Computational study on turbulent flows around modern tanker hull forms

Kim, Wu-Joan; Kim, Do‐Hyun; Van, Suak-Ho

doi:10.1002/fld.230

Cited by 35 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was determined that the realizable k-turbulence model accurately predicted the strength and location of the bilge vortex, but both the standard k-and RNG k-turbulence models failed to predict this ow feature. All three turbulence models predicted di erences for the two hull forms with respect to wake distribution and pressure drag, but again the standard k-and RNG k-turbulence models showed poorer correlation to the experimental data [12].…”

Section: Introductionmentioning

confidence: 96%

“…Rather, like the work presented by Kim et al [12], it is intended as a guide to researchers and designers who are working on a similar problem: hydrofoil ow at high Reynolds number. The characteristics of this ow are that the boundary layer on the suction surface is subjected to a large adverse pressure gradient, where the boundary layer separation commences.…”

Section: Introductionmentioning

confidence: 96%

“…Unlike the work presented by Speziale et al [4], Lien and Leschziner [7] and Pajayakrit and Kind [9], Kim et al [12] evaluated three widely applied and economic turbulence models for a practical problem; the hull form design of a very large crude-oil carrier. The turbulence models evaluated were the standard kmodel, the RNG kmodel and the realizable kmodel.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of two‐equation turbulence modelling for high Reynolds number hydrofoil flows

Mulvany

Chen

et al. 2004

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYThis paper presents an evaluation of the capability of turbulence models available in the commercial CFD code FLUENT 6.0 for their application to hydrofoil turbulent boundary layer separation ow at high Reynolds numbers. Four widely applied two-equation RANS turbulence models were assessed through comparison with experimental data at Reynolds numbers of 8:284 × 10 6 and 1:657 × 10 7 . They were the standard k-model, the realizable k-model, the standard k-! model and the shear-stress-transport (SST) k-! model. It has found that the realizable k-turbulence model used with enhanced wall functions and near-wall modelling techniques, consistently provides superior performance in predicting the ow characteristics around the hydrofoil.

show abstract

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of two‐equation turbulence modelling for high Reynolds number hydrofoil flows

Mulvany

Chen

et al. 2004

Numerical Methods in Fluids

View full text Add to dashboard Cite

show abstract

“…Comprehensive experimental data are available ranging from towing tank measurements [20][21][22][23][24] to wind tunnel experiments [25]. There are also a significant number of computational studies [26][27][28][29][30][31][32]. In addition, the KVLCC2 was one of the benchmark tests in the ship hydrodynamics CFD workshops Gothenburg 2000 [27] and Tokyo 2005 [24,33].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of linear and nonlinear convection schemes on multidimensional non‐orthogonal grids with applications to KVLCC2 tanker

Ismail

Carrica

Xing

et al. 2009

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYAlmost all evaluations of convection schemes reported in the literature are conducted using simple problems on uniform orthogonal grids; thus, having limited contribution when solving industrial computational fluid dynamics (CFD), where the grids are usually non-orthogonal with distortions. Herein, several convection schemes are assessed in uniform and distorted non-orthogonal grids with emphasis on industrial applications. Linear and nonlinear (TVD) convection schemes are assessed on analytical benchmarks in both uniform and distorted grids. To evaluate the performance of the schemes, four error metrics are used: dissipation, phase and L 1 errors, and the schemes' effective order of accuracy. Qualitative and quantitative deterioration of these error metrics as a function of the grid distortion metrics are investigated, and rigorous verifications are performed. Recommendations for effective use of the convection schemes based on the range of grid aspect ratio (AR), expansion ratio (ER) and skewness (Q) are included. A ship hydrodynamics case is studied, involving a Reynolds averaged Navier-Stokes simulation of a bare-hull KVLCC2 tanker using linear and nonlinear convection schemes coupled with isotropic and anisotropic Reynolds-stress (ARS) turbulence models using CFDShip-Iowa v4. Predictions of local velocities and turbulent quantities from the midships to the nominal wake plane are compared with experimental fluid dynamics (EFD), and rigorous verification and validation analyses for integral forces and moments are performed for 0 • and 12 • drift angles. Best predictions are observed when coupling a second-order TVD scheme with the anisotropic turbulence model. Further improvements are observed in terms of prediction of the vortical structures for 30 • drift when using TVD2S-ARS coupled with DES.

show abstract

“…Korea Ocean Research and Development Institute (KORDI) developed a CFD code for the prediction of ship resistance and propulsion performances (Kim et al, 2002). Many shipbuilding companies in Korea adopted the code as their CFD tool for hull form development.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the wall function implementation for the prediction of ship resistance

Park

Rhee

et al. 2013

International Journal of Naval Architecture and Ocean Engineeri

View full text Add to dashboard Cite

A computational fluid dynamics (CFD) code, dubbed SNUFOAM, was developed to predict the performance of ship resistance using a CFD tool kit with open source libraries. SNUFOAM is based on a pressure-based cellcentered finite volume method and includes a turbulence model with wall functions. The mesh sensitivity, such as the skewness and aspect ratio, was evaluated for the convergence. Two wall functions were tested to solve the turbulent flow around a ship, and the one without the assumption of the equilibrium state between turbulent production and dissipation in the log law layer was selected. The turbulent flow around a ship simulated using SNUFOAM was compared to that by a commercial CFD code, FLUENT. SNUFOAM showed the nearly same results as FLUENT and proved to be an alternative to commercial CFD codes for the prediction of ship resistance performance. NOMENCLATUREG k Production of turbulent kinetic energy [kg/ms 3 ] I Unit tensor [-] k Turbulent kinetic energy [m 2 /s 2 ] P Pressure [Pa] p Estimated order of accuracy of the computational method [-] RE Richardson extrapolated value [-] Re Reynolds number [-] u τ Friction velocity [m/s] U ∞ Free stream velocity [m/s] v r Velocity vector [m/s] y p Distance from wall to cell center [m] ε Turbulent dissipation rate [m 2 /s 3 ] μ Viscosity [kg/m-s] μ eff Effective viscosity [kg/m-s] μ t Turbulent viscosity [kg/m-s] ν t Turbulent eddy viscosity [m 2 /s] ρ Density [kg/m 3 ] κ Surface roughness [-] τ Turbulent stress tensor [Pa] τ w Wall shear stress [Pa] ϕ Computational solution variable for uncertainty assessment [-] =

show abstract

Computational study on turbulent flows around modern tanker hull forms

Cited by 35 publications

References 12 publications

Assessment of two‐equation turbulence modelling for high Reynolds number hydrofoil flows

Assessment of two‐equation turbulence modelling for high Reynolds number hydrofoil flows

Evaluation of linear and nonlinear convection schemes on multidimensional non‐orthogonal grids with applications to KVLCC2 tanker

Investigation on the wall function implementation for the prediction of ship resistance

Contact Info

Product

Resources

About