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Detection of fatigue cracks in a beam using a spatio-temporal dynamical system identification method

Guo, L.Z. and Billings, S.A. (2005) Detection of fatigue cracks in a beam using a spatio-temporal dynamical system identification method. Research Report. ACSE Research Report no. 907 . Automatic Control and Systems Engineering, University of Sheffield

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Abstract

The identification of fatique creacks in a beam is investigated in this paper. It is shown that due to the influence of the elastic non-linearity of fatigue cracks, the homogeneity, along with the length of the beam of the spatio-temporal dynamics of the vibrating beam is destroyed. By using spatio-temporal dynamical system identification techniques, a new approach is developed to detect this nonhomogeneity. The cracked beam is divided into several spatial regions and a coupled map latticce (CML) model is identified and verified in one of the regions using an orthogonal forward regression (OFR) least-squares algorithm. This CML model is then used to predict the dynamical behavious of the other regions and in this way to detect the nonhomgeneity of the overall system.

Item Type: Monograph (Research Report)
Copyright, Publisher and Additional Information: The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User: Miss Anthea Tucker
Date Deposited: 21 Sep 2012 15:21
Last Modified: 05 Jun 2014 00:37
Status: Published
Publisher: Automatic Control and Systems Engineering, University of Sheffield
URI: http://eprints.whiterose.ac.uk/id/eprint/74507

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