Imperial College London
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DrDanielAinalis

Faculty of Engineering, Department of Civil and Environmental Engineering

Honorary Research Fellow
 
 
 
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Contact

 

d.ainalis Website

 
 
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Location

 

Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lamb:2011:10.1080/14484846.2011.11464601,
author = {Lamb, M and Rouillard, V and Ainalis, D},
doi = {10.1080/14484846.2011.11464601},
journal = {Australian Journal of Mechanical Engineering},
pages = {103--112},
title = {A multi-resolution time domain technique for monitoring fatigue progression in elements subjected to random loads},
url = {http://dx.doi.org/10.1080/14484846.2011.11464601},
volume = {8},
year = {2011}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Materials and structures subjected to random loading can deteriorate in a complex fashion. A technique for monitoring the manner in which this decay occurs can be useful, not in the least, for comparative analysis. One method for monitoring structural deterioration is to continually track variations in the system's modal parameters. Modal parameters are often extracted using the system's frequency response function, obtained using the Fourier transform. However, for continual parameter extraction, the Fourier transform requires that a compromise be made between the spectral accuracy of the estimates and how frequently they can be obtained. This compromise significantly limits the potential of Fourier transform based techniques as continuous structural integrity assessment tools. The technique presented herein applies the Hilbert transform to the system's instantaneous impulse response function, captured using the coefficients of an adaptive finite-impulse-response filter, in order to continually monitor shifts in the system's natural frequency. This approach allows for the properties of systems to be evaluated at regular intervals without compromising spectral uncertainty. Numerous damage scenarios were performed (using both physical and numerical systems) in order to test the sensitivity of the technique as well as its ability to converge with changes in system characteristics. © Institution of Engineers Australia, 2011.
AU  - Lamb,M
AU  - Rouillard,V
AU  - Ainalis,D
DO  - 10.1080/14484846.2011.11464601
EP  - 112
PY  - 2011///
SN  - 1448-4846
SP  - 103
TI  - A multi-resolution time domain technique for monitoring fatigue progression in elements subjected to random loads
T2  - Australian Journal of Mechanical Engineering
UR  - http://dx.doi.org/10.1080/14484846.2011.11464601
VL  - 8
ER  -
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