水电站厂房结构模态参数的遗传识别方法  

Genetic Algorithm for Hydraulic Power House Modal Parameters Identification

作　　者：李松辉[1,2] 练继建[1] 

机构地区：[1]天津大学建筑工程学院,天津300072 [2]中国水利水电科学研究院结构与材料研究所,北京100038

出　　处：《天津大学学报》2009年第1期11-16,共6页Journal of Tianjin University(Science and Technology)

基　　金：国家杰出青年科学基金资助项目(50725929);国家自然科学基金资助项目(50538060,50679052)

摘　　要：环境激励下结构模态参数的时域识别方法是近年来的研究热点,水电站厂房结构一般规模巨大,常规的激励方式会对结构产生不良影响.此外,由于噪声的干扰往往产生众多虚假模态.由于机组停机过程中环境激励响应较易获得,提出一种基于遗传算法的结构模态参数识别方法,采用多信号分类法进行信号定阶.运用该方法通过模拟信号对其进行验证.并将其应用到水电站厂房结构的模态参数识别中.结果表明,该方法能够有效准确地识别出结构的自振频率和阻尼比.The structural modal parameters identification in ambient excitation is the research direction in recent years,The hydro-structure is generally huge; the normal exciting ways may bring bad effects to the structure. Besides, the false modal is easily produced because of the influence of the noise. According to the fact that ambient excitation response is readily obtained during the stop process, a method of structural modal parameters identification based on genetic algorithm was brought forward.And the multiple signal classification was used to determine the signal order. Firstly, the method was applied through analog signals for verification. Then the method was applied to the structure of the hydraulic power house. The results show that the structure＇ s self-vibration frequency and damping ratio are identified effectively.

关 键 词：遗传算法 水电站厂房 模态参数 自振频率 阻尼比 识别 

分 类 号：TV653[水利工程—水利水电工程]