Prediction of Building Debris for Quantity-Distance Siting

Abstract

An analytical model is presented to predict hazardous building debris distances for accidental explosions within explosives material operations buildings. The model was developed for the U.S. Department of Energy (DOE) safety Office under funding by DOE and the U.S. Department of Defense Explosives Safety Board (DDESB) to provide an approved method for determining siting distances for explosive loading conditions and building construction types most common to DOE facilities. It can be used to predict hazardous debris distances using similar loading conditions in buildings constructed of reinforced concrete, masonry (clay tiles or concrete masonry units), lightweight components such as corrugated metal, or a combination of these materials. Thus, the model is useful to both the DOE and the Department of Defense (DoD) explosives safety community. Verification and refinement of the model are based on data from and extensive test program. The analytical model is a flexible, component based predictive tool, verified with data, which can be used to site explosives operations according to predicted hazardous debris distances. The model is intended for general use within the constraints discussed in this document.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1991
Accession Number
ADA239054

Entities

Organizations

  • United States Department of Defense

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Compressive Strength
  • Computers
  • Construction
  • Department Of Defense
  • Explosions
  • Explosives
  • Information Science
  • Multiplication Factor
  • Predictive Modeling
  • Probability Distributions
  • Reinforced Concrete
  • Statistical Analysis
  • Statistical Sampling
  • Test Beds
  • Test Fixtures
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Environmental Engineering.
  • Pavement Materials Engineering.