Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model
This paper presents a method for optimizing the multidisciplinary shape design of underwater vehicles using a dynamic proxy model. The method employs a collaborative optimization approach that considers various disciplines, including rapidity, maneuverability, energy consumption, and structural stre...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering and Naval Architecture
2025-01-01
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| Series: | Brodogradnja |
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| Online Access: | https://hrcak.srce.hr/file/480773 |
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| _version_ | 1849422344902148096 |
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| author | Shaojun Sun Weilin Luo |
| author_facet | Shaojun Sun Weilin Luo |
| author_sort | Shaojun Sun |
| collection | DOAJ |
| description | This paper presents a method for optimizing the multidisciplinary shape design of underwater vehicles using a dynamic proxy model. The method employs a collaborative optimization approach that considers various disciplines, including rapidity, maneuverability, energy consumption, and structural strength of the underwater vehicle. The K and T indices are effectively utilized to represent the maneuverability performance of underwater vehicles. The hydrodynamics of underwater vehicles are analyzed using the Computational Fluid Dynamics (CFD) numerical simulation method. To reduce the computational burden in the optimization loop, this paper proposes a dynamic proxy model that combines the trust region with the adaptive minimum confidence Lowest Credible Bound (LCB) and the Synthetic Minority Over-Sampling Technique (SMOTE) algorithm. Additionally, an adaptive balance constant is introduced into the proxy model. The collaborative optimization framework employs a combined optimization algorithm based on the genetic algorithm and Nonlinear Programming by Quadratic Lagrangian Programming (NLPQLP) algorithm. The results of applying this optimization strategy to the SUBOFF model demonstrate its effectiveness in optimizing the resistance, mass, maneuverability, structural strength, and energy consumption of the underwater vehicle. |
| format | Article |
| id | doaj-art-1c816a7ed91e42d0a4430bd6e1e7624b |
| institution | Kabale University |
| issn | 0007-215X 1845-5859 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Faculty of Mechanical Engineering and Naval Architecture |
| record_format | Article |
| series | Brodogradnja |
| spelling | doaj-art-1c816a7ed91e42d0a4430bd6e1e7624b2025-08-20T03:31:07ZengFaculty of Mechanical Engineering and Naval ArchitectureBrodogradnja0007-215X1845-58592025-01-0176312010.21278/brod76306Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy modelShaojun Sun0Weilin Luo1Fuzhou Institute of Oceanography, Fuzhou University, Fuzhou 350108, ChinaFuzhou Institute of Oceanography, Fuzhou University, Fuzhou 350108, ChinaThis paper presents a method for optimizing the multidisciplinary shape design of underwater vehicles using a dynamic proxy model. The method employs a collaborative optimization approach that considers various disciplines, including rapidity, maneuverability, energy consumption, and structural strength of the underwater vehicle. The K and T indices are effectively utilized to represent the maneuverability performance of underwater vehicles. The hydrodynamics of underwater vehicles are analyzed using the Computational Fluid Dynamics (CFD) numerical simulation method. To reduce the computational burden in the optimization loop, this paper proposes a dynamic proxy model that combines the trust region with the adaptive minimum confidence Lowest Credible Bound (LCB) and the Synthetic Minority Over-Sampling Technique (SMOTE) algorithm. Additionally, an adaptive balance constant is introduced into the proxy model. The collaborative optimization framework employs a combined optimization algorithm based on the genetic algorithm and Nonlinear Programming by Quadratic Lagrangian Programming (NLPQLP) algorithm. The results of applying this optimization strategy to the SUBOFF model demonstrate its effectiveness in optimizing the resistance, mass, maneuverability, structural strength, and energy consumption of the underwater vehicle.https://hrcak.srce.hr/file/480773underwater vehicledynamic proxy modelk and t indicescollaborative optimization,hydrodynamics |
| spellingShingle | Shaojun Sun Weilin Luo Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model Brodogradnja underwater vehicle dynamic proxy model k and t indices collaborative optimization, hydrodynamics |
| title | Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| title_full | Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| title_fullStr | Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| title_full_unstemmed | Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| title_short | Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| title_sort | multi disciplinary optimization of underwater vehicles based on a dynamic proxy model |
| topic | underwater vehicle dynamic proxy model k and t indices collaborative optimization, hydrodynamics |
| url | https://hrcak.srce.hr/file/480773 |
| work_keys_str_mv | AT shaojunsun multidisciplinaryoptimizationofunderwatervehiclesbasedonadynamicproxymodel AT weilinluo multidisciplinaryoptimizationofunderwatervehiclesbasedonadynamicproxymodel |