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Více informací o knize Uncertainty Quantification in Computational Fluid Dynamics

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Nákupem získáte 331 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Mechanical engineering & materials Materials science

• Plný název: Uncertainty Quantification in Computational Fluid Dynamics
• Autor: Hester Bijl, Didier Lucor, Siddharta Mishra, Christoph Schwab
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 333
• EAN: 9783319008844
• ISBN: 3319008846
• ID: 01469031
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 6565 g
• Rozměry: 235 × 155 × 24 mm
• Datum vydání: 21. September 2013

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