𝔖 Bobbio Scriptorium
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ON A STATISTICAL OPTIMIZATION METHOD USED IN FINITE ELEMENT MODEL UPDATING

✍ Scribed by HUA HONGXING; H. SOL; DE W.P. WILDE

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
104 KB
Volume
231
Category
Article
ISSN
0022-460X

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✦ Synopsis

Bayesian estimator is a commonly used statistical optimization technique for "nite element model updating. This paper presents a modi"ed Bayesian estimator and discusses its unbiasedness, e$ciency, learning ability and robustness. The main di!erences from other estimators, for instance, the least-squares method, are shown. The new Bayesian estimator can also be used as a multi-objective, multi-design variable optimization method. An example is presented to demonstrate its features.

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