System reliability of randomly vibrating structures: Computational modeling and laboratory testing

Sundar, VS and Ammanagi, S and Manohar, CS (2015) System reliability of randomly vibrating structures: Computational modeling and laboratory testing. In: JOURNAL OF SOUND AND VIBRATION, 351 . pp. 189-205.

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Abstract

The problem of determination of system reliability of randomly vibrating structures arises in many application areas of engineering. We discuss in this paper approaches based on Monte Carlo simulations and laboratory testing to tackle problems of time variant system reliability estimation. The strategy we adopt is based on the application of Girsanov's transformation to the governing stochastic differential equations which enables estimation of probability of failure with significantly reduced number of samples than what is needed in a direct simulation study. Notably, we show that the ideas from Girsanov's transformation based Monte Carlo simulations can be extended to conduct laboratory testing to assess system reliability of engineering structures with reduced number of samples and hence with reduced testing times. Illustrative examples include computational studies on a 10 degree of freedom nonlinear system model and laboratory/computational investigations on road load response of an automotive system tested on a four post Lest rig. (C) 2015 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Publication:	JOURNAL OF SOUND AND VIBRATION
Publisher:	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Additional Information:	Copy right for this article belongs to the ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	06 Jul 2015 05:55
Last Modified:	06 Jul 2015 05:55
URI:	http://eprints.iisc.ac.in/id/eprint/51801

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