Simulations of zigzag maneuvers for a container ship with direct moving rudder and propeller

Abstract Simulations of zigzag maneuvers of the Postdam Model Basin (SVA) Korean container ship (KCS) model with moving rudder and rotating propeller are presented. Free running KCS presents considerable challenges to simulate the moving semi-balanced horn rudder which presents tight gaps with the rudder root. These difficulties are overcome using a dynamic overset technique with a hierarchy of bodies. To better resolve propeller/rudder interaction a Delayed Detached Eddy Simulation turbulence model based on Menter’s SST is used. Two types of maneuvers are simulated, the standard 10/10 zigzag maneuver and the modified 15/1 zigzag maneuver. Both simulations are performed at model scale in deep, calm water, for approach velocities corresponding to a Froude number 0.26. The self-propulsion at approach speed is achieved using a proportional–integral speed controller which acts on the propeller rotational speed with the ship free to surge, heave, roll and pitch. Once the ship achieves self-propulsion the propeller rotational speed is frozen and the ship is free to move in six degrees of freedom (6DOF) while the maneuver starts. The results show that direct Computational Fluid Dynamics (CFD) simulations of maneuvers with a moving rudder and rotating propeller are feasible and the comparisons between computations and experiments are highly satisfactory in both cases, but the computational cost is still high for many applications. In analyzing the flow physics, it is found that the rudder has asymmetric behavior caused by the asymmetry introduced by the single rotating propeller.

[1]  Frederick Stern,et al.  Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS , 2011 .

[2]  Ralph Noack,et al.  SUGGAR: A General Capability for Moving Body Overset Grid Assembly , 2005 .

[3]  Frederick Stern,et al.  Self-propulsion computations using a speed controller and a discretized propeller with dynamic overset grids , 2010 .

[4]  Frederick Stern,et al.  An unsteady single‐phase level set method for viscous free surface flows , 2007 .

[5]  F. Menter Two-equation eddy-viscosity turbulence models for engineering applications , 1994 .

[6]  Frederick Stern,et al.  Model-and Full-Scale URANS Simulations of Athena Resistance, Powering, Seakeeping, and 5415 Maneuvering , 2009 .

[7]  Johannes Janicka,et al.  Assessment Measures for LES Applications , 2006 .

[8]  Johannes Janicka,et al.  Assessment measures for URANS/DES/LES: an overview with applications , 2006 .

[9]  Pablo M. Carrica,et al.  Submarine propeller computations and application to self-propulsion of DARPA Suboff , 2013 .

[10]  David A. Boger,et al.  Prediction of Hydrodynamic Forces and Moments for Underwater Vehicles Using Overset Grids , 2006 .

[11]  Frederick Stern,et al.  Turn and zigzag maneuvers of a surface combatant using a URANS approach with dynamic overset grids , 2013 .

[12]  Frederick Stern,et al.  Vortical and turbulent structures for KVLCC2 at drift angle 0, 12, and 30 degrees , 2012 .

[13]  Riccardo Broglia,et al.  Experience from SIMMAN 2008—The First Workshop on Verification and Validation of Ship Maneuvering Simulation Methods , 2011 .

[14]  Frederick Stern,et al.  Computations of self-propulsion free to sink and trim and of motions in head waves of the KRISO Container Ship (KCS) model , 2011 .

[15]  F. Stern,et al.  Ship motions using single-phase level set with dynamic overset grids , 2007 .

[16]  Barry Smith,et al.  Large-scale DES computations of the forward speed diffraction and pitch and heave problems for a surface combatant , 2010 .

[17]  Hyung Jin Sung,et al.  A wall-bounded turbulent mixing layer flow over an open step: I. Time-mean and spectral characteristics , 2006 .

[18]  Johannes Janicka,et al.  Assessment Measures for Engineering LES Applications , 2009 .