基于自繁衍鱼群算法的土质边坡滑动面搜索

Searching for the Slip Surface of Soil Slopes Based on the Breeding Fish Algorithm

土质边坡的稳定性问题一直是土力学的一项重点课题,而最危险滑动面搜索是其稳定性评价的关键工作。将自繁衍鱼群算法引入到土质边坡稳定性分析的临界滑动面搜索中。该方法在标准鱼群算法的基础上,借助于自然生态繁衍的规律,包含了进食竞争和交配竞争等思路,提高算法的效率,克服其易陷入复杂函数的局部最优、后期收敛减慢等缺陷。结合2个典型的边坡实例进行搜索最小安全系数和临界滑动面,计算结果表明,与常规方法相比,该方法具有更好的收敛效果和精度,为土质边坡的稳定性分析提供了一种新的搜索方法。

The problem of the stability of soil slopes has always been a key subject of soil mechanics, and search for the most dangerous sliding surface is the key to make the stability evaluation. The breeding fish algorithm is introduced into the critical slip surface search for the soil slope stability analysis. Based on the standard fish algorithm, the method relies on the law of the natural ecological breeding,which contains the ideas such as eating and mating competition, improving the efficiency of the algorithm, and overcoming its defects of easy to get caught in a local optimum of complex function with the late slow convergence. Combining with two typical examples to search minimum safety factor of slope and the critical sliding surface, the calculation results show that, compared with conventional methods, this method has better convergence effect and precision, and provides a new search method for soil slope stability analysis.