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
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.
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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