Genetic Algorithm for Searching for Critical Slip Surface in Gravity Dams Based on Stress Fields

Jian Yun Chen; Shu Wang; Qiang Xu; Jing Li

doi:10.4028/www.scientific.net/AMR.790.146

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 790Genetic Algorithm for Searching for Critical Slip...

Genetic Algorithm for Searching for Critical Slip Surface in Gravity Dams Based on Stress Fields

Abstract:

Currently, the safety evaluation of gravity dam concentrates on stress and anti-sliding stability of the dam. A lot of research shows that the upper area of the dam is one of the whole dams weakest areas during an earthquake and should be studied in details. In this study, the genetic algorithm and non-linear FEM analysis are combined, then a search program is written to search the critical slip surface in the dams upper area. Finally, the surface which has the least anti-sliding stability coefficient is obtained, the most dangerous slip surface and its anti-sliding coefficient as well as the corresponding time are acquired to evaluate the safety of the dam.

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Periodical:

Advanced Materials Research (Volume 790)

Pages:

146-149

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.790.146

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Online since:

September 2013

Authors:

Jian Yun Chen, Shu Wang, Qiang Xu, Jing Li

Keywords:

Earthquake, Genetic Algorithm (GA), Safety, Search, Sliding Surface

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