Search for circular and noncircular critical slip surfaces in slope stability analysis by hybrid genetic algorithm
来源期刊：中南大学学报(英文版)2014年第1期
论文作者：ZHU Jian-feng(朱剑锋) CHEN Chang-fu(陈昌富)
文章页码：387 - 397
Key words：slope; stability; genetic algorithm; tabu search algorithm; safety factor
Abstract: A local improvement procedure based on tabu search (TS) was incorporated into a basic genetic algorithm (GA) and a global optimal algorithm, i.e., hybrid genetic algorithm (HGA) approach was used to search the circular and noncircular slip surfaces associated with their minimum safety factors. The slope safety factors of circular and noncircular critical slip surfaces were calculated by the simplified Bishop method and an improved Morgenstern-Price method which can be conveniently programmed, respectively. Comparisons with other methods were made which indicate the high efficiency and accuracy of the HGA approach. The HGA approach was used to calculate one case example and the results demonstrated its applicability to practical engineering.
ZHU Jian-feng(朱剑锋)1, CHEN Chang-fu(陈昌富)2
(1. Faculty of Architectural Civil Engineering and Environment, Ningbo University, Ningbo 315211, China;
2. Institute of Geotechnical Engineering, Hunan University, Changsha 410082, China)
Abstract:A local improvement procedure based on tabu search (TS) was incorporated into a basic genetic algorithm (GA) and a global optimal algorithm, i.e., hybrid genetic algorithm (HGA) approach was used to search the circular and noncircular slip surfaces associated with their minimum safety factors. The slope safety factors of circular and noncircular critical slip surfaces were calculated by the simplified Bishop method and an improved Morgenstern-Price method which can be conveniently programmed, respectively. Comparisons with other methods were made which indicate the high efficiency and accuracy of the HGA approach. The HGA approach was used to calculate one case example and the results demonstrated its applicability to practical engineering.
Key words:slope; stability; genetic algorithm; tabu search algorithm; safety factor
