Ship maneuverability modeling and numerical prediction using CFD with body force propeller

Abstract

To obtain an accurate ship maneuverability model for motion prediction and autonomous navigation, a ship maneuverability modeling and numerical prediction method is proposed based on Computational Fluid Dynamics (CFD). A Mathematical Model Group (MMG) model is utilized to describe the ship maneuverability with data from virtual captive model and free-running tests. Static Oblique Towing Test (OTT) and dynamic Circular Motion Test (CMT) are both performed to acquire necessary data for the MMG model identification. The forces and moments acting on ship hull are predicted by solving unsteady Reynolds-Averaged Navier–Stokes (RANS) equations. The MMG hydrodynamic derivatives are obtained with the results of captive model tests. In the free-running simulations, to reduce the computational cost of considerable propeller grids, a body force propeller method is introduced to provide thrust forces directly, and the ship motion is handled by overset grids of ship hull and rudder. A 3-degree of freedom MMG model is identified with numerical simulation results, i.e., the self-propulsion test, rudder angle 35°turning test and 15/1 zig-zag test, for a standard KRISO Container Ship (KCS). These tests show that the motion prediction and free-running maneuvering results can agree with the standard experimental data well.