Underwater Munitions Expert System: Preliminary Design Report

Abstract

This document describes the rationale for, and preliminary design of a computerbased probabilistic expert system to predict the likelihood of burial and migration of abandoned underwater munitions. The objective of this project is to develop a computerbased probabilistic expert system that synthesizes recent and new research to model munitions burial and mobility in a range of underwater environments. As there are numerous inland water and coastal sites contaminated with UXO, to support planning for efficient site remediation, it is important to have a predictive mechanism for identifying the locations and degree of burial of extant UXO. Key to providing this predictive capability is knowledge of the process and time scales for the scour, burial, reexposure, migration, and subsequent reburial of UXO resident in the sediments at the sites of interest.

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Document Details

Document Type
Technical Report
Publication Date
Aug 21, 2015
Accession Number
AD1000200

Entities

People

  • Alan Brandt
  • Sarah E. Rennie

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programs
  • Databases
  • Environment
  • Environmental Protection
  • Expert Systems
  • Fluid Flow
  • Geographic Information Systems
  • Information Systems
  • Munitions
  • Physics Laboratories
  • Probability Distributions
  • Reasoning
  • Two Dimensional
  • Unexploded Ammunition

Readers

  • Computational Modeling and Simulation
  • Environmental Remediation and Restoration.
  • Military/Explosive Ordnance Disposal (EOD) Technology