Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
559917 | Mechanical Systems and Signal Processing | 2006 | 15 Pages |
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 randomised 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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
J.E. Mottershead, C. Mares, S. James, M.I. Friswell,