摘要
利用遗传算法对拱坝地质力学参数位移反分析的方法进行了研究。针对简单遗传算法的早熟现象,引入了小生境技术与自适应杂交变异概率的方法,并结合拱坝地质力学模型试验与三维有限元方法,给出了适合推求拱坝地质力学参数的反分析方法。结合实际工程,反演了拱坝基岩的弹性模量和泊松比。结果表明,该算法适用于拱坝地质力学参数的位移反分析,可以有效地解决简单遗传算法的早熟现象,而且收敛效率也有明显提高。
The improved genetic algorithm is proposed to identify the elastic constants of rock foundation of concrete arch dams according to the measured displacements. Considering the premature phases of genetic algorithms, niche technology and method of adaptive probabilities of crossover and mutation are both introduced into the classical simple genetic algorithm to carry out the displacement back analysis which is based on the displacements measured in the model experiments and 3D FEM. In a case study on the practical engineering, the elastic modulus and Poisson ＇ s ratio are obtained. The study shows that this method is suitable for the displacement back analysis of arch dams. It can also avoid premature phases that often happen in simple genetic algorithms, and a good convergence is achieved.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2005年第23期4341-4345,共5页
Chinese Journal of Rock Mechanics and Engineering
关键词
水利工程
拱坝
位移反分析
遗传算法
小生境
自适应概率
hydraulic engineering
arch dam
displacement backanalysis
genetic algorithm
niche
adaptive probabilities
