSSVM-based response surface is effectively able to be used to identify the geomechanical parameters from the monitoring displacements.
A Practical Indirect Back Analysis Approach for Geomechanical Parameters Identification
Back analysis is a powerful tool to determine geomechanical parameters. In this article, a practical approach that employs the response surface method and MS Excel solver for back analysis is presented. The least square support vector machine (LSSVM)-based response surface is utilized to represent the nonlinear relationship between the geomechanical parameters and the monitored information and Excel solver is used to search the geomechanical parameters based on the monitoring information. We analyze the robustness and search ability of the proposed approach. On the other hand, two numerical cases on a circular tunnel and a slope are used to verify the proposed approach. Results clearly indicate that LSSVM-based response surface is effectively able to be used to identify the geomechanical parameters from the monitoring displacements.
A Practical Indirect Back Analysis Approach for Geomechanical Parameters Identification
Zhao, Hongbo (Autor:in) / Ru, Zhongliang (Autor:in) / Yin, Shunde (Autor:in)
Marine Georesources & Geotechnology ; 33 ; 212-221
04.05.2015
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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