A Numerical Study of High-Speed Missile Configurations Using a Block- Structured Parallel Algorithm

Abstract

A numerical analysis of the aerodynamic phenomena associated with the high-speed flight of a sharp-nosed, four-finned, high-fineness ratio missile using a block-structured, parallel computer algorithm is presented. The algorithm, PANS-3EM, utilizes a second-order-accurate, shock-capturing, Total Variation Diminishing scheme and incorporates a Baldwin-Lomax turbulence model. PANS-3EM allows for extreme flexibility in the choice of computational domain decomposition and computing machine of implementation. Developmental work consists of conceptualization and verification of the algorithm as well as parallel performance and scalability studies conducted on a variety of computing platforms. Using PANS-3EM, the aerodynamic characteristics of the missile are investigated. Drag and pitching moment coefficients are computed and compared against experimental flight data. Trends in the numerical data agree with experimental results with the exception that an unexpected reversal of the stability characteristics exhibited by the missile at speeds in excess of Mach 3.75 are not confirmed by the computer code.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA273776

Entities

People

  • Douglas C. Blake

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Air Force
  • Boundary Layer
  • Central Processing Units
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Equations
  • Fluid Dynamics
  • Fluid Flow
  • Intercontinental Ballistic Missiles
  • Operating Systems
  • Parallel Computing
  • Performance Tests
  • Three Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.
  • Parallel and Distributed Computing.