基于改进遗传算法的泵房结构动力参数反演分析  

Analysis on Inversion of Dynamic Parameters of Pump Room Structure Based on Improved Genetic Algorithm

作　　者：丁晓唐[1] 赵辉[1] 王振兴[1] 

机构地区：[1]河海大学土木与交通学院,江苏南京210098

出　　处：《中州煤炭》2016年第5期58-61,105,共5页Zhongzhou Coal

基　　金：国家自然科学基金项目资助(51279052)

摘　　要：泵房结构的动力参数反演对评价泵房的健康状态尤为重要。为提高参数反演的效率,基于改进遗传算法,利用实测一阶频率及实测加速度峰值构造双重目标函数,反演泵房结构材料动力参数及边界条件,并利用所得反演参数进行泵房结构动力特性计算。以淮安三站为工程背景,计算结果表明:双重目标函数计算较为简便,效率较高,且相对于单目标函数,其计算精度更高。Dynamic parameter inversion of pump room structure is particularly important for evaluating the health status of pump room structure. To improve the efficiency of inversion parameters,based on improved genetic algorithm,this paper used measured first-order frequency and measured acceleration peak value to construct dual objective functions. At the same time,inversion was carried out to analyze the material parameters and boundary conditions of pump room structure. Moreover,the obtained parameters of pump room structure were used to calculate dynamic characteristics. Taking Huaian Three Station as the engineering background,and the result shows that： the dual objective function is simple and efficient. Besides,its calculation accuracy is higher than that of the single objective function.

关 键 词：泵房 改进遗传算法 参数反演 动力参数 

分 类 号：TD264.3[矿业工程—矿井建设]