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基于Morlet小波变换和改进遗传算法的动态识别
引用本文:王海军,练继建,张社荣,张卓. 基于Morlet小波变换和改进遗传算法的动态识别[J]. 哈尔滨工业大学学报, 2009, 41(4): 193-196
作者姓名:王海军  练继建  张社荣  张卓
作者单位:天津大学,建筑工程学院,天津,300072;天津大学,建筑工程学院,天津,300072;天津大学,建筑工程学院,天津,300072;天津大学,建筑工程学院,天津,300072
基金项目:天津大学青年教师培养基金 
摘    要:如何合理地识别大型复杂结构的动力参数一直是工程领域关心的问题.为此,以Morlet小波变换和采用单亲遗传算子的改进遗传算法为基础,构造一结构动态参数识别模型.并且以C++为平台,通过计算机内部命令调用ANSYS等软件,实现识别模型的程序化.通过模拟算例计算,计算结果与理论值一致.同时,结合一水电站厂房现场振动试验,对该大型结构进行动态参数识别,识别结果与工程经验值基本吻合.

关 键 词:参数识别  小波变换  改进遗传算法  目标函数  频率

Dynamic identification based on Morlet wavelet transform and modified genetic algorithm
WANG Hai-jun,LIAN Ji-jian,ZHANG She-rong,ZHAN Zhuo. Dynamic identification based on Morlet wavelet transform and modified genetic algorithm[J]. Journal of Harbin Institute of Technology, 2009, 41(4): 193-196
Authors:WANG Hai-jun  LIAN Ji-jian  ZHANG She-rong  ZHAN Zhuo
Affiliation:WANG Hai-jun,LIAN Ji-jian,ZHANG She-rong,ZHAN Zhuo(School of Civil Engineering,Tianjin University,Tianjin 300072,China,)
Abstract:To rationally identify the dynamic parameters of a large-scale complex structure,a dynamic parameter identification model is presented on the basis of Morlet wavelet transform and modified genetic algorithm which adopts partheno operator.Making use of C++language to call some softwares,such as ANSYS,the model is programmed.Satisfactory agreement is achieved between the predicted calculation values and the theoretical values.Furthermore,field vibration measurements in a hydropower house were conducted and the structural dynamic parameters were identified.The results are basically identical to practical engineering values.
Keywords:parameter identification  wavelet transform  modified genetic algorithm  object function  frequency
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