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Multiobjective Optimization for Ship Hull Form Design Using SBD Technique

Shengzhong Li1, Feng Zhao1, Qi-Jun Ni1

1 China Ship Scientific Research Center, Wuxi Jiangsu 214082, China

Computer Modeling in Engineering & Sciences 2013, 92(2), 123-149. https://doi.org/10.3970/cmes.2013.092.123

Abstract

With the rapid development of computer technology and the continuous improvement of optimization theory, optimization techniques have been introduced into the field of ship design. Optimization algorithms and advanced CFD techniques are successfully integrated together into what is known as Simulation- Based Design (SBD) techniques, which opens a new situation for hull-form optimization design and configuration innovation. In this paper, fundamental elements of the SBD techniques are described and crucial components are analyzed profoundly. Focus is on breaking through key technologies as hull geometry modification and reconstruction, global optimization algorithms, and codes integration. Combined with high-fidelity CFD codes (on RANS), an automatic hull-form design optimization framework is established. Based on that, an application of the framework application for a surface combatant hull multi-objective optimization is illustrated. The results show that the reduction of the total resistance is about 6% for the optimized hullform at the design speed (Fn=0.28). The given combatant design optimization example demonstrates the practicability and superiority of the developed SBD framework for the mid-high speed ship.

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APA Style
Li, S., Zhao, F., Ni, Q. (2013). Multiobjective optimization for ship hull form design using SBD technique. Computer Modeling in Engineering & Sciences, 92(2), 123-149. https://doi.org/10.3970/cmes.2013.092.123
Vancouver Style
Li S, Zhao F, Ni Q. Multiobjective optimization for ship hull form design using SBD technique. Comput Model Eng Sci. 2013;92(2):123-149 https://doi.org/10.3970/cmes.2013.092.123
IEEE Style
S. Li, F. Zhao, and Q. Ni "Multiobjective Optimization for Ship Hull Form Design Using SBD Technique," Comput. Model. Eng. Sci., vol. 92, no. 2, pp. 123-149. 2013. https://doi.org/10.3970/cmes.2013.092.123



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