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Uncertainty Quantification for Robust Design

Régis Duvigneau 1 Massimiliano Martinelli 2 Praveen Chandrashekarappa 1 
1 OPALE - Optimization and control, numerical algorithms and integration of complex multidiscipline systems governed by PDE
CRISAM - Inria Sophia Antipolis - Méditerranée , JAD - Laboratoire Jean Alexandre Dieudonné : UMR6621
2 TROPICS - Program transformations for scientific computing
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The objective of this chapter is to present, analyze and compare some practical methods that could be used in engineering to quantify uncertainty, for mechanical systems governed by partial differential equations. Most applications refer to aerodynamics, but the methods described in this chapter can be applied easily to other disciplines, such as structural mechanics.
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Submitted on : Thursday, November 18, 2010 - 11:58:04 AM
Last modification on : Thursday, August 4, 2022 - 4:52:47 PM
Long-term archiving on: : Friday, October 26, 2012 - 3:55:32 PM


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  • HAL Id : inria-00537339, version 1



Régis Duvigneau, Massimiliano Martinelli, Praveen Chandrashekarappa. Uncertainty Quantification for Robust Design. Piotr Breitkopf and Rajan Filomeno Coelho. Multidisciplinary Design Optimization in Computational Mechanics, ISTE - Wiley, 2010. ⟨inria-00537339⟩



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