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Detection of Fatigue Cracks Using Random Decrement Signatures

机译:使用随机减量签名检测疲劳裂纹

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摘要

Damage in structural members usually causes stiffness changes that could be linear or nonlinear. Opening and closing fatigue cracks are usually represented by a bilinear stiffness characteristic. This work describes damage identification approach that is based on the changes in statistical properties of randomdec signatures caused by the onset of non-linearity. The approach is applied to acceleration data collected from a cracked beam. The results suggest that the method allows to detect the crack if excitation level is high enough. Practical difficulties encountered during implementation are also discussed.
机译:结构构件的损坏通常会导致刚度变化,该变化可能是线性的也可能是非线性的。疲劳裂纹的打开和闭合通常由双线性刚度特性表示。这项工作描述了基于非线性引起的randomdec签名统计属性变化的损伤识别方法。该方法适用于从破裂光束收集的加速度数据。结果表明,如果激发水平足够高,该方法可以检测裂纹。还讨论了在实施过程中遇到的实际困难。

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