Pseudocylinder Parametrization For Mine Impact Burial Prediction
نویسندگان
چکیده
The United States military has undergone numerous changes since the end of the Cold War. Specifically, the U.S. Navy experienced a shift in the area of engagement from the “blue water” water depth greater than 100 m to littoral regions of the world. The sea mines become the big threat in the naval operations. Within the past 15 years three U.S. ships, the USS Samuel B. Roberts FFG-58 , Tripoli LPH-10 , and Princeton CG-59 have fallen victim to mines. The total ship damage was $125 million while the mines cost approximately $30 ,000 1 . Let x ,y be the horizontal coordinates and z the vertical coordinate. A two-dimensional model called IMPACT28 was developed to predict the mine’s movement in the x ,z cross section 2 . The model contains two momentum equations in x and z directions and one moment of the momentum equation in the y direction , and predicts the mine’s center of mass COM position in the x ,z plane and the rotation i.e., the mine’s orientation around the y axis. Since the mine’s movement in IMPACT28 is strictly in the x ,z plane, it is very hard to include the motion of fluid in the two-dimensional model, because it is impossible to lay a mine in the same direction of the fluid velocity. In the littoral zone, the water velocity is not negligible. The application of the two-dimensional model for the operational use is limited. Recently, a three-dimensional recursive model IMPACT35 has been developed to predict the rigid cylinder’s or cylindrical mine’s translation velocity and orientation in fluid involving nonlinear dynamics, fluid–structure interaction, and instability theory 3–5 . However, the Navy operational mines are usually not cylindrical. The existing model should be extended from the cylindrical mines to more general shapes of mines with nose and tail.
منابع مشابه
Mine Impact Burial Prediction From One to Three Dimensions
The Navy’s mine impact burial prediction model creates a time history of a cylindrical or a noncylindrical mine as it falls through air, water, and sediment. The output of the model is the predicted mine trajectory in air and water columns, burial depth/orientation in sediment, as well as height, area, and volume protruding. Model inputs consist of parameters of environment, mine characteristic...
متن کاملDevelopment of the Navy ’ s 3 D Mine Impact Burial Prediction Model ( IMPACT 35 )
1 Atract-Falling of mine through air, water, and sediment is investigated experimentally and theoretically. Two experiments were conducted to drop cylindrical mine with the density ratio around 1.8 into shallow water (around 13 m deep) in the Monterey Bay (Exp-1) and into the Naval Postgraduate School’s swimming pool (Exp-2). During the experiments, we carefully observe mine track and burial de...
متن کاملTransition of Bayesian Expert System Model for Mine Burial to NAVO
This work supports mine burial prediction by the US Navy by transitioning the capabilities provided by state-of-the-art, high-resolution process models to Naval operations. These models are synthesized by a statistical prediction tool (the Mine Burial Expert System—MBESM), which relates uncertainty in model input to uncertainty in the predicted mine burial. This work will produce more detailed ...
متن کاملMine Burial Prediction: A Cooperative NRL/ONR Study
Seabed-structure interactions are responsible for the burial of heavy objects, such as mines, pipelines, concrete breakwaters, platforms, debris, and other objects on the seafloor. In low shear strength muds, these objects are known to bury at impact or to sink into the sediment if the buoyant weight of the object exceeds the bearing capacity of the seafloor. In higher energy sandy sediments, b...
متن کاملExpert System For Mine Burial Prediction
The degree of mine burial is a crucial factor in Mine Counter Measure (MCM) mission planning, having a significant effect on sensor range and effectiveness. The ultimate goal of this project is to provide an mine burial prediction fleet aid for operational Navy MCM decision making that incorporates recent research in burial mechanisms and seafloor sediment behavior. This predictive tool should ...
متن کامل