Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine
While the United States Navy has developed a strong arsenal of tools to model the hydrodynamic forces and moments of different vehicles in different conditions, they do not have a model that enables them to understand the forces and moments that an Unmanned Underwater Vehicle (UUV) experiences when...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139582 |
| _version_ | 1811095253778694144 |
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| author | Hammond, Brady M.(Brady Meikle) |
| author2 | Sapsis, Themistoklis |
| author_facet | Sapsis, Themistoklis Hammond, Brady M.(Brady Meikle) |
| author_sort | Hammond, Brady M.(Brady Meikle) |
| collection | MIT |
| description | While the United States Navy has developed a strong arsenal of tools to model the hydrodynamic forces and moments of different vehicles in different conditions, they do not have a model that enables them to understand the forces and moments that an Unmanned Underwater Vehicle (UUV) experiences when operating in close proximity to a moving submarine as a result of the interactions between their potential fields and wakes. The launch and recovery of UUVs from submarines is very challenging because these hydrodynamic interactions make UUVs hard to control near submarines and my even cause collisions between the two vehicles. The mapping of these forces and moments is vital to simulate the motion of the vehicles and enable developers to create UUV control and autonomy systems that are adaptive to these hydrodynamic interactions to further enable UUV launch and recovery. Due to the complex nature of the hydrodynamic interactions, this study used computational fluid dynamics to expand the current understanding of the forces and moments between these two vehicles. A Gaussian process regression model was used to perform an optimal experimental design and map the resulting hydrodynamic interactions based on the UUVs longitudinal position, lateral position, speed, heading angle, UUV diameter, and UUV length. The model was validated using an out of sampling method and was shown to be capable of accurately predicting the hydrodynamic interactions between a submarine and UUV. |
| first_indexed | 2024-09-23T16:14:04Z |
| format | Thesis |
| id | mit-1721.1/139582 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:14:04Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1395822024-01-09T15:30:13Z Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine Hammond, Brady M.(Brady Meikle) Sapsis, Themistoklis Massachusetts Institute of Technology. Department of Mechanical Engineering System Design and Management Program. While the United States Navy has developed a strong arsenal of tools to model the hydrodynamic forces and moments of different vehicles in different conditions, they do not have a model that enables them to understand the forces and moments that an Unmanned Underwater Vehicle (UUV) experiences when operating in close proximity to a moving submarine as a result of the interactions between their potential fields and wakes. The launch and recovery of UUVs from submarines is very challenging because these hydrodynamic interactions make UUVs hard to control near submarines and my even cause collisions between the two vehicles. The mapping of these forces and moments is vital to simulate the motion of the vehicles and enable developers to create UUV control and autonomy systems that are adaptive to these hydrodynamic interactions to further enable UUV launch and recovery. Due to the complex nature of the hydrodynamic interactions, this study used computational fluid dynamics to expand the current understanding of the forces and moments between these two vehicles. A Gaussian process regression model was used to perform an optimal experimental design and map the resulting hydrodynamic interactions based on the UUVs longitudinal position, lateral position, speed, heading angle, UUV diameter, and UUV length. The model was validated using an out of sampling method and was shown to be capable of accurately predicting the hydrodynamic interactions between a submarine and UUV. S.M. Nav.E. 2022-01-14T15:21:20Z 2022-01-14T15:21:20Z 2021-06 2021-06-29T19:28:09.132Z Thesis https://hdl.handle.net/1721.1/139582 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Hammond, Brady M.(Brady Meikle) Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title | Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title_full | Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title_fullStr | Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title_full_unstemmed | Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title_short | Hydrodynamic Interactions of an Unmanned Underwater Vehicle Operating in Close Proximity to a Moving Submarine |
| title_sort | hydrodynamic interactions of an unmanned underwater vehicle operating in close proximity to a moving submarine |
| url | https://hdl.handle.net/1721.1/139582 |
| work_keys_str_mv | AT hammondbradymbradymeikle hydrodynamicinteractionsofanunmannedunderwatervehicleoperatingincloseproximitytoamovingsubmarine |