CFD Investigations of Ship Maneuvering in Waves Using naoe-FOAM-SJTU Solver

Abstract

Ship maneuvering in waves includes the performance of ship resistance, seakeeping, propulsion, and maneuverability. It is a complex hydrodynamic problem with the interaction of many factors. With the purpose of directly predicting the behavior of ship maneuvering in waves, a CFD solver named naoe-FOAM-SJTU is developed by the Computational Marine Hydrodynamics Lab (CMHL) in Shanghai Jiao Tong University. The solver is based on open source platform OpenFOAM and has introduced dynamic overset grid technology to handle complex ship hull-propeller-rudder motion system. Maneuvering control module based on feedback control mechanism is also developed to accurately simulate corresponding motion behavior of free running ship maneuver. Inlet boundary wavemaker and relaxation zone technique is used to generate desired waves. Based on the developed modules, unsteady Reynolds-averaged Navier-Stokes (RANS) computations are carried out for several validation cases of free running ship maneuver in waves including zigzag, turning circle, and course keeping maneuvers. The simulation results are compared with available benchmark data. Ship motions, trajectories, and other maneuvering parameters are consistent with available experimental data, which indicate that the present solver can be suitable and reliable in predicting the performance of ship maneuvering in waves. Flow visualizations, such as free surface elevation, wake flow, vortical structures, are presented to explain the hydrodynamic performance of ship maneuvering in waves. Large flow separation can be observed around propellers and rudders. It is concluded that RANS approach is not accurate enough for predicting ship maneuvering in waves with large flow separations and detached eddy simulation (DES) or large eddy simulation (LES) computations are required to improve the prediction accuracy.

Keywords

Maneuvering in waves / Overset grid method / Hull-propeller-rudder interaction / OpenFOAM / naoe-FOAM-SJTU

References

[1] Araki M, Sadat-Hosseini H, Sanada Y, Tanimoto K, Umeda N, Stern F. Estimating maneuvering coefficients using system identification methods with experimental, system-based, and CFD free-running trial data. Ocean Eng, 2012, 51: 63-84

[2] Berberović E, van Hinsberg N, Jakirlić S, Roisman I, Tropea C. Drop impact onto a liquid layer of finite thickness: dynamics of the cavity evolution. Phys Rev E, 2009, 79(3): 36306

[3] Cao H, Wan DC. Development of multidirectional nonlinear numerical wave tank by naoe-FOAM-SJTU solver. Int J Ocean System Engineering, 2014, 4(1): 52-59

[4] Cao H, Wan DC. RANS-VOF solver for solitary wave run-up on a circular cylinder. China Ocean Engineering, 2015, 29: 183-196

[5] Cao H, Wan DC. Benchmark computations of wave run-up on single cylinder and four cylinders by naoe-FOAM-SJTU solver. Appl Ocean Res, 2017, 65: 327-337

[6] Carrica PM, Ismail F, Hyman M, Bhushan S, Stern F. Turn and zigzag maneuvers of a surface combatant using a URANS approach with dynamic overset grids. J Mar Sci Technol, 2012, 18(2): 166-181

[7] Elshiekh H (2014) Maneuvering characteristics in calm water and regular waves for ONR Tumblehome. Master thesis, The University of IOWA

[8] ITTC (2017) Proposed tasks and structure of the 29th ITTC Technical Committees and Groups. 28th International Towing Tank Conference. Wuxi, China, 393–408

[9] Jacobsen NG, Fuhrman DR, Fredsøe J. A wave generation toolbox for the open-source CFD library: OpenFoam®. Int J Numer Methods Fluids, 2012, 70(9): 1073-1088

[10] Liu C, Wang J, Wan DC. CFD computation of wave forces and motions of DTC ship in oblique waves. Int J Offshore Polar Engineering, 2018, 28(2): 154-163

[11] Menter FR, Kuntz M, Langtry R. Ten years of industrial experience with the SST turbulence model. Turbulence, Heat Mass Transfer, 2003, 4(1): 625-632

[12] Noack RW, Boger DA, Kunz RF, Carrica PM (2009) Suggar++: an improved general overset grid assembly capability. 19th AIAA Conference, San Antonio, USA, 22–25

