Research Papers: CFD and VIV

Thruster and Hull Interaction

[+] Author and Article Information
Ye Tian, Spyros A. Kinnas

Department of Civil, Architectural and
Environmental Engineering,
The University of Texas at Austin,
Austin, TX 78712

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received August 12, 2014; final manuscript received March 24, 2015; published online April 17, 2015. Assoc. Editor: Daniel T. Valentine.

J. Offshore Mech. Arct. Eng 137(4), 041801 (Aug 01, 2015) (7 pages) Paper No: OMAE-14-1109; doi: 10.1115/1.4030254 History: Received August 12, 2014; Revised March 24, 2015; Online April 17, 2015

A hybrid method which couples a vortex-lattice method (VLM) solver and a Reynolds-Averaged Navier–Stokes (RANS) solver is applied to simulate the interaction between a dynamic positioning (DP) thruster and a floating production storage and offloading (FPSO) hull. The hybrid method can significantly reduce the number of cells to fifth of that in a full-blown RANS simulation and thus greatly enhance the computational efficiency. The numerical results are first validated with available experimental data, and then used to assess the significance of the thruster/hull interaction in DP systems.

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Fig. 1

VLM grid 18 (spanwise) × 20 (chordwise) for open propeller DTMB 4119

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Fig. 2

Comparison of the performance predicted by potential flow solvers and measured in experiment, for DTMB 4119

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Fig. 3

Schematic plot of the control points where the effective wake is evaluated

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Fig. 4

Schematic diagram of the coupling algorithm

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Fig. 5

Axial body force distribution at J = 0.7 for a propeller in a duct with round trailing edge, normalized by the inflow velocity U

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Fig. 6

Axial velocity and streamlines around the duct at J = 0.7, from Ref. [10], the velocity is normalized by nD

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Fig. 7

Comparison of the predicted propeller and duct forces and the experimental measurement, from Ref. [10]

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Fig. 8

Comparison of the detailed pressure distributions from the hybrid method and the full-blown RANS simulation for a ducted propeller at J = 0.4. The propeller was investigated by Dyne [15]. (a) r/R = 0.65 and (b) r/R = 0.8.

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Fig. 9

Three-dimensional view of the computational domain

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Fig. 10

Detailed dimensions of the computational domain

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Fig. 11

Dimensions of hull

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Fig. 12

Surface RANS grid on the duct and the hub

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Fig. 13

Cross section of the hub and the duct, normalized by nD

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Fig. 14

VLM grid for the propeller P-4929

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Fig. 15

Comparison of the axial velocity (in m/s) profile at 857 rpm between the numerical prediction and experimental measurement, at three different cutting planes whose locations are shown in Fig. 16. The experimental data are extracted from Fig. 3.37 in Ref. [3], p. 88.

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Fig. 16

Axial velocity (in m/s) contour at 857 rpm in a vertical cutting plane passing the center of thruster

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Fig. 17

RANS grid at the z = 0 plane, before and after refinement

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Fig. 18

Effective wake at a cutting plane passing the center of the thruster, normalized by nD, where n and D present the RPS and the diameter of the propeller, respectively

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Fig. 19

Axial velocity (in m/s) when the DP thruster working at 857 rpm in open water on bollard pull condition



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