Abstract
Existing vibration-based approaches for damage detection are qualitative. This paper presents a novel two-step approach for characterisation of laminar damage, such as delamination in composites and thickness reduction in metallic structures due to corrosion damage. This new approach first employs a gapped smoothing method to determine the location from curvature data. The severity of damage is then determined in the second step using an inverse method by matching predictions of finite element analysis with deflection (or curvature) data pertinent to low-frequency vibrational response. An assessment of various approaches for computing curvature reveals that wavelet transform is a promising method for simultaneously removing noise and computing curvature. Numerical simulations show that this new two-step approach is capable of quantifying the size and severity of structural damage to be used as input for a residual strength assessment.
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