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Instantaneous modal identification under varying structural characteristics: A decentralized algorithm
Mechanical Systems and Signal Processing ( IF 8.4 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.ymssp.2020.106750
Said Quqa , Luca Landi , Pier Paolo Diotallevi

Abstract One of the latest trends in structural health monitoring involves the use of wireless decentralized sensing systems, developed to reduce costs and speed up the whole monitoring process. The main purpose of this paper is to present a novel decentralized procedure for the instantaneous modal identification of time-varying structures, also suitable in the presence of environmental variations and non-stationary ambient excitation. In particular, a modal assurance criterion (MAC)-based clustered filter bank (CFB) is obtained, capable of decomposing structural responses into modal components for the evaluation of time-varying natural frequencies and modal shapes through a nonlinear energy operator. The proposed algorithm is relatively simple and usable with low-cost smart sensing systems, as it requires low computational effort and works with few data at a time. To prove the effectiveness of the presented method, a simulated near-real-time modal identification procedure has been performed on a full-scale bridge under progressive damage scenarios. The estimated modal parameters have then been used for damage diagnosis. The results reveal a good correspondence between identified modal parameters and reference values, showing also promising outcomes for both damage detection and localization.

中文翻译:

不同结构特征下的瞬时模态识别:一种分散算法

摘要 结构健康监测的最新趋势之一涉及无线分散传感系统的使用,该系统旨在降低成本并加快整个监测过程。本文的主要目的是提出一种新的分散式时变结构瞬时模态识别程序,也适用于存在环境变化和非平稳环境激励的情况。特别是,获得了基于模态保证准则 (MAC) 的聚类滤波器组 (CFB),能够将结构响应分解为模态分量,以通过非线性能量算子评估时变固有频率和模态形状。所提出的算法相对简单,可用于低成本的智能传感系统,因为它需要很少的计算工作并且一次处理很少的数据。为了证明所提出方法的有效性,在渐进式损坏情况下在全尺寸桥梁上执行了模拟的近实时模态识别程序。估计的模态参数随后被用于损伤诊断。结果揭示了识别的模态参数和参考值之间的良好对应关系,也显示了损伤检测和定位的有希望的结果。
更新日期:2020-08-01
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