A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Statistical Database Generation and Geotechnical Mine Burial Prediction Maps for Coastal Shallow-Water Fine-Grained Sediments
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.
Statistical Database Generation and Geotechnical Mine Burial Prediction Maps for Coastal Shallow-Water Fine-Grained Sediments
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.
Statistical Database Generation and Geotechnical Mine Burial Prediction Maps for Coastal Shallow-Water Fine-Grained Sediments
R. H. Bennett (author) / C. W. Curry (author)
2003
5 pages
Report
No indication
English
Information Systems , Underwater Ordnance , Buried objects , Data bases , Sediments , Underwater mines , Coastal regions , Depth , Environments , Estimates , Expert systems , Fine grained materials , Geology , Mine warfare , Mines(ordnance) , Predictions , Shallow water , Shores , Soils , Statistical distributions , Statistics , Texture
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