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Model validation in the presence of uncertain experimental data

A. Deraemaeker (LMT‐Cachan, Cachan, France)
P. Ladevèze (LMT‐Cachan, Cachan, France)
T. Romeuf (EADS Launch Vehicles, Les Mureaux, France)

Engineering Computations

ISSN: 0264-4401

Article publication date: 1 December 2004

Abstract

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.

Keywords

Citation

Deraemaeker, A., Ladevèze, P. and Romeuf, T. (2004), "Model validation in the presence of uncertain experimental data", Engineering Computations, Vol. 21 No. 8, pp. 808-833. https://doi.org/10.1108/02644400410554335

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited