Procedures for the Collection, Analysis, and Interpretation of Explosion-Produced Debris

Abstract

As predictive models for explosion-produced debris become available, a need exists for experimental data against which these models may be validated. In addition, a firm database is required for the definition of debris-related explosive-safety quantity-distances. In the past, the debris collection and recording techniques used in tests have varied from the inadequate to the obsessive. It became evident during recent attempts at collating debris data that, independent of the thoroughness of approach, debris information was often difficult or impossible to analyze such that test-to-test comparisons could be made. A controlled and well-defined methodology was needed to overcome these problems. At the request of the NATO AC/258 Storage Sub-Group, the authors have prepared this document which, it is hoped, will form the first step in achieving some uniformity of approach to debris data collection and recording. The paper provides a bibliography of currently available explosion debris information and discusses various methods that may be used to collect and catalog debris information. As the data collection process starts at the test planning stage, it is at this point that the recommendations commence. The paper concludes by presenting and discussing algorithms that may be used to analyze the data.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1998
Accession Number
ADA497633

Entities

People

  • Michael J. Gould
  • Michael. M. Swisdak Jr

Organizations

  • Naval Surface Warfare Center Indian Head Division

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accident Investigations
  • Accidents
  • Accuracy
  • Aerial Photography
  • Cameras
  • Energetic Materials
  • Explosions
  • Explosives
  • Global Positioning Systems
  • Materials
  • Materials Testing
  • Measurement
  • Photographs
  • Photography
  • Predictive Modeling
  • Risk
  • Risk Analysis

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Explosive Engineering.
  • Systems Analysis and Design