基于小波包分析的结构损伤定位方法

英文篇名：Damage Localization of Structures by Wavelet Packet Analysis
中文刊名：武汉理工大学学报
英文刊名：Journal of Wuhan University of Technology
作者：姜增国 ; 瞿伟廉 ; 闵志华
英文作者：JIANG Zeng-guo ; QU Wei-lian ; MIN Zhi-hua(School of Civi Engineering & Architecture ; Wuhan University of Technology ; Wuhan 430070 ; China)
中文关键词：小波包分析 ; 损伤定位 ; 小波包节点能量
英文关键词：wavelet packet analysis ; damage localization ; wavelet packet component energy
出版日期：2006-11-25
机构：武汉理工大学土木工程与建筑学院,武汉理工大学土木工程与建筑学院,武汉理工大学土木工程与建筑学院武汉430070,武汉430070,武汉430070
年：2006
期：11
出版单位：武汉理工大学学报

摘要

提出了基于小波包节点能量(WPCE)相对变化量的结构损伤定位方法,采用其斜率向量和曲率向量2个指标作为损伤定位的依据,从而做到对于结构损伤的无模型定位,最后通过数值算例验证了该方法的可行性。
A new technique of damage localization based on the relative change of the wavelet packet component energy(WPCE) was proposed.This method assumed that the acceleration response time histories both before and after damage were available.The relative change of the WPCE was calculated through a proper level of wavelet packet analysis.The slope index and curvature index were presented to judge the location of damage without the model.At last,a numerical example with 10-storey shear-beam building frame was presented to prove this method.Results showed that the slope index and curvature index could be used to locate both single and multiple damages that exist in the structure.Also the accuracy of the indexes did not seem to be affected by the presence of 20-25 dB measurement noise.

引文

[1]崔锦泰.小波分析导论[M].西安:西安交通大学出版社,1995.
    [2]李宏男,孙鸿敏.基于小波分析和神经网络的框架结构损伤识别诊断方法[J].地震工程与工程振动,2003,23(5):141-147.
    [3]Ovanesova A V,Suarez L E.Application of Wavelet Transforms to Damage Detection in Frame Structures[J].EngineeringStructures,2004,26(5):39-49.
    [4]Chang C C,Sun Z.Structural Damage Localization Using Spatial Wavelet Packet Signature[J].Smart Structures and Systems,2005,1(1):29-46.
    [5]Hansang Kim,Hani Melhem.Damage Detection of Structures by Wavelet Analysis[J].Engineering Structures,2004,26(8):347-362.