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Damage detection using transient trajectories in phase-space with extended random decrement technique under non-stationary excitations

机译:在非平稳激励下利用相空间瞬变轨迹的扩展随机减量技术进行损伤检测

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摘要

This paper proposes a damage detection method based on the geometrical variation of transient trajectories in phase-space, and the proposed methodology is compatible with non-stationary excitations (e.g., earthquake-induced ground motion). The work presented assumes zero-mean non-stationary excitation, and extends the random decrement technique to convert non-stationary response signals of the structure into free-vibration data. Transient trajectories of the structure are reconstructed via the embedding theorem from the converted free-vibration data, and trajectories are mapped successively into phase-space to enhance statistical analysis. Based upon the characterized system dynamics in terms of phase-space, the time prediction error is adopted as the damage index. To identify the presence and severity of damage in a statistically rigorous way, receiver operating characteristic curves and the Bhattacharyya distance are employed. The results from both numerical simulations and experiments validate the proposed framework, when the test structures are subject to non-stationary excitations. The extension achieved in this paper enables the phase-space damage detection approach to be compatible with non-stationary scenarios, such as traffic, wind, and earthquake loadings. Moreover, the results indicate that this phase-state-based method is able to identify damage-induced nonlinearity in response, which is an intrinsic characteristic associated with most structural damage types.
机译:本文提出了一种基于相空间中瞬变轨迹几何变化的损伤检测方法,该方法与非平稳激励(例如地震引起的地震动)兼容。提出的工作假设零均值非平稳激励,并扩展了随机减量技术,以将结构的非平稳响应信号转换为自由振动数据。通过嵌入定理从转换后的自由振动数据中重建结构的瞬态轨迹,并将轨迹连续映射到相空间中以增强统计分析。基于相空间特征的系统动力学,将时间预测误差作为损伤指标。为了以统计上严格的方式识别损坏的存在和严重程度,使用了接收器工作特性曲线和Bhattacharyya距离。当测试结构受到非平稳激励时,数值模拟和实验结果都验证了所提出的框架。本文实现的扩展使相空间损伤检测方法能够与非平稳场景(例如交通,风和地震荷载)兼容。此外,结果表明,这种基于相态的方法能够识别响应引起的损伤非线性,这是与大多数结构损伤类型相关的固有特征。

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