Chapter: Adaptive Uncertainty Quantification for Computational Fluid Dynamics

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Home > Uncertainty Quantification in Computational Fluid Dynamics > Adaptive Uncertainty Quantification for Computational Fluid Dynamics

Uncertainty Quantification in Computational Fluid Dynamics |

Hester Bijl; Didier Lucor; Siddhartha Mishra; Christoph Schwab

Springer International Publishing

Uncertainty Quantification in Computational Fluid Dynamics

Adaptive Uncertainty Quantification for Computational Fluid Dynamics

Chapter Info

Authors

Richard P. Dwight; Jeroen A. S. Witteveen; Hester Bijl

ARI Id

1664794635219_3250243

Access

Not Available Free

Pages

151-191

DOI

10.1007/978-3-319-00885-1_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-00885-1_4

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xi
Non-intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities	Timothy Barth	1-57
Uncertainty Quantification in Aeroelasticity	Philip Beran; Bret Stanford	59-103
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method	Bruno Després; Gaël Poëtte; Didier Lucor	105-149
Adaptive Uncertainty Quantification for Computational Fluid Dynamics	Richard P. Dwight; Jeroen A. S. Witteveen; Hester Bijl	151-191
Implementation of Intrusive Polynomial Chaos in CFD Codes and Application to 3D Navier-Stokes	Chris Lacor; Cristian Dinescu; Charles Hirsch; Sergey Smirnov	193-223
Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws	Siddhartha Mishra; Christoph Schwab; Jonas Šukys	225-294
Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification	Jeroen A. S. Witteveen; Gianluca Iaccarino	295-333
Back Matter		335-341
Chapters/Headings	Author(s)	Pages	Info

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