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首页> 外文期刊>Mechanical systems and signal processing >Guided wave-based identification of multiple cracks in beams using a Bayesian approach
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Guided wave-based identification of multiple cracks in beams using a Bayesian approach

机译：基于贝叶斯方法的基于导波的梁中多个裂纹识别

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摘要

A guided wave damage identification method using a model-based approach is proposed to identify multiple cracks in beam-like structures. The guided wave propagation is simulated using spectral finite element method and a crack element is proposed to take into account the mode conversion effect The Bayesian model class selection algorithm is employed to determine the crack number and then the Bayesian statistical framework is used to identify the crack parameters and the associated uncertainties. In order to improve the efficiency and ensure the reliability of identification, the Transitional Markov Chain Monte Carlo (TMCMC) method is implemented in the Bayesian approach. A series of numerical case studies are carried out to assess the performance of the proposed method, in which the sensitivity of different guided wave modes and effect of different levels of measurement noise in identifying different numbers of cracks is studied in detail. The proposed method is also experimentally verified using guided wave data obtained from laser vibrometer. The results show that the proposed method is able to accurately identify the number, locations and sizes of the cracks, and also quantify the associated uncertainties. In addition the proposed method is robust under measurement noise and different situations of the cracks.
机译：提出了一种基于模型的导波损伤识别方法，以识别梁状结构中的多个裂纹。利用频谱有限元法模拟了导波的传播，并考虑了模式转换的影响，提出了裂纹单元。采用贝叶斯模型分类选择算法确定裂纹数量，然后利用贝叶斯统计框架识别裂纹。参数和相关的不确定性。为了提高识别效率和可靠性，在贝叶斯方法中采用了过渡马尔可夫链蒙特卡罗方法。进行了一系列的数值案例研究，以评估该方法的性能，其中详细研究了不同导波模式的灵敏度以及不同水平的测量噪声对识别不同数量裂纹的影响。使用从激光测振仪获得的导波数据还对实验方法进行了实验验证。结果表明，该方法能够准确识别裂纹的数量，位置和大小，并量化相关的不确定性。另外，所提出的方法在测量噪声和裂缝的不同情况下是鲁棒的。

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