A Practical Study of Fourier Analysis for Monitoring Fatigue Progression in Elements Subjected to Random Loads

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Lamb, Matthew, Rouillard, Vincent and Ainalis, Daniel (2010) A Practical Study of Fourier Analysis for Monitoring Fatigue Progression in Elements Subjected to Random Loads. In: Proceedings of the 6th Australasian Congress on Applied Mechanics. Engineers Australia, Perth, Australia , pp. 490-499.

Abstract

It is sometimes necessary to determine the manner in which materials deteriorate with respect to time; for instance when quantifying a material's ability to withstand sustained dynamic loads. In such cases, it is well established that loss of structural integrity is reflected by variations in modal characteristics such as natural frequency. The research presented herein uses the system's 'instantaneous' frequency response function (FRF), captured using a modified short-time Fourier transform (STFT), to continuously monitor shifts in the system's natural frequency. This approach requires a compromise to be made between the accuracy of spectral estimates and how often they can be made. The limitations brought forth by this compromise can be significantly increased if unsuitable inputs for parameter extraction are applied. This paper uses the results from numerous physical and numerical experiments to address some practical limitations of Fourier analysis with respect to temporal resolution and the uncertainties associated with extracting variations in modal parameters. Results which aid the analyst in selecting suitable inputs for parameter extraction, including those of spectral enhancement techniques, namely data overlapping and zero-padding, are also included.

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/8812
ISBN 9780858259416
Subjects Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Historical > FOR Classification > 0913 Mechanical Engineering
Historical > SEO Classification > 8899 Other Transport
Keywords ResPubID20214, frequency response, damage, health monitoring, random vibrations, modal parameters
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