Uncertainty Quantification in Computational Fluid Dynamics (STO-AVT 326) at Stanford University, USA
Date: Thursday 10 October 2019 to Friday 11 October 2019
Location : Stanford University, USA
VKI Lecture Series STO-AVT-236 on Uncertainty Quantification on Computational Fluid Dynamics
The availability of powerful computational resources and general‐purpose numerical algorithms creates increasing opportunities to perform flow simulations in complex systems. This raises several questions: How accurate are the resulting predictions? Are the mathematical and physical models correct? Do we have sufficient information to define relevant operating conditions? In general, how can we establish “error bars” on the results?
At the interface between physics, mathematics, probability and optimization, there have been significant advances in uncertainty quantification (UQ) efforts in computational science over the past decade. This two-day lecture series will present an introduction to UQ in computational fluid dynamics, including lectures on novel methods for optimization under uncertainty and applications.
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.
Thursday 10 October 2019
09:00 AM – 10:30 AM Reflection on UQ techniques and applications
10:45 AM – 12:15 PM Non-intrusive methods for Uncertainty Quantification
01:45 PM – 03:15 PM The curse of dimensionality: problems and strategies
03:30 PM – 05:00 PM Uncertainty Quantification in biomedical applications
Friday 11 October 2019
09:00 AM – 10:30 AM Multifidelity UQ and optimization under uncertainty. Part 1: Monte Carlo-based methods
10:45 AM – 12:15 PM Multifidelity UQ and optimization under uncertainty, Part 2: Surrogate-based methods
01:45 PM– 03:15 PM Generalized polynomial chaos and stochastic collocation methods for UQ in aerodynamics
03:30 PM– 05: 00 PM UQ in computational wind engineering: inflow and turbulence model uncertainties