Computational Modeling of a Time-Independent, Heterogeneous Reactor Core Using Simplified Discrete Ordinates Neutron Transport Techniques

Abstract

The Linear Characteristic (LC) method on rectangular boxoid meshes is a discrete ordinate neutron transport technique that uses both zeroth and first moments of the angular neutron flux to construct a relatively accurate representation of neutron particle distributions in a given medium. The significant number of calculations required by LC when compared to more conventional methods such as Diamond Difference vastly increases computational time by a factor of 60 (or minutes to hours). A modified extrapolation, linear acceleration method with iterative shooting capability was adapted along with approximated initial guesses to the scalar flux to effectively reduce LC computational times by as much as 70% to 90%. Unlike conventional methods that contain instabilities and errors that are accentuated and magnified at optically thick boundaries, the LC method calculated stable consistent flux results through boundary regions of varying absorptive materials. The inherently computationally intensive linear algebra used by the LC method was simplified using FORTRAN 90/95 programming commands designed to optimize vector and matrix calculations and reduce and simplify the overall source code.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA396827

Entities

People

  • Kristofer S. Labowski

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Boltzmann Equation
  • Cartesian Coordinates
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Differential Equations
  • Diffusion Theory
  • Equations
  • Fission
  • Neutron Transport Theory
  • Nuclear Reactors
  • Numerical Analysis
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Calculus or Mathematical Analysis
  • Computational Fluid Dynamics (CFD)
  • Nuclear and Radiation Engineering.