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Vibration-based damage assessment of steel structure using global and local response measurements

机译：基于整体和局部响应测量的基于振动的钢结构损伤评估

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Damage assessment of a structure involves acquiring and identifying dynamic characteristics of the structure and using these characteristics to evaluate behavior and performance. In this study, an unsymmetrical three-story steel structure (fabricated with one weak column in the first floor) was tested on shaking table and subjected to a series of earthquake excitations with increasing level of excitation back to back. Besides, white noise excitation was also applied in between the earthquake excitation to serve as the reference state. Both the traditional sensing system (accelerometer and linear variable differential transformer) and the local optical tracker system were implemented in the structure to collect the vibration-based responses. For operational modal analysis, structural response from white noise excitation will be used in this study. First, the traditional system identification using global response data is used (multivariate autoregressive (AR)-model) to extract system natural frequencies and mode shapes from all different set of white noise responses after earthquake excitation. The migration of AR-coefficient ellipse error from each sensor response was used to identify the damage location. Second, blind source separation technique was used to identify the modal contribution of the structure from each test, which provide information to detect the damage severity. Finally, from the local optical tracker array data, the principal component analysis was applied to quantify the earthquake-induce local stress of the structural member. Combine the result from damage detection using global measurement and the identified local element stress, one can locate and quantify the damage. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译：结构的损坏评估涉及获取和识别结构的动态特征，并使用这些特征来评估行为和性能。在这项研究中，在摇床上测试了一个不对称的三层钢结构（在一楼用一个弱柱制造），并进行了一系列地震激励，激励水平越来越高。此外，在地震激励之间还应用了白噪声激励作为参考状态。在结构中同时实现了传统的传感系统（加速度计和线性可变差分变压器）和本地光学跟踪器系统，以收集基于振动的响应。对于操作模态分析，本研究将使用白噪声激发的结构响应。首先，使用使用全局响应数据的传统系统识别（多元自回归（AR）模型）从地震激发后所有不同的白噪声响应集中提取系统固有频率和模式形状。来自每个传感器响应的AR系数椭圆误差的迁移被用于识别损伤位置。其次，使用盲源分离技术从每个测试中识别出结构的模态贡献，从而为检测破坏的严重性提供信息。最后，从局部光学跟踪器阵列数据中，应用主成分分析来量化地震诱发结构构件的局部应力。将使用整体测量得到的损坏检测结果与已识别的局部应力相结合，可以定位并量化损坏。版权所有（c）2015 John Wiley＆Sons，Ltd.

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