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Uncertainty Quantification in Computational Fluid Dynamics
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Uncertainty Quantification in Computational Fluid Dynamics

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Description

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.
Release date NZ
August 23rd, 2016
Audience
  • Professional & Vocational
Contributors
  • Edited by Christoph Schwab
  • Edited by Didier Lucor
  • Edited by Hester Bijl
  • Edited by Siddhartha Mishra
Edition
Softcover reprint of the original 1st ed. 2013
Illustrations
115 Illustrations, color; 73 Illustrations, black and white; XI, 333 p. 188 illus., 115 illus. in color.
Pages
333
Dimensions
155x235x19
ISBN-13
9783319346663
Product ID
25684348

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