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Damage identification in skeletal structures using the virtual distortion method in frequency domain

机译:基于频域虚拟失真方法的骨骼结构损伤识别

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摘要

The paper is a continuation of research on the application of a structural reanalysis method-the virtual distortion method-to structural health monitoring. The first approach, formulated previously in the time domain, suffered from a considerable numerical cost. In order to reduce it, this paper presents an alternative approach, formulated in the frequency domain thanks to the assumption of using harmonic excitation (quasi-static problem). The hardware devices supposed to collect structural responses are piezoelectric patch sensors. The software tool for damage identification solves a nonlinear least squares optimization problem by employing analytically derived sensitivities. Strains are the analyzed quantities, contributing to the objective function. Considerations are restricted to skeletal structures and a simplified dynamic problem with no damping. Effectiveness of the frequency-domain identification is demonstrated in numerical examples. Experimental verification is envisaged.
机译:本文是对结构再分析方法(虚拟变形方法)在结构健康监测中的应用的继续研究。先前在时域中提出的第一种方法遭受了相当大的数值成本。为了减少它,本文提出了一种替代方法,由于使用了谐波激励(准静态问题),因此在频域中采用了这种方法。应该收集结构响应的硬件设备是压电膜片传感器。用于损伤识别的软件工具通过采用解析得出的灵敏度来解决非线性最小二乘优化问题。菌株是分析的数量,有助于目标函数。考虑仅限于骨骼结构和没有阻尼的简化动态问题。数值示例证明了频域识别的有效性。设想进行实验验证。

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