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首页> 外文会议>Structural health monitoring and inspection of advanced materials, aerospace, and civil infrastructure 2015 >Damage Detection and Quantification in a Structural Model under Seismic Excitation Using Time-Frequency Analysis
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Damage Detection and Quantification in a Structural Model under Seismic Excitation Using Time-Frequency Analysis

机译：基于时频分析的地震激励下结构模型的损伤检测与量化

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In civil engineering, health monitoring and damage detection are typically carry out by using a large amount of sensors. Typically, most methods require global measurements to extract the properties of the structure. However, some sensors, like LVDT, cannot be used due to in situ limitation so that the global deformation remains unknown. An experiment is used to demonstrate the proposed algorithms: a one-story 2-bay reinforce concrete frame under weak and strong seismic excitation. In this paper signal processing techniques and nonlinear identification are used and applied to the response measurements of seismic response of reinforced concrete structures subject to different level of earthquake excitations. Both modal-based and signal-based system identification and feature extraction techniques are used to study the nonlinear inelastic response of RC frame using both input and output response data or output only measurement. From the signal-based damage identification method, which include the enhancement of time-frequency analysis of acceleration responses and the estimation of permanent deformation using directly from acceleration response data. Finally, local deformation measurement from dense optical tractor is also use to quantify the damage of the RC frame structure.
机译：在土木工程中，通常通过使用大量传感器来进行健康监控和损坏检测。通常，大多数方法都需要进行全局测量以提取结构的属性。但是，由于原位限制，某些传感器（如LVDT）无法使用，因此整体变形仍然未知。通过实验证明了所提出的算法：在弱和强地震激励下的一层两层钢筋混凝土框架。本文采用信号处理技术和非线性识别技术，将其应用于钢筋混凝土结构在不同水平地震激励下的地震反应的响应测量。基于模态和基于信号的系统识别和特征提取技术均用于使用输入和输出响应数据或仅输出测量来研究RC框架的非线性非弹性响应。来自基于信号的损伤识别方法，其中包括增强加速度响应的时频分析和直接使用加速度响应数据估算永久变形。最后，来自密集光学牵引车的局部变形测量还用于量化RC框架结构的损伤。

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