Robust modal curvature features for identifying multiple damage in beams

Wiesław Ostachowicz; Wei Xu; Runbo Bai; Maciej Radzieński; Maosen Cao

doi:10.1117/12.2045316

9 March 2014 Robust modal curvature features for identifying multiple damage in beams

Wiesław Ostachowicz, Wei Xu, Runbo Bai, Maciej Radzieński, Maosen Cao

Proceedings Volume 9064, Health Monitoring of Structural and Biological Systems 2014; 90640P (2014) https://doi.org/10.1117/12.2045316
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

Curvature mode shape is an effective feature for damage detection in beams. However, it is susceptible to measurement noise, easily impairing its advantage of sensitivity to damage. To deal with this deficiency, this study formulates an improved curvature mode shape for multiple damage detection in beams based on integrating a wavelet transform (WT) and a Teager energy operator (TEO). The improved curvature mode shape, termed the WT - TEO curvature mode shape, has inherent capabilities of immunity to noise and sensitivity to damage. The proposed method is experimentally validated by identifying multiple cracks in cantilever steel beams with the mode shapes acquired using a scanning laser vibrometer. The results demonstrate that the improved curvature mode shape can identify multiple damage accurately and reliably, and it is fairly robust to measurement noise.

Citation Download Citation

Wiesław Ostachowicz, Wei Xu, Runbo Bai, Maciej Radzieński, and Maosen Cao "Robust modal curvature features for identifying multiple damage in beams", Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90640P (9 March 2014); https://doi.org/10.1117/12.2045316

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