2019
DOI: 10.1080/17445302.2019.1697091
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Experimental and numerical study on the scale effect of stern flap on ship resistance and flow field

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Cited by 18 publications
(12 citation statements)
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“…The bow flat was not considered because it was hard to be installed on this vehicle. Previous analogous researches have been carried out on deep-vee ship, with a drag-reduction rate of less than 10% [15], [16]. That could not meet our requirement.…”
Section: Introductionmentioning
confidence: 87%
“…The bow flat was not considered because it was hard to be installed on this vehicle. Previous analogous researches have been carried out on deep-vee ship, with a drag-reduction rate of less than 10% [15], [16]. That could not meet our requirement.…”
Section: Introductionmentioning
confidence: 87%
“…The latter method is more efficient and convenient than the model test method in analysing the flow field, which allows designers to develop or improve their design for hydrodynamics optimization studies [4,5]. In recent years, for numerical simulation, the Reynolds Averaged Navier-Stokes Equations (RANSE) approach has been widely used for ship hydrodynamic prediction in general [6][7][8] and ship resistance prediction in particular, due to sufficient accuracy and efficient computation for engineering purposes [9][10][11][12][13][14][15][16][17][18]. Therefore, this research will focus on studying the influence of the L/B parameter on ship resistance by using the RANSE method.…”
Section: Introductionmentioning
confidence: 99%
“…A preferred alternative method, the RANSE approach, could provide more detailed information on the flow around the ship hull, acceptably reliable results, less time, and lower cost than experimental method [1]. Therefore, the RANSE method has been broadly applied in studying the flow around the hull and predicting the ship's hydrodynamic parameters [1][2][3][4][5][6][7][8][9]. As proof, the study conducted by Satu Hänninen & Juha Sehweighofer [2] on the flow around the containership Hamburg Test Case at various model scales using the numerical RANSE method.…”
Section: Introductionmentioning
confidence: 99%