Uncertainty quantification in computational fluid dynamics

Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review art...

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Auteur principal: Bijl, Hester
Autres auteurs: Lucor, Didier, 19..- (Directeur de la publication), Miśra, Siddhinandana (Directeur de la publication), Schwab, Christoph, 1962- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Cham : Springer International Publishing : Imprint: Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computational science and engineering 92
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Note: Autre contribution : Christoph Schwab (directeur scientifique)
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Edition sous un autre format:• Uncertainty quantification in computational fluid dynamics, Hester Bijl, Didier Lucor, Siddhartha Mishra... [et al.] editors, 2013, Berlin, Springer, 1 vol. (XI-333 p.), Lecture notes in computational science and engineering, 978-3-319-00884-4, Texte imprimé
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Résumé:Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches
Description:Autre contribution : Christoph Schwab (directeur scientifique)
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783319008851
ISSN:1439-7358
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