A new twist on mode indicator functions
Contribuinte(s) |
De Stefano, Alessandro |
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Data(s) |
2015
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Resumo |
Mode indicator functions (MIFs) are used in modal testing and analysis as a means of identifying modes of vibration, often as a precursor to modal parameter estimation. Various methods have been developed since the MIF was introduced four decades ago. These methods are quite useful in assisting the analyst to identify genuine modes and, in the case of the complex mode indicator function, have even been developed into modal parameter estimation techniques. Although the various MIFs are able to indicate the existence of a mode, they do not provide the analyst with any descriptive information about the mode. This paper uses the simple summation type of MIF to develop five averaged and normalised MIFs that will provide the analyst with enough information to identify whether a mode is longitudinal, vertical, lateral or torsional. The first three functions, termed directional MIFs, have been noted in the literature in one form or another; however, this paper introduces a new twist on the MIF by introducing two MIFs, termed torsional MIFs, that can be used by the analyst to identify torsional modes and, moreover, can assist in determining whether the mode is of a pure torsion or sway type (i.e., having a rigid cross-section) or a distorted twisting type. The directional and torsional MIFs are tested on a finite element model based simulation of an experimental modal test using an impact hammer. Results indicate that the directional and torsional MIFs are indeed useful in assisting the analyst to identify whether a mode is longitudinal, vertical, lateral, sway, or torsion. |
Formato |
application/pdf |
Identificador | |
Publicador |
Politecnico di Torino |
Relação |
http://eprints.qut.edu.au/85449/1/Cowled_SHMII_MIF.pdf Cowled, Craig J.L., Thambiratnam, David P., & Chan, Tommy H.T. (2015) A new twist on mode indicator functions. In De Stefano, Alessandro (Ed.) Proceedings of the 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Politecnico di Torino, Torino, Italy. |
Direitos |
Copyright 2015 [Please consult the author] |
Fonte |
School of Civil Engineering & Built Environment; Science & Engineering Faculty |
Tipo |
Conference Paper |