CFD validation studies for a high-speed foil-assisted semi-planing catamaran

Kandasamy, Manivannan; Ooi, Seng Keat; Carrica, Pablo M.; Stern, Frederick; Campana, Emilio F.; Peri, Daniële; Osborne, Philip D.; Cote, Jessica; MacDonald, Neil J.; Waal, Nic de

doi:10.1007/s00773-011-0120-7

Cited by 18 publications

(11 citation statements)

References 14 publications

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“…Sridhar et al [15] investigated friction resistance of a ship with a RANS solver. Kandasamy et al [16] showed that RANSE solutions are in good agreement with the experimental ones for a high speed catamaran. Pranzitelli et al [17] investigated the total ship resistance by considering the flow is viscous and steady.…”

Section: Introductionsupporting

confidence: 57%

A Numerical Application to Predict the Resistance and Wave Pattern of Kriso Container Ship

Özdemir

Cosgun

Doğrul

et al. 2016

brod

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SummaryIn this study, the computational results for KRISO Container Ship (KCS) are presented. CFD analyses are performed to simulate free surface flow around KCS by using RANS approach with success. Also the complicated turbulent flow zone behind the ship is well simulated. The RANS equations and the non-linear free surface boundary conditions are discretized by means of a finite volume scheme. The numerical methodology is found to be appropriate for simulating the turbulent flow around a ship in order to estimate ship total resistance and free surface. By the numerical results, total resistance is calculated for the ship model and the result is satisfactory with regard to the experimental one. As a result of well captured free surface, the wave elevation on/around the hull is compared with the experimental results.

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Section: Introductionsupporting

confidence: 57%

A Numerical Application to Predict the Resistance and Wave Pattern of Kriso Container Ship

Özdemir

Cosgun

Doğrul

et al. 2016

brod

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“…However, the assumption of small motions leads to decomposition of unsteady velocity potential R into its components for each of six degrees of rigid body motions. Under such conditions, one may solve the steady flow problem separately and the unsteady velocity potential separately with the free surface boundary condition (5) and the body boundary condition (7). This is accomplished by replacing velocity flow vector W with i and neglecting the steady perturbation velocity potential s,…”

Section: Fully Nonlinear Steady Perturbation Problemmentioning

confidence: 99%

Simulation of blended nonlinear hydrodynamics forces using radial basis function in uniform moving frame

et al. 2020

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This study focuses on the development of a blended technique in moving frame which encompasses nonlinearities and real time simulation of the vital early design parameters using combined exact nonlinear and quasi-nonlinear forcing terms. Generally, a full three-dimensional problem needs to be solved for the precise forward speed correction. However, in this paper the forward speed end corrections are calculated by converting the two dimensional velocity potential into a three dimensional mathematical function using radial basis function then partial differentiation is performed with respect to the longitudinal direction. The difference between the forward speed correction used for time simulation in the blended method and the strip-theory in the frequency domain has been explained. The use of radial basis functions for the estimation of quasi-nonlinear combined radiation and diffraction pressures in moving frame and their conversion between two and three dimensions has been demonstrated and validated experimentally.

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“…Difficulties with the experimentation such as required time, financial matters, scaling issues on the one hand and the improvements in computing power and numerical techniques, on the other, lead the engineers to include CFD methods in their optimization [12][13][14][15][16][17][18]. Recently, with the practical advantages of CFD, surrogate modelswhich are able to replicate the CFD with a reasonable error and without requiring too much computing timeare employed in engineering optimization studies.…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Surrogate Based Aft Form Optimization of Ships Using High Fidelity Solvers

Solak

2020

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Surrogate (metamodel) based optimization has numerous potential applications in the field of naval architecture. It is aimed here to establish a methodology for the aft form optimization for minimum viscous resistance, thus the present study is focused on the aft form where the viscous effects become dominant. It is necessary to solve this problem within acceptable time span from practical naval architectural point of view which requires metamodeling techniques currently under investigation. Accordingly, the present paper investigates the metamodeling ability of the Kriging interpolation and attempts to explore its capabilities and limitations in the aft form optimization from viscous resistance point of view. As metamodeling techniques become more widely used, their constraints are more apparent. Especially in highly nonlinear design spaces, the effect of dimensionality should be taken into consideration. Taking all those factors into account, the present paper is to examine the capabilities of Kriging and to establish the learning performance in terms of RMS error, correlation coefficient and required number of training points according to selected optimization algorithm for multidimensional ship design problem. The results show that, at least 5% reduction in viscous pressure drag can be attained by the present optimization methodology.

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CFD validation studies for a high-speed foil-assisted semi-planing catamaran

Cited by 18 publications

References 14 publications

A Numerical Application to Predict the Resistance and Wave Pattern of Kriso Container Ship

A Numerical Application to Predict the Resistance and Wave Pattern of Kriso Container Ship

Simulation of blended nonlinear hydrodynamics forces using radial basis function in uniform moving frame

Multi-Dimensional Surrogate Based Aft Form Optimization of Ships Using High Fidelity Solvers

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