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A numerical study to quantify delamination damage of composite structures using an inverse method He, S, Rose, F and Wang, C 2013, 'A numerical study to quantify delamination damage of composite structures using an inverse method', Australian Journal of Multi-disciplinary Engineering, vol. 10, no. 2, pp. 145-153. Document type: Journal Article Collection: Journal Articles Title A numerical study to quantify delamination damage of composite structures using an inverse method Author(s) He, S Rose, F Wang, C Year 2013 Journal name Australian Journal of Multi-disciplinary Engineering Volume number 10 Issue number 2 Start page 145 End page 153 Total pages 9 Publisher Engineers Media 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. Subject Aerospace Structures Keyword(s) Delamination impact damage composite materials structural health monitoring DOI - identifier 10.7158/N13-AC03.2013.10.2 Copyright notice © Engineers Australia ISSN 1448-8388 Related Links Link Description http://dx.doi.org/10.7158/N13-AC03.2013.10.2 Link to Published Version   Versions Version Filter Type Tue, 18 Feb 2014, 14:08:05 EST Thu, 19 Jun 2014, 01:14:48 EST Filtered Full Altmetric details: Access Statistics: 163 Abstract Views  -  Detailed Statistics Created: Tue, 18 Feb 2014, 13:36:00 EST by Catalyst Administrator