MATHICSE Technical Report : Continuation Multi-Level Monte-Carlo method for Uncertainty Quantification in Turbulent Compressible Aerodynamics Problems modeled by RANS
Pisaroni, Michele; Nobile, Fabio; Leyland, Pénélope; MATHICSE-Group
2017

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Résumé

In this technical report we apply the Continuation Multi Level Monte Carlo (C-MLMC) algorithm to efficiently propagate operating and geometric uncertainties in internal and external aerodynamic simulations modeled by RANS. In particular, we discuss the construction of suitable mesh hierarchies and test the C-MLMC algorithm on the 2D RAE-2822 transonic airfoil and the 3D NASA Rotor 37 affected by operating uncertainties

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Titre MATHICSE Technical Report : Continuation Multi-Level Monte-Carlo method for Uncertainty Quantification in Turbulent Compressible Aerodynamics Problems modeled by RANS
Auteur(s) Pisaroni, Michele ; Nobile, Fabio ; Leyland, Pénélope ; MATHICSE-Group
Pagination 19
Date 2017-05-11
Editeur Écublens, MATHICSE
Mots-clés (libres)
Note MATHICSE Technical Report Nr. 10.2017 May 2017
DOI https://doi.org/10.5075/epfl-MATHICSE-228214
Laboratoires CSQI
Le document apparaît dans Production scientifique et compétences > SB - Faculté des sciences de base > MATH - Institut de mathématiques > CSQI - Calcul scientifique et quantification de l'incertitude
Working papers
Travail produit à l'EPFL
Date de création de la notice 2017-05-13

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