PAR3D: Numerical Model for Incompressible Flow with Application to Aerosol Dispersion in Complex Enclosures

Abstract

Abstract: This report documents the development of the PAR3D numerical flow model, with emphasis on modifications incorporated to facilitate simulations of contaminant dispersion in complex buildings and other enclosures. PAR3D is a general-purpose computational fluid dynamics (CFD) code for predicting three-dimensional flow and transport in air, water, and other incompressible fluids. It includes a two-equation turbulence model with adjustments for buoyancy, as well as transport equations for suspended materials (contaminants), dissolved gases, and gas bubbles (in water). The code employs parallel processing with structured curvilinear grids, which may deform to accommodate quasistatic free-surface displacement in water. The CFD applications included here concern air flow and aerosol dispersion inside two different man-made enclosures. These consist of single chambers with complex internal geometry, but PAR3D is applicable to multi-chamber enclosures as well. The reported developments are part of a larger computational and experimental effort to characterize the dispersion of contaminants in multi-room, multi-story buildings. Comparison of PAR3D predictions with experimental data from a multiroom test facility will be presented in a separate report.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA471741

Entities

People

  • Mario J. Sanchez
  • Phu V. Luong
  • Robert S. Bernard

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Flow
  • Boltzmann Equation
  • Boundary Layer
  • Buoyancy
  • Computational Fluid Dynamics
  • Computer Programs
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Hydrodynamics
  • Incompressible Flow
  • Mechanical Properties
  • Physics Laboratories
  • Standing Waves
  • Three Dimensional
  • Turbulent Mixing

Readers

  • Computational Fluid Dynamics (CFD)
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Thermal Physics or Thermal Science.