Li, Yu-Chao, Chen, Yun-Min, Zhan, Tony L.T., Ling, Dao-Sheng and Cleall, Peter John  ORCID: https://orcid.org/0000-0002-4005-5319
2010.
An efficient approach for locating the critical slip surface in slope stability analyses using a real-coded genetic algorithm.
Canadian Geotechnical Journal
47
(7)
, pp. 806-820.
10.1139/T09-124
|
Abstract
A real-coded genetic algorithm is employed to develop a search approach for locating the noncircular critical slip surface in slope stability analyses. Limit equilibrium methods and the finite-element-based method are incorporated with the proposed search approach to calculate the factor of safety. Geometrical and kinematical compatibility constraints are established based on the features of slope problems to prevent slip surfaces from being unreasonable. A dynamic bound technique is presented to improve the search performance with more effective exploration within the solution domain. A number of examples are investigated that demonstrate the proposed search approach to be efficient in yielding accurate solutions to practical slope stability problems. The proposed search approach is stable and highly correlated with the results of independent analyses. Furthermore, this paper demonstrates the successful application of a real-coded genetic algorithm to noncircular critical slip surface search problems.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Engineering |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Uncontrolled Keywords: | genetic algorithm, critical slip surface, slope stability analysis, factor of safety |
| Publisher: | NRC Research Press |
| ISSN: | 0008-3674 |
| Last Modified: | 21 Oct 2022 09:32 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/36791 |
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