Uncertainty Quantification in Computational Fluid Dynamics

Bijl, Hester; Lucor, Didier; Mishra, Siddhartha; Schwab, Christoph

ISBN 10: 3319008846 / ISBN 13: 9783319008844

Published by Springer, 2013

About this Item

Light rubbing to extremities of boards. Some spots of discoloration/soiling along outer text block edge. Seller Inventory # 045241

Bibliographic Details

Title: Uncertainty Quantification in Computational ...

Publisher: Springer

Publication Date: 2013

Binding: Hardcover

Condition: Near Fine

About this title

Synopsis:

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.