工程地质学报2011，Vol.19Issue(2)：181-186,6.
引入退火机制的智能单粒子算法在复杂边坡最危险滑动面搜索中的应用
APPLICATION OF INTELLIGENT SINGLE PARTICLE OPTIMIZER WITH SIMULATED ANNEALING MECHANISM TO SEARCHING FOR CRITICAL SLIP SURFACE OF COMPLEX SLOPE
张明瑞 1陈征宙 1刘裕华 1曹东方 1吴强1
作者信息
- 1. 南京大学地球科学与工程学院,南京,210093
- 折叠
摘要
Abstract
More than one local minimum of the factor of safety can be encountered in stability analysis of complex slopes. So, how to obtain minimal factor of safety remains a significant issue in stability analysis of complex slopes.Based on simplified Bishop method, a new heuristic global optimization algorithm called Intelligent Single Particle Optimizer (ISPO) is proposed to search for the critical slip surface of complex slope in this paper. The simulated annealing mechanism is considered so as to help ISPO to escape from local minimums quickly. The ISPO with simulated annealing (SA) mechanism combines the merits of the two algorithms. The proposed algorithm is applied to searching for the critical slip surfaces of two complex slopes in the paper. Comparing with other methods, the results demonstrate that the combined SA-ISPO algorithm has sufficient calculating precision and stability, as well as high searching efficiency. And also the SA-ISPO has efficient global searching ability because the result is independent of searching range.关键词
边坡工程/简化Bishop法/智能单粒子算法/模拟退火算法/最小安全系数Key words
Slope engineering/ Simplified Bishop method/ Intelligent single particle optimizer/ Simulated annealing method/ Minimal factor of safety分类
天文与地球科学引用本文复制引用
张明瑞,陈征宙,刘裕华,曹东方,吴强..引入退火机制的智能单粒子算法在复杂边坡最危险滑动面搜索中的应用[J].工程地质学报,2011,19(2):181-186,6.
