Abstract
Wavelet transform (WT) has become a reliable tool in detecting damage in structures. Owing to its reliability, various researchers have applied WT to identify singularities in mode shapes and their derivatives to identify damage. Recently, the idea of WT analysis of mode shape differences to detect damage in structures was proposed. This involved applying the difference between the mode shape of the undamaged and damaged structure. In this study, a WT noise sensitivity of mode shapes and mode shape differences to damage detection in plate structures is presented. A numerical model of a square steel plate with different boundary conditions (one, two, and four sides fixed) is applied in this study. The damage is imposed at different locations in the plate models by reducing thickness at the damage locations to mimic corrosion. The damage detectability of both methods is then analyzed and evaluated. The results show that mode shape differences provided better and more accurate detection than mode shapes. The problem of border distortion was visible in the coefficients when mode shape was applied. The parametric analysis showed that mode shape differences performed better when the signals were polluted with noise.
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Abdulkareem, M., Ganiyu, A. (2023). Noise Sensitivity of Mode Shape and Mode Shape Difference to Damage Detection. In: Emamian, S.S., Awang, M., Razak, J.A., Masset, P.J. (eds) Advances in Material Science and Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3307-3_18
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DOI: https://doi.org/10.1007/978-981-19-3307-3_18
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