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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| Andre forfattere: | , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
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Cham :
Springer International Publishing : Imprint: Springer
[20..].
Cham : Springer Nature |
| Serier: | Lecture notes in computational science and engineering
92 |
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Autre contribution : Christoph Schwab (directeur scientifique) Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
Indholdsfortegnelse:
- Timothy Barth: Non-Intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities Philip Beran and Bret Stanford: Uncertainty Quantification in Aeroelasticity Bruno Després, Gaël Poëtte and Didier Lucor: Robust uncertainty propagation in systems of conservation laws with the entropy closure method Richard P. Dwight, Jeroen A.S. Witteveen and Hester Bijl: Adaptive Uncertainty Quantification for Computational Fluid Dynamics Chris Lacor, Cristian Dinescu, Charles Hirsch and Sergey Smirnov: Implementation of intrusive Polynomial Chaos in CFD codes and application to 3D Navier-Stokes Siddhartha Mishra, Christoph Schwab and Jonas Šukys: Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in nonlinear systems of balance laws Jeroen A.S. Witteveen and Gianluca Iaccarino: Essentially Non-Oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification