Hydrofoil optimization of underwater glider using Free-Form Deformation and surrogate-based optimization |
Wang, Xinjing
(School of Marine Science and Technology, Northwestern Polytechnical University)
Song, Baowei (School of Marine Science and Technology, Northwestern Polytechnical University) Wang, Peng (School of Marine Science and Technology, Northwestern Polytechnical University) Sun, Chunya (School of Marine Science and Technology, Northwestern Polytechnical University) |
1 | Alvarez, A., Bertram, V., Gualdesi, L., 2009. Hull hydrodynamic optimization of autonomous underwater vehicles operating at snorkeling depth. Ocean Eng. 36 (1), 105-112. DOI |
2 | Bachmayer, R., Leonard, N.E., Graver, J., Fiorelli, E., Bhatta, P., Paley, D., 2004. Underwater gliders: recent developments and future applications. In: Underwater Technology, 2004. UT'04. 2004 International Symposium on IEEE, pp. 195-200. |
3 | Baowei, S., Xinjing, W., Peng, W., 2017. Predictions of AUV's hydrodynamic parameters based on variable-fidelity modeling. J. Mech. Eng. 53 (18), 176-182. DOI |
4 | S. S. D. Bingham, Optimization Test Problems, http://www.sfu.ca/-ssurjano/optimization.html. |
5 | Dong, H., Song, B., Dong, Z., Wang, P., 2016. Multi-start space reduction (MSSR) surrogate-based global optimization method. Struct. Multidiscip. Optim. 54 (4), 1-20. DOI |
6 | Dong, H., Song, B., Wang, P., Dong, Z., 2017a. Surrogate-based optimization with clustering-based space exploration for expensive multimodal problems. Struct. Multidiscip. Optim. 1-25. |
7 | Dong, H., Song, B., Wang, P., 2017b. Kriging-based optimization design for a new style shell with black box constraints. J. Algorithm Comput. Technol. 11 (3), 234-245. DOI |
8 | Eriksen, C.C., Osse, T.J., Light, R.D., Wen, T., 2001. Seaglider: a long-range autonomous underwater vehicle for oceanographic research. IEEE J. Ocean. Eng. 26 (4), 424-436. DOI |
9 | Forrester, A.I.J., Keane, A.J., 2009. Recent advances in surrogate-based optimization. Prog. Aero. Sci. 45 (1), 50-79. DOI |
10 | Gao, T., Wang, Y., Pang, Y., Cao, J., 2016. Hull shape optimization for autonomous underwater vehicles using cfd. Eng. App. Computat. Fluid Mech. 10 (1), 599-607. |
11 | Garg, N., Kenway, G.K.W., Lyu, Z., Martins, J.R.R.A., Young, Y.L., 2015. High-fidelity hydrodynamic shape optimization of a 3-d hydrofoil. J. Ship Res. 59 (4), 209-226. DOI |
12 | Ginsbourger, D., Le Riche, R., Carraro, L., 2010. Kriging is well-suited to parallelize optimization. Computat. Intell. Expen. Opti. Probl. 2, 131-162. |
13 | Graver, J., 2005. Grady, Underwater gliders: dynamics, control and design. J. Fluid Eng. 127 (3), 523-528. DOI |
14 | Hildebrand, J.A., D'Spain, G.L., Roch, M.A., Porter, M.B., 2009. Glider-based Passive Acoustic Monitoring Techniques in the Southern California Region. Tech. rep.. Scripps Institution of Oceanography la Jolla ca. |
15 | Jin, R., Chen, W., Sudjianto, A., 2002. On sequential sampling for global metamodeling in engineering design. Proc.DETC 2, 539-548. |
16 | Jones, D.R., 2001. A taxonomy of global optimization methods based on response surfaces. J. Global Optim. 21 (4), 345-383. DOI |
17 | Jones, D.R., Schonlau, M., Welch, W.J., 1998. Efficient global optimization of expensive black-box functions. J. Global Optim. 13 (4), 455-492. DOI |
