Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session P20: Computational Fluid Dynamics
2:30 PM–4:18 PM,
Wednesday, March 4, 2020
Room: 301
Sponsoring
Unit:
DFD
Chair: Anand Oza, New Jersey Inst of Tech
Abstract: P20.00005 : Data-driven A priori analysis of sub-grid scale stress closures
Presenter:
Aviral Prakash
(University of Colorado, Boulder)
Authors:
Aviral Prakash
(University of Colorado, Boulder)
Kenneth Jansen
(University of Colorado, Boulder)
John A Evans
(University of Colorado, Boulder)
increased use of scale-resolving simulation techniques such as Large-Eddy Simulations
(LES) by industries. These techniques involve the use of a model to account for the
effect of small-scale unresolved turbulence structures on large scale resolved
structures. The most commonly used models are often based on simplified assumptions
such as gradient viscosity hypothesis and turbulence quasi-equilibrium and often fail to
replicate higher-order statistics.
This talk will discuss the use of a data-driven approach i.e. neural nets for determining a
functional mapping that governs the physics behind the problem. We present an A priori
study conducted on the homogeneous isotropic turbulence to determine a model for
modeling sub-grid scale stress tensor and compare it with common gradient-viscosity
hypothesis based models. A comparison of higher-order statistics will shed light on the
universality of small-scale turbulent flow structures as hypothesized by Kolmogorov
1941 theory. The importance of selecting correct input features and the design of the
model form for obtaining a physically-consistent relation will also be discussed.
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