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Flow Variance Method for Damage Identification

机译:流量方差法用于损伤识别

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In this paper, a flow variance based structural damage identification method is introduced. It is a practical implementation of phase space warping concept as applied to damage identification. A coupled dynamical system is considered where a slow-time damage process causes drifts in the parameters of fast-time system describing measurable response of a structure. The method is based on the hypothesis that the distribution function of the fast-time trajectory is a function of damage state. In this method, estimated local expectation of trajectory in its phase space is used as a damage tracking feature vector. After the feature vectors are constructed, damage identification is realized by smooth orthogonal decomposition. Data processing time requirements of the flow variance based approach decrease by about 2 orders-of-magnitude compared with the phase space warping based method. A common form of the feature vectors is also discussed.
机译:本文介绍了一种基于流动方差的结构损伤识别方法。这是相空间扭曲概念的实际实现,可应用于损伤识别。考虑了耦合动力系统,其中缓慢的损伤过程导致描述结构的可测量响应的快速系统的参数发生漂移。该方法基于以下假设:快速轨迹的分布函数是损伤状态的函数。在这种方法中,将轨迹在其相空间中的局部期望值用作损伤跟踪特征向量。构造特征向量后,通过平滑正交分解实现损伤识别。与基于相空间扭曲的方法相比,基于流量变化的方法的数据处理时间要求减少了大约2个数量级。还讨论了特征向量的常见形式。

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