18 | Joung, T.H., Sammut, K., He, F., Lee, S.K., 2012. Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis. Int. J. Naval Architect. Ocean Eng. 4 (1), 44-56. DOI |
19 | Krige, D.G., 1951. A statistical approach to some basic mine valuation problems on the witwatersrand. OR 4 (1), 18-18. |
20 | Kulfan, B.M., 2008. Universal parametric geometry representation method. J. Aircraft 45 (1), 142-158. DOI |
21 | Leifsson, L., Koziel, S., Ogurtsov, S., 2013. Hydrodynamic shape optimization of axisymmetric bodies using multi-fidelity modeling. Simul. Model. Methodol. Technol. App. 209-223. |
22 | Liu, J., Han, Z., Song, W., 2012. Comparison of infill sampling criteria in krigingbased aerodynamic optimization. In: 28th Congress of the International Council of the Aeronautical Sciences, pp. 23-28. |
23 | Sederberg, T.W., Parry, S.R., 1986. Free-form deformation of solid geometric models. Comput. Graph. 20 (4), 151-160. DOI |
24 | Liu, J., Song,W., Han, Z., Zhang, Y., 2017. Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models. Struct. Multidiscip. Optim. 55 (3), 925-943. DOI |
25 | Sacks, J., Welch, W.J., Mitchell, T.J., Wynn, H.P., 1989. Design and analysis of computer experiments. Stat. Sci. 4 (4), 409-423. DOI |
26 | Sbester, A., Leary, S.J., Keane, A.J., 2004. A parallel updating scheme for approximating and optimizing high fidelity computer simulations. Struct. Multidiscip. Optim. 27 (5), 371-383. DOI |
27 | Sherman, J., Davis, R., Owens, W.B., Valdes, J., 2001. The autonomous underwater glider 'spray'. IEEE J. Ocean. Eng. 26 (4), 437-446. DOI |
28 | Stommel, H., 1989. The slocum mission. Oceanography 2 (1), 22-25. DOI |
29 | Sun, C., Song, B., Wang, P., Wang, X., 2017. Shape optimization of blended-wing-body underwater glider by using gliding range as the optimization target. Int. J. Naval Architect. Ocean Eng. 9 (6), 693-704. DOI |
30 | Sun, C., Song, B., Wang, P., 2015. Parametric geometric model and shape optimization of an underwater glider with blended-wing-body. Inter. J. Naval Architect. Ocean Eng. 7 (6), 995-1006. DOI |
31 | Viana, F.A., Haftka, R.T., 2010. Surrogate-based optimization with parallel simulations using the probability of improvement. In: 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, pp. 13-15. Fort Worth USA. |
32 | Volpi, S., Diez, M., Stern, F., 2017. Towards the high-fidelity multidisciplinary design optimization of a 3d composite material hydrofoil. In: Proceedings of the VII International Congress on Computational Methods in Marine Engineering. |
33 | Zhang, D., Song, B.,Wang, P., Chen, X., 2017. Multidisciplinary optimization design of a new underwater vehicle with highly efficient gradient calculation. Struct. Multidiscip. Optim. 55 (4), 1483-1502. DOI |
34 | Webb, D.C., Simonetti, P.J., Jones, C.P., 2001. Slocum: an underwater glider propelled by environmental energy. IEEE J. Ocean. Eng. 26 (4), 447-452. DOI |
35 | Young, Y.L., Motley, M.R., Barber, R., Chae, E.J., Garg, N., 2016. Adaptive composite marine propulsors and turbines: progress and challenges. Appl. Mech. Rev. 68 (6), 060803-060834. DOI |
36 | Zarruk, G.A., Brandner, P.A., Pearce, B.W., Phillips, A.W., 2014. Experimental study of the steady fluid-structure interaction of flexible hydrofoils. J. Fluid Struct. 51, 326-343. DOI |