Vibration-based damage identi cation in beam-like composite laminates by using arti cial neural networks

Abstract

This paper investigates the effectiveness of the combination of global (changes in natural frequencies) and local (curvature mode shapes) vibration-based analysis data as input for artiŽ cial neural networks (ANNs) for location and severity prediction of damage in Ž bre-reinforced plastic laminates. A Ž nite element analysis tool has been used to obtain the… (More)

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Cite this paper

@inproceedings{Sahin2009VibrationbasedDI, title={Vibration-based damage identi cation in beam-like composite laminates by using arti cial neural networks}, author={Melike Sahin}, year={2009} }