von Karman Institute Lecture Series and Events

Uncertainty Quantification in Computational Fluid Dynamics - RTO

Monday 24 October 2011 - Friday 28 October 2011

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UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS

(RTO-AVT-VKI)

From October 24-28, 2011

von Karman Institute, Rhode-St-Genèse, Belgium

VKI-LS

RTO Logo

Increasingly powerful computers enable routine flow simulations in complex systems. How accurate are the resulting predictions? Are the mathematical and physical models correct? Do we have sufficient information to define the operating conditions? In general, how can we establish “error bars” on the results? Uncertainty Quantification (UQ) aims at developing rigorous methods to characterize the impact of “limited knowledge” on quantities of interest.

At the interface of physics, mathematics, probability, and optimization, and although quite mature in the experimental community, UQ efforts are in their infancy in computational science. The objective of this Lecture Series is to introduce UQ to the larger computational fluid dynamics community. The speakers will present lectures on theory, applications and numerical tools with specific focus on the difficulties stemming from the strong non‐linearity and multiscale nature of flow dynamics. Probabilistic analyses are at the core of current UQ approaches, and therefore, the challenges offered, for example by high‐fidelity turbulence flow simulations are multiplied when uncertainty characterization is required. This poses a tremendous burden on computational algorithms but also great opportunities to introduce engineering reasoning and a new paradigm for modeling physical phenomena under uncertainty. The examples will cover broad application areas and several engineering problems ranging from flow over rough boundaries to aerodynamic flutter.

After an introductory presentation, the lectures will be divided in two parts, the first more focused on the theoretical and algorithmic aspects of stochastic CFD computations, the second devoted to applications and results. The directors of this series are Prof. G. Iaccarino, Stanford University and Prof. T. Magin, von Karman Institute for Fluid Dynamics.

TIMETABLE

Monday 24 October 2011

  • 08:45 Registration
  • 09.00 Welcome address Mr. J. Muylaert, Director, von Karman Institute for Fluid Dynamics
  • 09.15 Dr. J. Stewart, Sandia National Laboratories, USA
    Simulation-based predictive science
  • 10:45 Coffee break
  • 11:00 Prof. G. Iaccarino, Stanford University, USA
    Introduction to uncertainty analysis and uncertainty representations
  • 12:30 Lunch break
  • 14:00 Prof. G. Iaccarino
    Non-intrusive uncertainty propagation
  • 15:30 Coffee break
  • 15:45 Dr. T. Barth, NASA Ames Research Center, USA
    Combined discretization in physical and stochastic space, I
  • 17:00 Reception

Tuesday 25 October 2011

  • 09.00 Dr. T. Barth
    Combined discretization in physical and stochastic space, II
  • 10.30 Coffee break
  • 10.45 Dr. O. Le Maitre, The Institute for Computational Engineering and Science, CNRS, France
    Stochastic Galerkin method for the Navier-Stokes equations
  • 12.15 Lunch break
  • 14.00 Dr. O. Le Maitre
    Stochastic Galerkin method for the Navier-Stokes equations
  • 15.30 Coffee break
  • 15.45 Dr. D. Lucor, University Paris VI CNRS, France
    Uncertainty in shock-dominated problems, I

Wednesday 26 October 2011

  • 09:00  Dr. D. Lucor
    Uncertainty in shock-dominated problems, II
  • 10:30 Coffee break
  • 10:45 Prof. H. Bijl, Delft University of Technology, The Netherlands
    Surrogate models and adaptive strategies for uncertainty analysis, I
  • 12:15 Lunch break
  • 14:00 Prof. H. Bijl
    Surrogate models and adaptive strategies for uncertainty analysis, II
  • 15:30 Coffee break
  • 15:45 Prof. C. Lacor, Free University of Brussels, Belgium
    Implementation of stochastic Galerkin methods in CFD codes

Thursday 27 October 2011

  • 09:00 Prof. C. Poloni, University of Trieste, Italy
    Optimization under uncertainty
  • 10:30 Coffee break
  • 10:45 Prof. D. Xiu, Purdue University, USA
  • Stochastic collocation methods
  • 12:15 Lunch break
  • 14:00 Prof. D. Xiu
    Stochastic collocation methods
  • 15:30 Coffee break
  • 15:45 Dr. P. Beran, Air Force Research Laboratory, USA
    Uncertainty in aeroelastic simulations

Friday  28 October 2011

  • 09:00 Dr. P. Beran
    Uncertainty in aeroelastic simulations
  • 10:30 Coffee break
  • 10:45 Dr. S. Prudhomme, ICES, The University of Texas at Austin, USA
    Bayesian inversion for model calibration
  • 12:15 Lunch break
  • 14:00 Dr. S. Prudhomme
    Model validation and uncertainty quantification
  • 15:30 Coffee break
  • 15:45 Prof. C. Hirsch, Free University of Brussels, Belgium
    Non-deterministic simulation for CFD-based design methodologies
  • 17:15 Closing


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Location : von Karman Institute for Fluid Dynamics, Rhode-St-Genèse, Belgium