| 基于小波包能量特征向量的结构动力响应损伤识别 |
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| 引用本文： | 魏玉明,张永志,王涛,杨珍.基于小波包能量特征向量的结构动力响应损伤识别[J].西北地震学报,2017,39(6):1156-1160. |
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| 作者姓名： | 魏玉明 张永志 王涛 杨珍 |
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| 作者单位： | 长安大学地质与测绘学院, 陕西 西安, 710064;兰州理工大学土木工程学院, 甘肃 兰州, 730050,长安大学地质与测绘学院, 陕西 西安, 710064,兰州理工大学土木工程学院, 甘肃 兰州, 730050,长安大学地质与测绘学院, 陕西 西安, 710064 |
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| 基金项目： | 国家自然科学基金项目（41374028，40674001）；甘肃省科技计划资助（1508RJZA094）；建工七七基金（jk2015-29） |
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| 摘 要： | 在结构动力响应监测中如何准确判断结构损伤状况是工程上的一大难题,本文研究通过小波包能量特征向量提取结构损伤信息来识别结构损伤的方法,并进行实验分析,同时分析噪声对能量值的影响。实验发现:小波包能量特征向量具有识别结构状态的能力,并且不受噪声的影响,相反,对观测信号去噪后不利于能量特征向量的提取。
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| 关 键 词： | 结构监测 结构动力响应 损伤识别 能量特征向量 小波包 |
| 收稿时间： | 2016/11/2 0:00:00 |
Damage Identification Based on Structural Dynamic ResponsesUsing Wavelet Packet Energy Eigenvector |
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| WEI Yuming,ZHANG Yongzhi,WANG Tao and YANG Zhen.Damage Identification Based on Structural Dynamic ResponsesUsing Wavelet Packet Energy Eigenvector[J].Northwestern Seismological Journal,2017,39(6):1156-1160. |
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| Authors: | WEI Yuming ZHANG Yongzhi WANG Tao and YANG Zhen |
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| Institution: | School of Geological Engineering and Geomatics, Chang''an University, Xi''an 710064, Shaanxi, China;School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China,School of Geological Engineering and Geomatics, Chang''an University, Xi''an 710064, Shaanxi, China,School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China and School of Geological Engineering and Geomatics, Chang''an University, Xi''an 710064, Shaanxi, China |
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| Abstract: | Monitoring structural dynamic responses is an important factor in structural health monitoring. When a building is subjected to certain vibration excitations, the structure will produce certain vibration responses. Once a structure is damaged, variations occur in its natural frequencies, stiffness, and damping values. The accurate determination of structural damage is a difficult engineering problem in the monitoring of structural dynamic responses. In this paper, we propose a method for extracting structural damage information and identifying structural damage based on the wavelet packet energy eigenvector. Utilizing the decomposed energy eigenvalue of each frequency band as a structural dynamic parameter, we determined differences in the structural state by the observed variation in the energy value and obtained good results. We also analyzed the experimental data with respect to the influence of noise on energy values. In an experiment, we found that the energy eigenvector can be used to identify the structural state and was free of noise. However, it could not be used to extract the energy feature vector after de-noising the observation signal. Therefore, we propose a method for accurately determining situations with structural damage, which is practical and can facilitate structural damage monitoring. |
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| Keywords: | structure monitoring structural dynamic response damage identification energy eigenvector wavelet packet |
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