Uncertainty Quantification in Computational Fluid Dynamics
Language: English
Published by Springer, New York, 2010
Series: Book 68 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- Used
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Light wear and soiling to pictorial boards. Corners slightly rubbed and bumped. Light soiling to text block edges. Pages appear free of writing / highlighting.
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- Title
- Uncertainty Quantification in Computational Fluid Dynamics
- Author
- Barth, T. J. et al.
- Publisher
- Springer, New York
- Publication year
- 2010
- Condition
- Very good
- Binding
- Hardcover, 333 pages
- Language
- English
- ISBN 10
- 3319008846
- ISBN 13
- 9783319008844
- Series
- Book 68 of 111: Lecture Notes in Computational Science and Engineering
- Seller catalogs
- Science
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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