Lecture Notes in Computational Science and Engineering

Uncertainty Quantification in Computational Fluid Dynamics

Editors: Bijl, H., Lucor, D., Mishra, S., Schwab, C. (Eds.)

  • Presentation of the highly relevant issue of UQ in CFD
  • A broad spectrum of methods to efficiently compute uncertainty
  • Large number of numerical examples as verification of the proposed methods and their possible comparison​
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About this book

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.

Table of contents (7 chapters)

  • Non-intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities

    Barth, Timothy

    Pages 1-57

  • Uncertainty Quantification in Aeroelasticity

    Beran, Philip (et al.)

    Pages 59-103

  • Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method

    Després, Bruno (et al.)

    Pages 105-149

  • Adaptive Uncertainty Quantification for Computational Fluid Dynamics

    Dwight, Richard P. (et al.)

    Pages 151-191

  • Implementation of Intrusive Polynomial Chaos in CFD Codes and Application to 3D Navier-Stokes

    Lacor, Chris (et al.)

    Pages 193-223

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-00885-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-00884-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-34666-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Uncertainty Quantification in Computational Fluid Dynamics
Editors
  • Hester Bijl
  • Didier Lucor
  • Siddharta Mishra
  • Christoph Schwab
Series Title
Lecture Notes in Computational Science and Engineering
Series Volume
92
Copyright
2013
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-00885-1
DOI
10.1007/978-3-319-00885-1
Hardcover ISBN
978-3-319-00884-4
Softcover ISBN
978-3-319-34666-3
Series ISSN
1439-7358
Edition Number
1
Number of Pages
XI, 333
Number of Illustrations and Tables
73 b/w illustrations, 115 illustrations in colour
Topics