Weitere Kapitel dieses Buchs durch Wischen aufrufen
Predicting maneuverability and stability of a free running ship in following and quartering waves are one of the most important topics to prevent broaching; however current mathematical models show quantitative errors with the experimental data while high-fidelity CFD simulations show quantitative agreement, which provides the opportunity to improve the mathematical models for free running ship dynamics in waves. In this study, both maneuvering coefficients and wave model in the mathematical model are improved utilizing system identification technique and CFD free running outputs. From turning circle and zigzag calm water CFD free running data, the maneuvering coefficients are estimated. The wave correction parameters are introduced to improve the wave model, which are found from a few forced and free running CFD simulations in waves. The mathematical model with the improved parameters shows much better agreement with experiments in both calm water and waves than the original mathematical model. The original mathematical model was based on the maneuvering coefficients estimated from several captive tests and wave forces calculated from linear Froude-Krylov forces and diffraction forces based on a slender ship theory.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Abkowitz, M.A., 1964, Lecture of ship hydrodynamics—steering and maneuverability, Hydro-and Aerodynamic Laboratory, Report No. Hy-5.
Abkowitz M. A., 1980, Measurement of Hydrodynamic Characteristics from Ship Maneuvering Trials by System Identification, SNAME Transactions, 88, 283–318.
American Bureau of Shipping, 2006, Guide for Vessel Maneuverability, Houston, TX.
Araki, M., Umeda, N., Hashimoto, H., Matsuda, A., 2010. “Broaching prediction using an improved system-based approach”. Proceedings of 28th Symposium on Naval Hydrodynamics, pp. 56–68.
Araki, M., Sadat-Hosseini, H., Sanada, Y. Tanimoto, K., Umeda, N., and Stern, F., 2012, Estimating Maneuvering Coefficients Using System identification Methods with Experimental, System-based, and CFD Free-running Trial Data, Ocean Engineering, 51:63–84. CrossRef
Araki, M., Sadat-Hosseini H., Sanada, Y., Umeda, N., and Stern, F., 2013, “System Identification using CFD Captive and Free Running Tests in Severe Stern Waves,” Proceedings 13th International Ship Stability Workshop, Brest, France, September 23 – 26.
Bishop, R., Belknap, W., Turner, C., Simon, B., Kim, J., 2005, Parametric investigation on the influence of GM, roll damping, and above-water form on the roll response of model 5613, Report NSWCCD-50-TR-2005/027.
Carrica, P. M., Huang, J., Noack, R., Kaushik, D., Smith, B., Stern, F., 2010, “Large-scale DES computations of the forward speed diffraction and pitch and heave problems for a surface combatant”, Computer & Fluids, 39(7):1095–1111. CrossRef
Christensen, A., Blanke, M., 1986. A Linearized state-space model in steering and roll of high-speed container ship. Technical Report 86-D-574, Servolaboratoriet, Technical University of Denmark.
Hashimoto, H., Umeda, N., and Matsuda, A., 2011, “Broaching prediction of a wave-piercing tumblehome vessel with twin screw and twin rudder”, Journal of Marine Science and Technology, 16(4):448–461. CrossRef
Hashimoto, H., Stern, F., and Sadat-Hosseini, H., 2008, An application of CFD for advanced broaching prediction (2ndReport), Conference Proceedings of the Japan Society of Naval Architects and Ocean Engineers, Vol. 6, pp. 237–240.
Kang, C.G., Seo, S.H., Kim, J.S., 1984. “Maneuverability analysis of ship by system identification technique”. SNAK, 21, No.4.
Kose, K., Yumuro, A., Yoshimura, Y., 1981, “Concrete of mathematical model for ship maneuverability”, Proceedings of 3rd Symposium on Ship Maneuverability, Society of Naval Architects of Japan, pp. 27–80, (in Japanese).
Lasdon, L. S., Waren, A. D., Jain, A., Ratner, M., 1978, Design and testing of a generalized reduced gradient code for nonlinear programming, Journal of ACM Transactions on Mathematical Software, Volume 4 Issue 1. CrossRef
Lewis, F. L., 1986, Optimal Estimation –with an introduction to stochastic control theory, John Wiley & Sons, Inc.
Mikami, T., Kashiwagi, M., 2009, “Time-domain strip method with memory-effect function considering body nonlinear wave-body interactions (2nd report)”, Journal of Marin Science and Technology, 14(2) 185–199.
