2015
DOI: 10.1177/1475090215599180
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Prediction of wave resistance by a Reynolds-averaged Navier–Stokes equation–based computational fluid dynamics approach

Abstract: The prediction of wave resistance in naval architecture is an important aspect especially at high Froude numbers where a great percentage of total resistance of ships and submerged bodies is caused by waves. In addition, during hull form optimization, wave resistance characteristics of a ship must closely be observed. There are potential, viscous and experimental methods to determine the wave resistance of a ship. Reynolds-averaged Navier-Stokes equation-based methods usually follow the experimental method tha… Show more

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Cited by 6 publications
(6 citation statements)
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“…Simulations were performed using the standard k-ε model (Jones and Launder, 1972) in two-layer formulation (Rodi, 1991). While there are limitations associated with the k-ε turbulence model (Lloyd and Espanoles, 2002), this model results in a significant reduction of computational time, and examples in the literature have demonstrated that the k-ε model turbulence mode provides accurate results for geometries and flow conditions comparable to those presented in this work (Sridhar et al, 2010;Kinaci et al, 2015). Further, we were interested in relative differences between the forces created by a range of tag geometries and not absolute estimates of force, a question that lends itself well to an efficient computational approach.…”
Section: Computational Fluid Dynamics Simulationsmentioning
confidence: 83%
“…Simulations were performed using the standard k-ε model (Jones and Launder, 1972) in two-layer formulation (Rodi, 1991). While there are limitations associated with the k-ε turbulence model (Lloyd and Espanoles, 2002), this model results in a significant reduction of computational time, and examples in the literature have demonstrated that the k-ε model turbulence mode provides accurate results for geometries and flow conditions comparable to those presented in this work (Sridhar et al, 2010;Kinaci et al, 2015). Further, we were interested in relative differences between the forces created by a range of tag geometries and not absolute estimates of force, a question that lends itself well to an efficient computational approach.…”
Section: Computational Fluid Dynamics Simulationsmentioning
confidence: 83%
“…and (1+k) are assumed constant with scale, while is predicted via a friction line (Molland et al, 2017). Since CFD cannot be used to predict all of these components via a multiphase simulation, one may replace the free-surface with a symmetry plane (Kinaci et al, 2016). Essentially, this is equivalent to removing from Eq.…”
Section: Reynolds-averaged Navier-stokesmentioning
confidence: 99%
“…29,30 Therefore, by performing numerical FSS and DBS, every resistance component can be assessed. Furthermore, as it was lately proven that form factor value is dependent on Reynolds number, 28 computational fluid dynamics (CFD) based on the viscous flow can be used for the improvement of reliability of extrapolation methods, as well as for the reduction of the incremental resistance coefficient. 31 In addition, with the application of the roughness functions for biofilm, the determination of the effect of biofilm on each resistance component is enabled.…”
Section: Resistance Characteristicsmentioning
confidence: 99%
“…Since a body which is fully submerged within a fluid of infinite depth has no wave resistance, C VP can be determined using double body simulation (DBS) by integrating the pressure over the immersed hull surface. 28 In addition, form factor values can be obtained as follows…”
Section: Governing Equationsmentioning
confidence: 99%