摘要
基于岩体内地下水渗流的数学模型,根据观测信息采用反演的方法确定岩体的渗透系数。将遗传算法和模拟退火算法相结合,建立遗传模拟退火算法以保证反演结果的全局最优性并提高收敛速度。结合边坡工程实例检验了所提出反演方法的有效性。
Basing on the numerical model of the seepage flow in the rock, permeability of the rock is inversed according to the observed information. Genetic-Simulating Annealing Algorithm is proposed by combining Genetic Algorithm with Simulating Annealing Algorithm to get higher convergent speed as well as to get the global optima of the permeability of the rock. The effectiveness and the efficient of inversion method is proved by slope engineering practice.
出处
《土工基础》
2005年第3期31-35,共5页
Soil Engineering and Foundation
关键词
渗透系数反演
遗传算法
模拟退火算法
全局最优
permeability inversion, genetic algorithm, simulating annealing algorithm, global optimization
