Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models

• Main Authors: Meena, Muralikrishnan Gopalakrishnan, Liousas, Demetri, Simin, Andrew D, Kashi, Aditya, Brewer, Wesley H, Riley, James J, Kops, Stephen M. de Bruyn
• Format: Journal Article
• Language: English
• Published: 24.04.2024
• Subjects: Computer Science - Learning; Physics - Atmospheric and Oceanic Physics; Physics - Fluid Dynamics

We develop time-series machine learning (ML) methods for closure modeling of the Unsteady Reynolds Averaged Navier Stokes (URANS) equations applied to stably stratified turbulence (SST). SST is strongly affected by fine balances between forces and becomes more anisotropic in time for decaying cases....