Stochastic Model Updating: Part 2 - Application to a Set of Physical Structures

JE Mottershead (University of Liverpool), C Mares (Brunel University), S James (University of Liverpool) & MI Friswell (University of Bristol)

Mechanical Systems and Signal Processing, Vol. 20, No. 8, November 2006, pp. 2171-2185

Abstract

The application of a stochastic model updating technique using Monte-Carlo inverse propagation and multivariate multiple regression to converge a set of analytical models with randomized updating parameters upon a set of nominally identical physical structures is considered. The structure in question is a short beam manufactured from two components, one of folded steel and the other flat. The two are connected by two rows of spot welds. The main uncertainty in the model is concerned with the spot weld but there is also considerable manufacturing variability, principally in the radii of the folds.

Paper Availability

This material has been published in the Mechanical Systems and Signal Processing, Vol. 20, No. 8, November 2006, pp. 2171-2185, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by the Elsevier.


Link to paper using doi:10.1016/j.ymssp.2005.06.007

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