基于改进小波包能量的梁式结构损伤识别

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摘要利用小波包变换技术将结构的节点曲率响应分解到不同模态，选择能量较大的结构单阶模态响应构造损伤指标，使得损伤指标具有较强的噪音鲁棒性和损伤敏感性。通过统计损伤指标超过损伤预警值的次数来识别损伤，进一步降低了环境噪音对识别结果的影响。通过多种不同损伤工况的简支梁数值算例和实验验证了该方法的有效性。结果表明，该方法能够用于工程实际，当响应信号中的噪音在10％以下时，此方法能够准确的识别出较小程度的结构损伤。

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关键词 ：节点曲率, 损伤识别, 小波包变换, 噪音鲁棒性

Abstract：

The signal of structural nodal curvature is firstly decomposed into different modals through wavelet packet transform. Then, the modal response, which have the larger energy than the other modal, is selected to calculate the damage index, so as to improve the noise robustness of the method. To further reduce the effection of noise, the number that damage index exceeded the warning line is counted to detect the damage of structure. The proposed approach is verified to be valid through numerical simulation and experiment of damage detection for a simply supported beam model with several different damage cases. The results indicate that the method can identify small structure damages accurately, while the noise proportion is up to 10%.

Key words： nodal curvature damage detection wavelet packet transform noise robustness

收稿日期: 2015-03-16 出版日期: 2016-06-25

引用本文:

刘习军1，商开然1,2，张素侠1，霍冰1，孙良1. 基于改进小波包能量的梁式结构损伤识别[J]. 振动与冲击, 2016, 35(13): 179-185.
Liu Xijun1，Shang Kairan 1, Zhang Suxia1，Huo Bing1, Sun Liang1. Damage detection method for beam structures based on improved Wavelet Packet energy. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(13): 179-185.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2016/V35/I13/179

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