基于小波-人工免疫算法的框架结构损伤识别  

Damage identification method of the frame structure based on the wavelet-artificial immune algorithm

作　　者：管德清[1] 陈豫洲 李冉[1] 

机构地区：[1]长沙理工大学土木与建筑学院,湖南长沙410004

出　　处：《交通科学与工程》2015年第3期61-66,共6页Journal of Transport Science and Engineering

基　　金：国家自然科学基金项目(51378079)

摘　　要：提出了小波-人工免疫算法的概念,建立了框架结构有限元模型。采用Lanczos法,对结构进行模态分析,得到了含损伤框架结构的应变模态。运用小波分析方法,对结构的模态参数进行连续小波变换,得到了小波系数图,并通过图形中的奇异点来识别框架结构的损伤位置。以基于结构的频率和模态振型所建立的目标函数为抗原,以小波识别出的损伤单元损伤程度(即问题的解)作为抗体,运用人工免疫算法,进行全局寻优迭代计算,实现对结构损伤程度的识别。以平面框架结构为例进行计算,分析结果表明:该方法能够有效识别结构的损伤位置和损伤程度。The concept of wavelet-artificial immune algorithm is put forward. A finite element model of frame structure is established.The modal of the structure can be analyzed by using Lanczos method, so the strain mode of the damage frame structure can be calculated. The theory of wavelet analysis was applied to analyze the modal parameters of the structure to get the wavelet coefficient chart.The damage position of the frame structure can be identified by the singular point in the graphic.Then,the objective function which was established by the frequency and modal shape was regard as the antigen,and the degree of the damage elements which was identified by the wavelet theory was regarded as the antibody.The artificial immune algorithm was used for the iterative calculation of the global optimization, so the damage degree of the structure can be identified.Through the analysis to the plane frame structure, the results show that the wavelet-artificial immune algorithm can effectively identify the damage location and the damage degree of the structure.

关 键 词：损伤识别 小波分析 人工免疫算法 框架结构 应变模态 

分 类 号：TU317.5[建筑科学—结构工程] TN911.6[电子电信—通信与信息系统]