Using Machine Learning to Augment Coarse-Grid Computational Fluid
Dynamics Simulations
- URL: http://arxiv.org/abs/2010.00072v2
- Date: Sat, 3 Oct 2020 19:22:53 GMT
- Title: Using Machine Learning to Augment Coarse-Grid Computational Fluid
Dynamics Simulations
- Authors: Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau,
Thorsten Kurth, Marcus Day
- Abstract summary: We introduce a machine learning (ML) technique that corrects the numerical errors induced by a coarse-grid simulation of turbulent flows at high-Reynolds numbers.
Our proposed simulation strategy is a hybrid ML-PDE solver that is capable of obtaining a meaningful high-resolution solution trajectory.
- Score: 2.7892067588273517
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Simulation of turbulent flows at high Reynolds number is a computationally
challenging task relevant to a large number of engineering and scientific
applications in diverse fields such as climate science, aerodynamics, and
combustion. Turbulent flows are typically modeled by the Navier-Stokes
equations. Direct Numerical Simulation (DNS) of the Navier-Stokes equations
with sufficient numerical resolution to capture all the relevant scales of the
turbulent motions can be prohibitively expensive. Simulation at
lower-resolution on a coarse-grid introduces significant errors. We introduce a
machine learning (ML) technique based on a deep neural network architecture
that corrects the numerical errors induced by a coarse-grid simulation of
turbulent flows at high-Reynolds numbers, while simultaneously recovering an
estimate of the high-resolution fields. Our proposed simulation strategy is a
hybrid ML-PDE solver that is capable of obtaining a meaningful high-resolution
solution trajectory while solving the system PDE at a lower resolution. The
approach has the potential to dramatically reduce the expense of turbulent flow
simulations. As a proof-of-concept, we demonstrate our ML-PDE strategy on a
two-dimensional turbulent (Rayleigh Number $Ra=10^9$) Rayleigh-B\'enard
Convection (RBC) problem.
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