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Damage detection technique for structure based on FRF data generated by harmonic excitation force

机译:基于谐波激励力产生的FRF数据的结构损伤检测技术

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摘要

A technique for detecting damage to structures is proposed that uses FRF data generated by the harmonic excitation force. It is based on the fact that structural damage usually causes a decrease in structural stiffness and an increase in structural damping, thereby producing change in vibration characteristics. This change in vibration responses provides useful information about the location and severity of the damage done. Damage identification equations were established by comparing the equations of motion of the structure before and after damage. The proposed technique using harmonic excitation is advantageous in that we know the input force exactly, compared to other methods that use unknown ambient excitation. Therefore we can use both input and output data for identification. When the number of measurements was insufficient, the iteration scheme, which iteratively reduce the number of unknown parameters by excluding the elements assessed undamaged from damage candidates, was introduced. The results of numerical simulations and field measurements are presented to assess the validity of the proposed technique.
机译:提出了一种利用谐波激励力产生的FRF数据检测结构损坏的技术。基于这样的事实,即结构损坏通常会导致结构刚度降低和结构阻尼增加,从而导致振动特性发生变化。振动响应的这种变化提供了有关损坏位置和严重程度的有用信息。通过比较损伤前后的结构运动方程,建立损伤识别方程。与使用未知环境激励的其他方法相比,使用谐波激励的拟议技术的优势在于,我们可以准确地知道输入力。因此,我们可以使用输入和输出数据进行识别。当测量数量不足时,引入了迭代方案,该迭代方案通过从损坏候选中排除未损坏的评估元素来迭代地减少未知参数的数量。数值模拟和现场测量的结果被提出以评估所提出技术的有效性。

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