基于小波包指纹空间分析的结构损伤评估方法研究  

STRUCTURAL DAMAGE ASSESSMENT BASED ON SPATIAL ANALYSIS OF WAVELET PACKET SIGNATURE

作　　者：闵志华[1] 孙智[1] 孙利民[1] 

机构地区：[1]同济大学土木工程防灾国家重点试验室,上海200092

出　　处：《振动与冲击》2008年第11期1-5,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金面上项目(50508027);国家科技部863项目(2006AA11Z109);上海市科技启明星项目(06QA14051);教育部新世纪优秀人才支持计划(NCET070623)

摘　　要：提出了基于小波包指纹空间分析的结构损伤评估方法,通过从结构测试信号中提取小波包指纹并以其平方比空间曲率指标的变化为依据达到对结构损伤的无模型定位。文章并通过一简支梁的数值算例验证了该方法的可行性,算例结果表明此指标能对结构中存在的一处或多处损伤进行精确地定位,同时它们也具有较好的抗噪能力,在30dB噪声干扰下仍能有效定位损伤。最后通过一简支梁损伤评估试验验证了该方法在结构损伤定位上的准确性和可行性。A damage identification technique based on spatial analysis of wavelet packet signature (WPS) was pro- posed,which requires that the acceleration responses before and after damage have been beforehand available.The square ratio of the WPS was calculated through a proper level of wavelet packet analysis.The spatial curvature index of square ra- tio was computed to judge the damage location in the model.A numerical example of a simply-supported beam was presen- ted for verification.The results show the spatial curvature index can be used to locate both single and multiple damages existing in the structure.The reliability of the index is not affected even at the presence of 30dB measurement noise.An experimental study on a simply supported beam was conducted and the test results validate the effectiveness of the method.

关 键 词：小波包指纹 损伤评估 空间分析 抗噪性 

分 类 号：TU317[建筑科学—结构工程] O329[理学—一般力学与力学基础]