Surface Temperature Prediction of a Bridge for Tactical Decision Aide Modelling

Abstract

The focus of this research is to develop predictive techniques for determining the surface temperature of bridge type structures using known or assumed weather data. This technique would be used in Tactical Decision Aide (TDA) models. TDAs are used to provide military field commanders information about the apparent contrast between a target and its background. Having this information before deployment increases the effectiveness of infrared guided missiles, or helps the field commander make an informed decision about the type of weapons to use. The model for this effort was one dimensional Runge-Kutta analysis of the heat flow equations. However, these predictions were typically for small objects such as vehicles or concrete bunkers. Modelling large objects such as bridges presents certain difficulties as noted by Goldman and coworkers. This effort concentrated on predicting the internal temperature profile of a bridge for the purpose of stress analysis. However, the method used is directly related to this effort because the internal temperature profile is dependent on the surface temperature. Thepchatri and coworkers used two types of models: a one dimensional finite difference form of the heat flow equation, and a two dimensional finite element analysis of the heat flow.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA196696

Entities

People

  • Paul T. Cross Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Detectors
  • Differential Equations
  • Diffusivity
  • Engineering
  • Equations
  • Heat Transfer
  • Heat Transmission
  • Measurement
  • Military Research
  • Physical Properties
  • Plastic Explosives
  • Students
  • Surface Properties
  • Surface Temperature
  • Tactical Decision Aids
  • Thermal Conductivity
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Fluid Dynamics.
  • Systems Analysis and Design