Statistical Database Generation and Geotechnical Mine Burial Prediction Maps for Coastal Shallow-Water Fine-Grained Sediments

Abstract

LONG-TERM GOALS. The ultimate goal is to substantially improve, quantitatively, the U.S. Navy s mine burial predictive capabilities including the Naval Oceanographic Office (NAVO) Mine Warfare operational issues. The goal also is to provide a strong technical basis for the Office of Naval Research (ONR) science program in mine burial prediction basic and applied research (Bennett et al., 1999; Bennett and Wilkens, 2000; Bennett, 2000). The U.S. Navy s capabilities must be substantially improved to meet operational and fleet requirements in mine burial prediction for shallow-water coastal environments. This project is jointly funded by ONR and NAVO. Comprehensive interrelated sediment geotechnical databases are being developed with empirical relationships that support the developing Expert System (ES) and are crucial to developing a geotechnical mine burial mapping technique based on quantitative sediment properties. The geotechnical, soil physics, and sediment properties approach is essential to quantitatively and statistically evaluate and confidently predict mine burial and predicted depths of burial in shallowwater coastal environments with the ultimate goal of producing mine burial prediction maps. OBJECTIVES. The objectives are to 1) select two or three shallow-water coastal areas and carry out a comprehensive synthesis of the surficial sediment textural and geotechnical properties of the near shore ( 100 m water depth) environments; 2) conduct a comparative analysis of the geological environments in terms of the sediment properties; 3) develop and analyze the statistical distribution of the sediment and geotechnical properties in terms of the environment(s) of deposition and geological setting; and 4) develop predictive empirical equations of sediment geotechnical properties and mine burial potential with estimates of uncertainty.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2003
Accession Number
ADA628144

Entities

People

  • Conrad W. Curry
  • Richard H. Bennett

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Chesapeake Bay
  • Databases
  • Demographic Cohorts
  • Expert Systems
  • Fluids
  • Information Science
  • Measurement
  • Mechanical Properties
  • Military Research
  • Phyllosilicates
  • Physics
  • Sediments
  • Shallow Water
  • Shear Strength
  • Statistical Analysis
  • Statistical Distributions
  • Water

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Theoretical Analysis.