混沌优化算法在土质边坡稳定性分析中的应用

确定边坡最危险滑动面并计算与之相对应的安全系数是边坡支护的重要任务。本文结合简化Bishop法，用一种新的智能优化算法——混沌优化算法来搜索全局最优解。该方法利用混沌运动本身具有遍历性、随机性、“规律性”等内在特点，能在一定范围内按其自身“规律”不重复地遍历所有状态，易于跳出局部最优解，具有很强的全局搜索能力。通过坡高为12.3m的某电厂三层土质边坡的典型算例分析，并和遗传算法、枚举法计算结果对比可知，计算结果超于一致，其差值接近于0，因此混沌优化算法能在很高精度下搜索到全局最优解，能很好地解决边坡稳定性分析中的优化问题。

CHAOS OPTIMIZATION ALGORITHM APPLIED IN STABILITY ANALYSIS OF SOIL SLOPE

A key problem in the reinforcement design of soil slope is how to determine the most dangerous sliding circle surface and calculate the minimum safety factor. The traditional optimization algorithm is very easy to fall into the local minimum and not find the real most dangerous sliding circle surface. And some optimize effect of the intelligent optimization algorithm is not very satisfactory because of their immature. For this reason, a new intelligent optimization algorithm is developed for searching the optimal solution. It is the chaos optimization algorithm combinating the Bishop method. Chaostic movement has its inherent characteristics, ergodicity, randomness and "regularity". The optimization algorithm adopts these inherent characteristics to loop through all the state and get out of the local optimal solutions. It has a strong global search capability. The engineering application case indicates that the chaos optimization algorithm can get the optimization result, and the genetic algorithm and improved simulated annealing algorithm can not successfully solve the problem. Comparison to the enumeration method indicates that the chaos optimization algorithm is a reliability method. The chaos optimization algorithm can successfully solve the problem that how to search the best solution of soil slope. It is expected that the chaos optimization algorithm would be widely used in slope engineering.