教与学算法在复杂边坡临界滑动面搜索中的应用  

Application of Teaching-Learning-Based Optimization Algorithm in the Searching Critical Slip Surface of Complex Slope

作　　者：吴剑平 汪东林 WU Jianping;WANG Donglin(School of Civil Engineering,Anhui Jianzhu Univ.,Hefei 230601,China)

机构地区：[1]安徽建筑大学土木工程学院,合肥230601

出　　处：《三峡大学学报（自然科学版）》2023年第1期28-33,共6页Journal of China Three Gorges University：Natural Sciences

基　　金：国家自然科学基金(51904006);安徽省自然科学基金(2108085ME192)。

摘　　要：在边坡稳定性分析中,临界滑动面的确定是评估边坡稳定性的关键问题.本文引入一种新型智能优化算法--教与学算法(TLBO),并结合以简化Bishop法为基础的滑动面安全系数计算模型,实现对复杂边坡临界滑动面的有效捕捉.借助Matlab软件编写算法程序,完成对4道经典算例的计算分析.结果表明:教与学算法具有良好的全局优化性能,能够快速有效地搜索出复杂边坡的最危险滑动面.In the slope stability analysis,the determination of the critical sliding surface is a key problem to evaluate the slope stability.This paper introduces a new intelligent optimization algorithm--teaching-learning-based optimization algorithm,which is combined with the simplified Bishop method to effectively capture the critical sliding surface of a complex slope.The algorithm is coded by Matlab software and applied to calculate four classical slope stability cases.The results show that the algorithm has good global optimization performance,and can quickly and effectively search out the most dangerous sliding surface of the complex slope.

关 键 词：边坡稳定 滑动面搜索 教与学算法 简化BISHOP法 

分 类 号：TU470[建筑科学—结构工程]