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Model validation in the presence of uncertain experimental data (2004)

Deraemaeker, A. ; Ladevèze, P. ; Romeuf, T.

Bradford : Emerald

Engineering computations 21 (2004), S. 808-833

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ISSN: 0264-4401

Source: Emerald Fulltext Archive Database 1994-2005

Topics: Technology

Notes: 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 Tarantola. 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.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1108/02644400410554335

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