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首页> 外文会议>3rd International Workshop on Structural Health Monitoring, Sep 12-14, 2001, Stanford University >Wavelet-Based Approach for ASCE Structural Health Monitoring Benchmark Studies
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Wavelet-Based Approach for ASCE Structural Health Monitoring Benchmark Studies

机译：基于小波的ASCE结构健康监测基准研究方法

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摘要

A wavelet-based approach is applied for ASCE (American Society of Civil Engineers) structural health monitoring benchmark data to detect and locate a structural damage. The response simulation data were generated by finite element codes provided by the ASCE Task Group on Health Monitoring for a four-story prototype building structure subjected to simulated stochastic wind loading. A 'modification was made to consider a case where damages were introduced in the middle of response by breakage of one or more structure elements such as inter-story braces. Wavelets were used to analyze the simulation data to detect and locate a structural damage if it occurs. It was found that a structural damage due to suddenly breakage of structural elements and the time when it occurred can be easily detected by spikes in the wavelet details. The damage region can be determined by the spatial distribution pattern of the observed spikes. The effects of measurement noise and the severity of damage were investigated. The results in this paper illustrate a great promise of wavelet analysis for the structural health monitoring, especially for an on-line application.
机译：基于小波的方法应用于ASCE（美国土木工程师学会）结构健康监测基准数据，以检测和定位结构损伤。响应模拟数据是由ASCE健康监测任务组提供的有限元代码生成的，用于四层原型建筑结构，其模拟风荷载是随机的。进行了“修改”，以考虑这样一种情况，即在响应中间由于一个或多个结构元素（如层间支撑）的损坏而引入了损坏。小波用于分析模拟数据，以检测和定位结构损坏（如果发生）。已经发现，由于结构元件的突然破裂和发生时间而引起的结构损坏可以通过小波细节中的尖峰很容易地检测到。损坏区域可以通过观察到的尖峰的空间分布模式确定。研究了测量噪声和损坏严重程度的影响。本文的结果说明了小波分析在结构健康监测中的巨大前景，特别是在在线应用中。

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