In this paper, a new method of finite element model updating using neural networks is presented. Many previous model updating techniques have exhibited inconsistent performance when subjected to noisy experimental data. From this background it is clear that a successful model updating method must be
FINITE ELEMENT DYNAMIC MODEL UPDATING USING MODAL THERMOELASTIC FIELDS
โ Scribed by L. HUMBERT; F. THOUVEREZ; L. JEZEQUEL
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 488 KB
- Volume
- 228
- Category
- Article
- ISSN
- 0022-460X
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โฆ Synopsis
In this paper, the use of thermoelastic measurements to improve a "nite element model is investigated. The originality of the procedure lies in the use of this stress sum "eld measurement and in the new solution method of the modelling error location stage. Measurement inaccuracies and expansion errors are taken into account through an inequality constraint. Finally, the correction stage is done owing to a variable metric Gauss}Newton method. This updating process has been applied to modal thermoelastic measurements carried out on a thin plate bending with di!erent kinds of defects 1999 Academic Press * *t "r#k GG !3K ยน * GG *t (6) MODEL UPDATING USING THERMOELASTIC DATA
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