[13] Paroka D, Muhammad AH, Asri S. Prediction of ship turning maneuvers in constant wind and regular waves. Int J Technol, 2017, 8(3): 387-397

[14] Sanada Y, Tanimoto K, Takagi K, Gui L, Toda Y, Stern F. Trajectories for ONR Tumblehome maneuvering in calm water and waves. Ocean Eng, 2013, 72: 45-65

[15] Sanada Y, Elshiekh H, Toda Y, Stern F (2014) Effects of waves on course keeping and maneuvering for surface combatant ONR Tumblehome. 30th Symposium on Naval Hydrodynamics, Hobart, Australia

[16] Seo MG, Kim Y. Numerical analysis on ship maneuvering coupled with ship motion in waves. Ocean Eng, 2011, 38: 1934-1945

[17] Shen Z, Korpus R (2015) Numerical simulations of ship self-propulsion and maneuvering using dynamic overset grids in OpenFOAM. Tokyo 2015 A Workshop on CFD in Ship Hydrodynamics, Tokyo, Japan

[18] Shen Z, Wan DC. RANS computations of added resistance and motions of a ship in head waves. Int J Offshore Polar Engineering, 2013, 23(4): 264-271

[19] Shen Z, Wan DC. An irregular wave generating approach based on naoe-FOAM-SJTU solver. China Ocean Engineering, 2016, 30: 177-192

[20] Shen Z, Ye H, Wan DC. URANS simulations of ship motion responses in long-crest irregular waves. J Hydrodynamics, Ser. B, 2014, 26(3): 436-446

[21] Shen Z, Wan DC, Carrica PM. Dynamic overset grids in OpenFOAM with application to KCS self-propulsion and maneuvering. Ocean Eng, 2015, 108: 287-306

[22] Sigmund S, el Moctar O. Numerical and experimental investigation of propulsion in waves. Ocean Eng, 2017, 144: 35-49

[23] Sprenger F, Maron A, Delefortrie G, van Zwijnsvoorde T, Cura-Hochbaum A, Lengwinat A, Papanikolaou A. Experimental studies on seakeeping and maneuverability of ships in adverse weather conditions. J Ship Res, 2017, 61(3): 131-152

[24] Subramanian R, Beck RF. A time-domain strip theory approach to maneuvering in a seaway. Ocean Eng, 2015, 104: 107-118

[25] Tezdogan T, Demirel YK, Kellett P, Khorasanchi M, Incecik A, Turan O. Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming. Ocean Eng, 2015, 97: 186-206

[26] Wang J, Wan DC. Investigations of self-propulsion in waves of fully appended ONR Tumblehome model. Appl Math Mech, 2016, 37(12): 1345-1358

[27] Wang J, Liu X, Wan DC (2015) Numerical prediction of free running at model point for ONR Tumblehome using overset grid method, Tokyo 2015 A Workshop on CFD in Ship Hydrodynamics, Tokyo, Japan, 383–388

[28] Wang J, Zhao W, Wan DC (2016) Free maneuvering simulation of ONR Tumblehome using overset grid method in naoe-FOAM-SJTU solver. 31th Symposium on Naval Hydrodynamics, Monterey, USA

[29] Wang J, Zou L, Wan DC. CFD simulations of free running ship under course keeping control. Ocean Eng, 2017, 141: 450-464

[30] Wang J, Zou L, Wan DC. Numerical simulations of zigzag maneuver of free running ship in waves by RANS-Overset grid method. Ocean Eng, 2018, 162: 55-79

[31] Ye H, Shen Z, Wan DC. Numerical prediction of added resistance and vertical ship motions in regular head waves. J Mar Sci Appl, 2012, 11(4): 410-416

[32] Zha R, Ye H, Shen Z, Wan DC. Numerical study of viscous wave-making resistance of ship navigation in still water. J Mar Sci Appl, 2014, 13(2): 158-166

[33] Zha R, Ye H, Shen Z, Wan DC. Numerical computations of resistance of high speed catamaran in calm water. J Hydrodynamics, Ser. B, 2015, 26(6): 930-938

[34] Zhang W, Zou Z. Time domain simulations of the wave-induced motions of ships in maneuvering condition. J Mar Sci Technol, 2016, 21(1): 154-166