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http://dx.doi.org/10.12989/sss.2018.22.3.277

Progressive damage detection of thin plate structures using wavelet finite element model updating  

He, Wen-Yu (Department of Civil Engineering, Hefei University of Technology)
Zhu, Songye (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University)
Ren, Wei-Xin (Department of Civil Engineering, Hefei University of Technology)
Publication Information
Smart Structures and Systems / v.22, no.3, 2018 , pp. 277-290 More about this Journal
Abstract
In this paper, wavelet finite element model (WFEM) updating technique is employed to detect sub-element damage in thin plate structures progressively. The procedure of WFEM-based detection method, which can detect sub-element damage gradually, is established. This method involves the optimization of an objective function that combines frequencies and modal assurance criteria (MAC). During the damage detection process, the scales of wavelet elements in the concerned regions are adaptively enhanced or reduced to remain compatible with the gradually identified damage scenarios, while the modal properties from the tests remains the same, i.e., no measurement point replacement or addition are needed. Numerical and experimental examples were conducted to examine the effectiveness of the proposed method. A scanning Doppler laser vibrometer system was employed to measure the plate mode shapes in the experimental study. The results indicate that the proposed method can detect structural damage with satisfactory accuracy by using minimal degrees-of-freedoms (DOFs) in the model and minimal updating parameters in optimization.
Keywords
progressive damage detection; thin plate; wavelet finite element; model updating;
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