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PRELIMINARY DESIGN OF NON-LINEAR SYSTEMS BASED ON GLOBAL SENSITIVITY ANALYSIS AND MODELICA LANGUAGE

Published online by Cambridge University Press:  19 June 2023

Bruno Vuillod*
Affiliation:
French Atomic Energy Commission, Route des Gargails, BP2, Le Barp Cedex, France; Arts et Metiers Institute of Technology, Univ. Bordeaux, CNRS, Bordeaux INP, Hesam Universite, I2M, UMR 5295, F-33400 Talence, France
Enrico Panettieri
Affiliation:
Arts et Metiers Institute of Technology, Univ. Bordeaux, CNRS, Bordeaux INP, Hesam Universite, I2M, UMR 5295, F-33400 Talence, France
Ludovic Hallo
Affiliation:
French Atomic Energy Commission, Route des Gargails, BP2, Le Barp Cedex, France;
Marco Montemurro
Affiliation:
Arts et Metiers Institute of Technology, Univ. Bordeaux, CNRS, Bordeaux INP, Hesam Universite, I2M, UMR 5295, F-33400 Talence, France
*
Vuillod, Bruno, CEA - I2M, France, [email protected]

Abstract

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In the last few years, the growing need of highly reliable and time-effective strategies to perform preliminary design of complex systems has led industries to adopt the Model Based System Engineering (MBSE) approach. In MBSE, systems are split into multiple sub-systems and the relevant physical phenomena are described via analytical or numerical models. When a significant number of design variables are to be considered, a smart approach to reduce the number of analyses to perform would be to make use of the Global Sensitivity Analysis (GSA) to higlight those variables that have a more significant influence on the system output. Moreover, an even more significant reduction of computational cost to perform the GSA can be achieved if the complex system modelled via the MBSE approach is exported under the Functional Mock-Up Interface (FMI) norm. In this context, this paper proposes an original approach to address the study of two constructive solutions of an acceleration measuring device typically used on airbags for which the use of a new solution characterized by a porous material is compared with a classical one.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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