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Model validation in the presence of uncertain experimental data

par Deraemaeker, Arnaud ;Ladevèze, Pierre;Romeuf, Thierry
Référence Engineering computations, 21, 8, page (808-833)
Publication Publié, 2004

Article révisé par les pairs

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Résumé :

In this paper, we discuss the application of the constitutive relation error (CRE) to model updating and validation in the context of uncertain measurements. First, a parallel is drawn between the CRE method and a general theory for inverse problems proposed by Tarantula. Then, an extension of the classical CRE method considering uncertain measurements is proposed. It is shown that the proposed mechanics-based approach for model validation is very effective in filtering noise in the experimental data. The method is applied to an industrial structure, the SYLDA5, which is a satellite support for Ariane5. The results demonstrate the robustness of the method in actual industrial situations.