Mizumoto, K., Stern, F., Araki, M., Umeda, N., 2018, “CFD-based system identification for improving a system-based simulation model of broaching in stern quartering waves (tentative title)”, Proceeding of 13th International Conference on Stability of Ships and Ocean Vehicles STAB 2018, Kobe, Japan, 92–98.
MMG, 1980. MMG report V. Bulletin of Society of Naval Architects of Japan. 616, 565–576.
Nonaka, K., Mori, M., Matsumoto, N., 1972. “Estimating Maneuvering Coefficients from Free-Running Trials”. Proceedings of 20th Meetings of Ship Research Institute.
Norrbin, N. H., 1963, “On the design and analysis of zig-zag test on base of quasi linear frequency response”, Technical Report B104-3, The Swedish State Shipbuilding Experimental Tank, Gothenburg, Sweden.
Ogawa, A., Kasai, H., 1978. “On the mathematical model of maneuvering motion of ship”. International Shipbuilding Progress 25 (292), 306–319. CrossRef
Rhee, K. P., Kim, K., 1999, A new sea trial method for estimating hydrodynamic derivatives, Journal of Ship & Ocean Technology 3, (3), 25–44.
Ross, A.,.T., Perez, and T., Fossen, 2007. A novel maneuvering model based on lowaspect-ratio lift theory and Lagrangian mechanics. Proceedings of the IFAC Conference on Control Applications in Marine System (CAMS). CrossRef
Sadat-Hosseini, H., Carrica, M. P., Stern, F., Umeda, N., Hashimoto, H., Yamamura, S., Mastuda, A., 2011, “CFD, system-based and ME study of ship dynamic instability events: surf-riding, periodic motion, and broaching”, Ocean Engineering, Vol. 38, Issue 1, pp. 88–110. CrossRef
Sanada, Y., Tanimoto, K., Takagi, K., Sano, M., Yeo, D.J., Toda, Y., Stern, F., 2012, “Trajectories of local flow field measurement around ONR tumblehome in maneuvering motion”, Proceedings of 29th Symposium on Naval Hydrodynamics, Gothenburg, Sweden.
Shi, C., Zhao, D., Peng, J., Shen, C., 2009. “Identification of ship maneuvering model using extended kalman filtering”. International Journal Marine Navigation and Safety of Sea Transportation 3 (1), 105–110.
Son K. H., Nomoto K., 1982, Combined behavior of manoeuvring and roll motion in following wave, Journal of the Society of Naval Architects of Japan, Vol.152, pp. 207–218.
Stern, F., Agdrup, K., Kim, S. Y., Hochbaum, A. C., Rhee, K. P., Quadvlieg, F., Perdon, P., Hino, T., Broglia, R., and Gorski, J., 2011, “Experience from 2008 – the first workshop on verification and validation of ship maneuvering simulation methods,” Journal of Ship Research, vol. 55, No. 2, pp. 135–147.
Umeda, N., Matsuda, A., Hashimoto, H., Yamamura, S., and Maki, A., 2008, “Model experiments on extreme motions of a wave-piercing Tumblehome vessel in following and quartering waves”, Journal of the Japan Society of Naval Architects and Ocean Engineers, Vol. 8, pp. 123–129. CrossRef
Yasukawa, H., 2006, Simulation of Ship Maneuvering in Waves (1st report: turning motion), Journal of the Japan Society of Naval Architects and Ocean Engineers, Vol. 4, pp. 127–136, (in Japanese). CrossRef
Yoneda, S., Hashimoto, H., Matsuda, A., Tahara, Y., Terada, D., Stern, F., 2017, “Investigation on the improvement of estimation accuracy of wave-exciting forces acting on ships in stern quartering waves”, Conference Proceedings of the Japan Society of Naval Architects and Ocean Engineers, Vol. 24. (in Japanese).
Zhang, X.G., Zou, Z.J., 2011. “Identification of Abkowitz model for ship maneuvering motion using epsilon-support vector regression”, Journal of Hydrodynamics, Ser. B 23 (3), 353–360. CrossRef
- Improved Maneuvering-Based Mathematical Model for Free-Running Ship Motions in Following Waves Using High-Fidelity CFD Results and System-Identification Technique
- Chapter 6
Systemische Notwendigkeit zur Weiterentwicklung von Hybridnetzen