摘要
通过编程建立Matlab与有限元软件命令调用接口,建立基于分组量子遗传算法的混凝土重力坝坝体材料力学参数有限元反演模型。利用工程实测值与有限元模型计算值建立适应度函数,通过分组量子遗传算法智能寻优,实现混凝土重力坝力学参数反演。以某混凝土重力坝为例对其各分区综合弹性模量进行反演,并与传统遗传算法反演结果进行对比,结果表明本方法反演精度及运行速度较均高于传统遗传算法。
The calling interface was established between MATLAB and the finite element software ABAQUS and the finite element inversion model based on the classified quantum genetic algorithm was further established to calculate the me- chanical parameters of the concrete material. And then the fitness function was determined by the calculation of the finite element calculated value and the measured value as well as the optimization of the classified quantum genetic algorithm At last, a certain concrete dam was taken as an example to calculate the comprehensive elastic modulus of each section and the results were compared with that of the conventional genetic algorithm. It is verified that both the accuracy of inversion calculation and running speed of the above method are better than those of the conventional genetic algorithm.
出处
《水利与建筑工程学报》
2015年第4期91-95,共5页
Journal of Water Resources and Architectural Engineering
基金
国家自然科学基金重点项目(41323001
51139001)
水利部公益性行业科研专项经费项目(201201038
201301061)
关键词
分组量子遗传算法
混凝土重力坝
有限元
适应度函数
classified quantum genetic algorithm
concrete gravity dam
finite element
fitness function
