VV 2014 - Symposium on Verification and Validation (V&V) of Computational Fluid Dynamics

Organizer: Tao Xing, Ph.D., Assistant Professor, Department of Mechanical Engineering, College of Engineering, University of Idaho, EP 324F, 875 Perimeter Drive MS 0902, Moscow, Idaho 83844-0902, United States; Phone: 001-208-885-9032; Fax: 001-208-885-9031. Web: http://www.taoxing.net
E-mail: xing-AT-uidaho.edu
With the dramatic increase of computing power, simulation based design using computational fluid dynamics (CFD), and ultimately virtual reality, has become increasingly important in science and engineering practice. Due to the discretization errors of the numerical methods and approximations of the models used in CFD, errors and associated uncertainties for CFD simulations must be carefully estimated before the simulation results can be used for design in industrial applications. Traditional methods for estimating numerical errors (verification) and modeling errors (validation) are only applicable to Reynolds-averaged Navier-Stokes (RANS) equations and they have advantages and disadvantages. New challenge is how to develop new V&V methodology and procedures for multiscale models such as large eddy simulation (LES) and some twophase models (e.g., dispersed bubbly flow) where the numerical and modeling errors are strongly coupled and may cancel each other out.
Topics of interest include, but not limited to:
Code verification
Solution verification
Validation
Richardson Extrapolation
Strategies of achieving the asymptotic range
Numerical benchmarks for V&V
V &V RANS
V & V for LES
V & V for hybrid RANS/LES
Optimization of CFD for minimum simulation error
V&V for two-phase or multi-phase flows
Single-grid method
Variants of grid convergence index (GCI) method
Least square method
Correction factor method
Factors of safety method
Statistical analysis for reliability and conservativeness of V&V methods
Expert network for building extensive database for V&V