Comptes Rendus
no. 8
Computational modeling of material forming processes / Simulation numérique des procédés de mise en forme
Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes
Maarten Arnst1  ; Jean-Philippe Ponthot1 ; Romain Boman1
1 Université de Liège, Aérospatiale et Mécanique, Quartier Polytech, 1, allée de la Découverte 9, B-4000 Liège, Belgium
Comptes Rendus. Mécanique, Computational modeling of material forming processes Simulation numérique des procédés de mise en forme, Volume 346 (2018) no. 8, pp. 634-646.

Various sources of uncertainty can arise in metal forming processes, or their numerical simulation, or both, such as uncertainty in material behavior, process conditions, and geometry. Methods from the domain of uncertainty quantification can help assess the impact of such uncertainty on metal forming processes and their numerical simulation, and they can thus help improve robustness and predictive accuracy. In this paper, we compare stochastic methods and interval methods, two classes of methods receiving broad attention in the domain of uncertainty quantification, through their application to a numerical simulation of a sheet metal forming process.

Reçu le :
Accepté le :
Publié le :
DOI : 10.1016/j.crme.2018.06.007
Mots-clés : Metal forming, Uncertainty quantification, Stochastic methods, Interval methods, Sensitivity analysis, Parameter study

Maarten Arnst 1 ; Jean-Philippe Ponthot 1 ; Romain Boman 1

1 Université de Liège, Aérospatiale et Mécanique, Quartier Polytech, 1, allée de la Découverte 9, B-4000 Liège, Belgium 
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Maarten Arnst; Jean-Philippe Ponthot; Romain Boman. Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes. Comptes Rendus. Mécanique, Computational modeling of material forming processes
Simulation numérique des procédés de mise en forme, Volume 346 (2018) no. 8, pp. 634-646. doi : 10.1016/j.crme.2018.06.007. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.1016/j.crme.2018.06.007/

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