Uncertainty Quantification in Computational Fluid Dynamics (STO-AVT 326)

Date: Wednesday 17 October 2018 to Friday 19 October 2018

Location : von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode (near Brussels), Belgium
Contact : VKI secretariat, This email address is being protected from spambots. You need JavaScript enabled to view it.; Phone: +32 2 359 96 04



VKI Lecture Series STO-AVT-236 on Uncertainty Quantification on Computational Fluid Dynamics

Probabilistic analyses are at the core of current UQ approaches, and therefore, the challenges offered by complex flow simulations are multiplied when uncertainty characterization is required. The additional requirement for optimization under uncertainty poses a tremendous burden on computational algorithms but also offers 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 the design of heat exchangers to urban flow and dispersion. The lectures range from introductory to more advanced levels and are given by experts in the field. The lecture series is 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.

These lecture series sponsored by the Science & Technology Organization Educational Programme (STO 326) is co-organised by Professor Catherine Gorlé from Stanford University, Professor Gianluca Iaccarino from Stanford University and Professor Thierry Magin from the von Karman Institute for Fluid Dynamics.


Wednesday 17 October 2018

  • 08:30 Registration
  • 09:00 Welcome address 
  • 09:15 Introduction to Uncertainty Quantification
    Dr. Catherine Gorlé, Standford University, U.S.A.
  • 10:45 Coffee Break
  • 11:00 The curse of dimensionality: problems and strategies
    Dr. Zach Del Rosario, Standford University, U.S.A.
  • 12:30 Lunch
  • 14:00 Generalized polynomial chaos and stochastic collocation methods for uncertainty quantification in aerodynamics
    Dr. Jacques Peter, ONERA, France
  • 15:15 Coffee Break
  • 15:45 Polynomial uncertainty quantification in the age of AI
    Dr. Pranay Seshadri, Cambridge University, United Kingdom

Thursday 18 October 2018

  • 09:00 An introduction to Bayesian methods for the calibration of CFD models (part 1)
    Dr. Xavier Merle, Ecole Nationale Supérieure d'Arts et Métiers, France
  • 10:15 Coffee Break
  • 10:45 Application examples: calibration of RANS models and thermodynamic models for real gases (part 2)
    Dr. Xavier Merle, Ecole Nationale Supérieure d'Arts et Métiers, France
  • 12:30 Lunch
  • 14:00 Complexity reduction methods in Bayesian Inference of flow parameters
    Dr. Olivier Le Maitre, CNRS - Laboratoire d'Informatique pour la Mécanique et les Sciences de I’Ingénieur (LIMSI), France
  • 15:15 Coffee Break
  • 15:45 PDE constrained UQ for RANS
    Dr. Wouter Edeling, Centrum Wiskunde & Informatic, The Netherlands

Friday 19 October 2018

  • 09:00 Introduction to Optimization under uncertainties: some examples in CFD
    Dr. Pietro Marco Congedo, INRIA, France
  • 10:15 Coffee Break
  • 10:45 Multilevel Monte Carlo and Quasi Monte Carlo methods for uncertainty quantification
    Dr. Pieterjan Robbe, KU Leuven, Belgium  
  • 12:30 Lunch
  • 14:00 Robust optimization with the multilevel Monte Carlo method 
    Dr. Stefan Vandewalle, KU Leuven, Belgium
  • 15:15 Coffee Break
  • 15:45 Reflection on UQ techniques and applications
    Dr. Gianluca Iaccarino, Stanford University, U.S.A.

Fee & Registration

Register here

Early bird (until September 30, 2018 included)

Lecture Series Early Bird

Normal fee (after September 30, 2018)

Lecture Series Fees

Type 1: Permanents residents of NATO countries funding VKI: Belgium, Bulgaria, Czech Republic, France, Germany, Greece, Hungary, Iceland, Italy, Luxemburg, Norway, Portugal, Romania and Turkey
Type 2: Permanents residents of NATO countries not funding VKI or NATO partners countries
Type 3: Permanents residents of non -NATO countries

For the PhD candidate and undergraduate student: The request to be considered for an award must accompany the application to attend the Lecture Series, and the applicant must provide a recommendation letter from his or her professor; if not done so, the request will not be taken into consideration. All possible alternative sources of funding should be investigated before aid is requested under this scheme, so that those most in need will benefit.

REDUCTION for the normal fee. Not applicable when early bird.

-50% for the 3rd & 4th participant from the same company. The normal fee price list is available here.


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