| Description |
1 online resource (xi, 333 pages) : illustrations (some color) |
| Series |
Lecture Notes in Computational Science and Engineering, 1439-7358 ; 92 |
|
Lecture notes in computational science and engineering ; 92. 1439-7358
|
| Contents |
Non-intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities / Timothy Barth -- Uncertainty Quantification in Aeroelasticity / Philip Beran and Bret Stanford -- Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method / Bruno Després, Gaël Poëtte and Didier Lucor -- Adaptive Uncertainty Quantification for Computational Fluid Dynamics / Richard P. Dwight and Jeroen A.S. Witteveen -- Implementation of Intrusive Polynomial Chaos in CFD Codes and Application to 3D Navier-Stokes / Chris Lacor and Cristian Dinescu -- Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws / Siddhartha Mishra and Christoph Schwab -- Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification / Jeroen A.S. Witteveen and Gianluca Iaccarino |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Online resource; title from PDF title page (SpringerLink, viewed September 24, 2013) |
| In |
Springer eBooks |
| Subject |
Computational fluid dynamics
|
|
Uncertainty -- Mathematical models.
|
|
computer science.
|
|
data processing.
|
|
TECHNOLOGY & ENGINEERING -- Engineering (General)
|
|
TECHNOLOGY & ENGINEERING -- Reference.
|
|
Computational fluid dynamics
|
|
Uncertainty -- Mathematical models
|
| Form |
Electronic book
|
| Author |
Bijl, Hester, editor
|
| ISBN |
9783319008851 |
|
3319008854 |
|
3319008846 |
|
9783319008844 |
|
