Computations of self-propulsion free to sink and trim and of motions in head waves of the KRISO Container Ship (KCS) model |
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| Authors: | Pablo M Carrica Huiping Fu Frederick Stern |
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| Institution: | aIIHR-Hydroscience and Engineering, The University of Iowa, USA;bSchool of NAOCE, Shanghai Jiao Tong University, China |
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| Abstract: | Two computations of the KCS model with motions are presented. Self-propulsion in model scale free to sink and trim are studied with the rotating discretized propeller from the Hamburg Model Basin (HSVA) at Fr = 0.26. This case is particularly complex to simulate due to the close proximity of the propeller to the rudder. The second case involves pitch and heave in regular head waves. Computations were performed with CFDShip-Iowa version 4.5, a RANS/DES CFD code designed for ship hydrodynamics. The self-propulsion computations were carried out following the procedure described in Carrica et al. 1], in which a speed controller is used to find the propeller rotational speed that results in the specified ship velocity. The rate of revolutions n, sinkage, trim, thrust and torque coefficients KT, KQ and resistance coefficient CT(SP) are thus obtained. Comparisons between CFD and EFD show that the rate of revolutions n, thrust and torque coefficients KT and KQ have higher prediction accuracies than sinkage and trim. For the simulation of pitch and heave in head waves, the geometry includes KCS hull and rudder under three conditions with two Froude numbers and three wave length and amplitude combinations. 0th and 1st harmonic amplitudes and 1st harmonic phase are computed for total resistance coefficient CT, heave motion z and pitch angle θ. Comparisons between CFD and EFD show that pitch and heave are much better predicted than the resistance. In both cases comparisons with simulations by other authors presented at the G2010 CFD Workshop 2] using different CFD methodologies are included. |
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| Keywords: | Self-propulsion Seakeeping Sinkage and trim KCS Container Ship Computational fluid dynamics Dynamic overset grids |
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