Experimental damage assessment of support condition for plate structures using wavelet transform
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Construction Research Centre, Universiti Teknologi Malaysia, Johor, Malaysia
School of Civil Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
Institute of Noise and Vibration, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Forensic Engineering Center, Universiti Teknologi Malaysia, Johor, Malaysia
Submission date: 2017-07-05
Acceptance date: 2019-02-03
Publication date: 2019-04-15
Journal of Theoretical and Applied Mechanics 2019;57(2):501-518
Wavelet transforms (WTs) have gained popularity due to their ability to identify singu- larities by decomposing mode shapes of structures. In VBDD, the support condition of a structure influences structural responses and modal properties. In fact, the structural re- sponses and modal properties are a lot more sensitive to changing boundary conditions than to crack and fatigue damage, resulting in inaccurate damage detection results. Therefore, in this study, sensitivity tests to estimate a suitable distance range which allows damage detection by imposing single support damage are carried out. The estimated appropriate di- stance is then applied to detect damage at multiple supports. This involved the applicability of response acceleration of plate structures to support assessment by applying continuous wavelet transform (CWT) and discrete wavelet transform (DWT). The damage cases have been introduced by releasing bolts at specified fixed supports of the plate to simulate the damage. The response accelerations of the rectangular plate at points close to the supports were measured and decomposed using CWT and DWT to assess the structural integrity of each support. The results showed that an appropriate distance range was necessary for accu- rate damage detection, and both, CWT and DWT could provide reliable outputs. However, the first- and fourth-level detail coefficients of DWT failed to indicate damage in some ca- ses. A more detailed investigation of the effect of different wavelet scale ranges on damage detection using CWT demonstrated that the accuracy of damage detection increased as the scale decreased.
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