Surrogate Fluid Dynamics
Abstract
Fluid dynamic behavior stems from fundamental physical principles that may be approximated by nonlinear partial-differential equations. The present goal is to study turbulent mixing of initially separate fluids over a range of space scales that is broader than practical with current Computational Fluid Dynamics (CFD) models. This paper introduces a surrogate model for this fluid dynamic behavior that is based more directly on algorithms enacting these fundamental physical principles. Surrogate Fluid Dynamics (SFD) is more efficiently computable than present CFD approaches based on the Navier-Stokes equations and their varied numerical representations. As a result, SFD makes it possible to explore parameter regimes and interactions that are difficult to simulate using CFD. Most of the degrees of freedom in current turbulence simulations represent the small scales of motion that have only a small fraction of the total kinetic energy. SFD addresses this issue by employing a logarith mick-space grid for the turbulent spectrum and a diffusion-free Lagrangian algorithm for the flow. This paper presents a composite model driving SFD with the Coherent Structure Dynamics (CSD) non-equilibrium turbulence model and discusses the pros and cons of this new approach.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 2022
- Accession Number
- AD1173788
Entities
People
- Jay Boris
Organizations
- United States Naval Research Laboratory