Abstract
As ocean resources received considerable attention, the autonomous underwater vehicle (AUV) has been more widely applied due to its excellent flexibility and adaptability, and the optimization design of AUV has becoming a more important issue. The heavier-than-water underwater vehicle (HUV) is a new conceptual AUV, and its design is a typical multidisciplinary problem, but heavily dependent on the experience with naval architects at the present engineering design. To realize the optimization design of HUV, the multidisciplinary design optimization (MDO) method is applied to the multiple objective MDO design of an HUV. In this paper, a system synthesis model of the HUV has been set up. To predict the hydrodynamic characteristics accurately, the computational fluid dynamics (CFD) method is used. In the MDO process, the all-in-one (AIO) method has been adopted with non-dominated sorting genetic algorithms (NSGA)-II and a Kriging model for constructing global approximations to reduce the cost of the CFD numerical simulation. According to the multiple objective MDO design, the Pareto-optimal solutions are analyzed and verified by the numerical simulation, and it is found that the optimal design of HUV has better performance than that of prototype.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 51109132) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20110073120015). Critical comments from reviewers are greatly appreciated.
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Liu, X., Yuan, Q., Zhao, M. et al. Multiple objective multidisciplinary design optimization of heavier-than-water underwater vehicle using CFD and approximation model. J Mar Sci Technol 22, 135–148 (2017). https://doi.org/10.1007/s00773-016-0399-5
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DOI: https://doi.org/10.1007/s00773-016-0399-5