Simulation and Modeling of Hypersonic Turbulent Boundary Layers with Varied Reynolds Numbers and Pressure Gradients

Abstract

Hypersonic flight is currently a priority for the US Department of Defense, but technology development in this area is limited by the lack of sufficiently accurate design tools based on the Reynolds-Averaged Naiver Stokes (RANS) framework for the extreme drag andheating associated with high-speed, high Reynolds number turbulent flow in the boundary layer region. The objectives of the proposed work are to (1) perform direct numerical simulations (DNS) of hypersonic turbulent boundary layers with varied Reynolds numbers and pressure gradients for canonical yet Navy relevant flow configurations, and (2) subsequently use the DNS database to characterize boundary-layer physics and evaluate detailed turbulence statistics and flow features that are relevant to both operator-aware and data-driven RANS turbulence models. The PI will work closely with the experimental groups at Texas A&M University and Stevens Institute of Technology to ensure that the unique strengths of experiments and high-fidelity simulations can be exploited in a synergistic fashion for turbulence model development. The research team will also collaborate with turbulence modeling experts to assess the limitations of the currently available turbulence models and explore machine-learning techniques to augment and correct the existing models.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 03, 2023
Source ID
N000142312304

Entities

People

  • Lian Duan

Organizations

  • Office of Naval Research
  • Ohio State University
  • United States Navy

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Fluid Mechanics and Fluid Dynamics.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Hypersonics