Stratified Turbulence at High Dynamic Range

Abstract

Stably stratified turbulence (SST) at high buoyancy Reynolds number involves quasi-two-dimensional (Q2D) and fully three-dimensional (3D) inertial ranges. Simulation data show that turbulence in the 3D range causes instabilities in the Q2D range that do not occurat low buoyancy Reynolds number. This leads us to hypothesize that important conclusions drawn from published SST data are likely not relevant to the high Reynolds number and low Froude number regime important to the Navy. Massive-scale direct numerical simulations with up to 17 trillion grid points are proposed to understand the effects of dynamic range, buoyancy Reynolds number, and Prandtl number. Machine learning and automated flow segmentation techniques will be applied to understand the resulting data. Analyses include fully describing vorticity dynamics, closing the energy and vorticity budgets, computing non-linear energy transfers betweenvaries regions in wave number space, and developing closure models for the Reynolds Averaged Navier Stokes (RANS) equations. The results will be applied to improve the Navy s predictions of ship hydrodynamics and in-situ measurements of stratified ocean regions. Approved for Public Release.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 09, 2024
Source ID
N000142412686

Entities

People

  • Stephen De Bruyn Kops

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Massachusetts

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Fluid Mechanics and Fluid Dynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space