Spatial Wavelet Approach to Local Matrix Crack Detection in Composite Beams with Ply Level Material Uncertainty

Sarangapani, G and Ganguli, Ranjan and Murthy, CRL (2013) Spatial Wavelet Approach to Local Matrix Crack Detection in Composite Beams with Ply Level Material Uncertainty. In: APPLIED COMPOSITE MATERIALS, 20 (4). pp. 719-746.

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Abstract

Wavelet coefficients based on spatial wavelets are used as damage indicators to identify the damage location as well as the size of the damage in a laminated composite beam with localized matrix cracks. A finite element model of the composite beam is used in conjunction with a matrix crack based damage model to simulate the damaged composite beam structure. The modes of vibration of the beam are analyzed using the wavelet transform in order to identify the location and the extent of the damage by sensing the local perturbations at the damage locations. The location of the damage is identified by a sudden change in spatial distribution of wavelet coefficients. Monte Carlo Simulations (MCS) are used to investigate the effect of ply level uncertainty in composite material properties such as ply longitudinal stiffness, transverse stiffness, shear modulus and Poisson's ratio on damage detection parameter, wavelet coefficient. In this study, numerical simulations are done for single and multiple damage cases. It is observed that spatial wavelets can be used as a reliable damage detection tool for composite beams with localized matrix cracks which can result from low velocity impact damage.

Item Type:	Journal Article
Publication:	APPLIED COMPOSITE MATERIALS
Publisher:	SPRINGER
Additional Information:	Copyright of this article is belongs to SPRINGER
Keywords:	Spatial wavelet; Matrix crack; Gabor wavelet; Damage detection; Composite beam; Monte Carlo Simulation
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	02 Oct 2013 05:47
Last Modified:	02 Oct 2013 05:47
URI:	http://eprints.iisc.ac.in/id/eprint/47353

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