Uncertainty Quantification in Computational Fluid Dynamics

種類:

電子ブック

責任表示:

edited by Hester Bijl, Didier Lucor, Siddhartha Mishra, Christoph Schwab

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2013

著者名:

• Bijl, Hester
• Lucor, Didier
• Mishra, Siddhartha
• Schwab, Christoph
• SpringerLink (Online service)

シリーズ名:

Lecture Notes in Computational Science and Engineering ; 92

ISBN:

9783319008851 [3319008854]    

注記:

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

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