Dynamic DNS/LES of Transition and Turbulence in High-Speed Flows and Flow-Structure Interactions

Abstract

The purpose of this research is to develop a dynamic simulation approach to perform efficient large scale simulations of full aircraft configurations, with the capability of including six-degrees-of-freedom (6-DOF) corresponding to realistic aeroelastic motions. While there has been some progress in the aeroelastic problem in previous efforts, the flow component has been crudely modeled using either Euler inviscid description or the Reynolds averaged Navier-Stokes equations, both of which have proven to be inaccurate and thus inadequate for the Air Force needs. The emphasis of the completed work has been on capturing very accurately the vorticity generation process and the unsteady three-dimensional separation phenomena on the body by resolving all energetic flow scales in the near-wall and near-wake regions. Away from the body a subgrid model will be used to account for the reduced resolution. A new simulation paradigm has been developed for such flows employing the concept of dynamic simulation based on surgical p-refinement for transitional and turbulent flows at high speed, where significantly energetic flow scales are resolved dynamically as they are convected downstream or as new structures are generated and shed off from the body.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 2000
Accession Number
ADA390165

Entities

People

  • George Karniadakis

Organizations

  • Brown University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Computational Fluid Dynamics
  • Computational Science
  • Equations
  • Flow
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Galerkin Method
  • Geometry
  • Mathematical Analysis
  • Mathematics
  • Mechanics
  • Navier Stokes Equations
  • Simulations
  • Three Dimensional
  • Turbulence

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Fluid Mechanics and Fluid Dynamics.
  • Robotics and Automation.