From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

arXiv:2306.01776v3 Announce Type: replace-cross
Abstract: Simulations of turbulent flows in 3D are one of the most expensive simulations in computational fluid dynamics (CFD). Many works have been written on surrogate models to replace numerical solvers for fluid flows with faster, learned, autoregressive models. However, the intricacies of turbulence in three dimensions necessitate training these models with very small time steps, while generating realistic flow states requires either long roll-outs with many steps and significant error accumulation or starting from a …

abstract arxiv autoregressive models cfd computational cs.lg dynamics faster flow fluid dynamics generative generative modeling however modeling numerical physics.flu-dyn simulation simulations turbulence type