Lattice Model of Fluid Turbulence

Abstract

The kinetic lattice gas is an optimal model of a vast many-particle system (such as a fluid) with complicated particle-particle interactions and irregular boundary conditions. With it the fluid dynamicist can achieve higher nonlinearity (measured by Reynolds number), unconditional stability and accuracy, with less memory and processor time than with other models of turbulence for situations with tortuous boundaries. For an engineer, it is simple to code, runs perfectly on parallel supercomputers, and is suited to a plethora of computational physics applications. As demonstrated here, it is a competitive alternative to large eddy simulations with Smagorinsky sub-grid closure. To theorists and experimentalists in quantum information science, its kinetic transport equation is a special case of the quantum dynamics, particularly governing a parallel array of quantum processors, a type-II quantum computer architecture. Presented are turbulent fluid simulations using the kinetic lattice gas model carried out on the supercomputer BABBAGE. As an illustration of the efficiency of the lattice model, presented is a discovery of a universal range in the morphological evolution of the laminar-to-turbulent flow transition: the breaking subrange.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA485151

Entities

People

  • George Vahala
  • Jeffrey Yepez
  • Linda Vahala
  • Min Soe
  • Sean Ziegeler

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Application Software
  • Boltzmann Equation
  • Computational Fluid Dynamics
  • Computers
  • Equations
  • Fluid Dynamics
  • Fluid Flow
  • Information Processing
  • Information Science
  • Large Eddy Simulation
  • Quantum Computers
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Simulations
  • Turbulent Flow

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • Quantum Computing