摘要
针对传统优化矩阵方法和优化元素方法的目标函数存在误导性的问题,采用改进的最优化元素型模型修正法,该方法定义了合理的目标函数,不需要质量归一化的模态振型.为了快速、准确地求得全局最优解,使用一种浮点数编码的遗传算法来解决模型修正问题中的优化问题.通过对一个7个自由度的质量-弹簧系统和一个复杂平面桁架结构模型修正的数值计算,验证基于遗传算法的改进的最优化元素型法的有效性.
The Improved Optimal Elemental Method for Finite Element Model Updating is employed, because this method defines a feasible objective function, which is more consistent than traditional optimization based MUT. The traditional numerical algorithms can not escape from possible local entrapment, while Genetic Algorithm （GA） may produce a global-optimal solution. A Float-encoding Genetic Algorithm （FGA） is proposed for the solution of this problem. Finally numerical applications to a 7 DOF （ Degrees of Freedom） Mass - Spring System and a complicated planar truss structure are presented. The results testify that the Improved Optimal Elemental Method employing Genetic Algorithm is feasible and effective.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2007年第2期181-186,共6页
Journal of Harbin Institute of Technology
关键词
模型修正
优化元素型法
遗传算法
model updating
optimal elemental method
genetic algorithm
