Near-wall filtering and splitting the dependent variables in Large Eddy Simulations
Date and Time:
Friday, October 22, 2021 - 16:15
A new formulation for near-wall filtering the Navier-Stokes equations without commutation errors will be detailed in the presentation. In addition, a new split of the dependent variables into large scales and sub-filter scales is formulated where the filtered large scales are not affected by further filtering (i.e. the filtered “filtered scales” are the “filtered scales”), thus removing the Leonard terms from the filtered equations. Finally, closure models for the near-wall effects on the large scales are proposed.
Dr. Nagi N. Mansour earned his Ph.D. in Mechanical Engineering from Stanford University in 1978 where he pioneered one of the earliest Large-Eddy Simulations of a turbulent mixing layer.
Dr. Mansour pioneered the use of direct numerical simulation for turbulence model development, as well as the use of boundary integral methods for studying drop formation in surface-tension driven flows. He is also a pioneer in the development of high-fidelity models for modeling material response to high-enthalpy flows. Dr. Mansour has served in technical management positions including lead of the Physics Simulation and Modeling Office, chief of the Reacting Flow Environments Branch, Chief of the Computational Physics Branch, and as deputy director of the Stanford Center for Turbulence Research, operated jointly with NASA. He is a fellow of the American Physical Society (APS, and associate fellow of the American Institute of Aeronautics and Astronautics (AIAA).
Dr. Mansour’s current research interests include the development of high-fidelity models for Thermal Protection Systems used for spacecraft atmospheric entry, and development of realistic models of plasma with coupled radiative transfer and magneto-hydrodynamics effects on exascale computing systems; large eddy simulations of the solar convection zone, modeling sound propagation in plasma; and the development of emerging magnetic flux models.