Application of CFD Numerical Modeling in Ocean and Coastal Engineering

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (5 April 2025) | Viewed by 3155

Special Issue Editor


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Guest Editor
Department of Civil Engineering, Korea Maritime & Ocean University, Busan 49112, Republic of Korea
Interests: interactions between waves and coastal structures; numerical wave tank based on CFD; wave energy converter system; applications of machine learning

Special Issue Information

Dear Colleagues,

Recently, numerical analyses utilizing CFD models have become crucial for solving a range of engineering challenges within coastal and harbor engineering. Furthermore, increasingly sophisticated computational schemes are being developed to improve the precision of CFD modeling, establishing it as a field that demands significant computational expertise. This Special Issue invites contributions exploring diverse applications of CFD modeling within ocean and coastal engineering, as well as cutting-edge research on hybrid models combined with artificial intelligence. This Special Issue encompasses a breadth of topics pertinent to CFD numerical modeling in ocean and coastal engineering.

Prof. Dr. Kwangho Lee
Guest Editor

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Keywords

  • turbulence modeling
  • fluid–structure interaction (FSI)
  • mesh generation and optimization
  • multiphase flow simulation
  • boundary condition treatment

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Published Papers (4 papers)

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Research

17 pages, 10087 KiB  
Article
Numerical Analysis of Roll Hydrodynamic Coefficients of 2D Triangular Cylinder Using OpenFOAM
by Eunchong Hwang and Kyung-Kyu Yang
J. Mar. Sci. Eng. 2025, 13(3), 391; https://doi.org/10.3390/jmse13030391 - 20 Feb 2025
Viewed by 436
Abstract
Predicting the roll damping coefficient of a ship is a crucial factor in determining the dynamic stability of the vessel. However, a nonlinear analysis that considers the viscosity of the fluid is required to accurately estimate the roll damping coefficient. This study numerically [...] Read more.
Predicting the roll damping coefficient of a ship is a crucial factor in determining the dynamic stability of the vessel. However, a nonlinear analysis that considers the viscosity of the fluid is required to accurately estimate the roll damping coefficient. This study numerically analyzed the hydrodynamic coefficients related to the roll motion of ships, focusing on the eddy-making damping coefficient. A series of forced vibration tests were conducted on a two-dimensional triangular cylinder floating on the water surface. The overset method and the volume-of-fluid method were applied, and the governing equations were solved using the open-source software OpenFOAM v2106. Uncertainties in the grid size and time intervals were identified through the International Towing Tank Conference (ITTC) procedure, and the obtained hydrodynamic coefficients were compared with available experimental data and potential flow results. Additionally, eddy-making damping was extracted from the shed vortex for various excitation frequencies and amplitudes. The study found that the uncertainty in the roll damping coefficient was less than 8%, with eddy-making damping being the dominant factor influencing the results. Numerical results showed a good agreement with experimental data, with an average deviation of 4.4%, highlighting the importance of considering nonlinear effects at higher excitation amplitudes. Comparison with experimental data and empirical formulas revealed that the nonlinearity due to the excitation amplitude must be considered in empirical formulations. Full article
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17 pages, 4387 KiB  
Article
Smoke Simulation with Detail Enhancement in Ship Fires
by Rui Tao, Hongxiang Ren, Xiao Yang, Delong Wang and Jian Sun
J. Mar. Sci. Eng. 2025, 13(1), 101; https://doi.org/10.3390/jmse13010101 - 7 Jan 2025
Viewed by 715
Abstract
Smoke simulation is a crucial yet challenging aspect of constructing ship fire scenarios. For the Eulerian smoke simulation method, the low-resolution grid results in a loss of smoke detail, while the high-resolution grid faces significant computational costs. To address this issue, a detail [...] Read more.
Smoke simulation is a crucial yet challenging aspect of constructing ship fire scenarios. For the Eulerian smoke simulation method, the low-resolution grid results in a loss of smoke detail, while the high-resolution grid faces significant computational costs. To address this issue, a detail enhancement approach is proposed for smoke simulation in ship fire scenarios based on vortex particles, aiming at high-realism smoke simulation on a low-resolution grid. The simulation domain is first discretized using a low-resolution grid to compute the basic flow. Next, the vortex particles are sampled within the grid, and the loss of vorticity is measured before and after vortex stretching to compensate for the missing smoke details. In our approach, a geometric method is employed to efficiently capture the stretching of vortex structures. The computational results demonstrate that turbulence details can be effectively captured in a low-resolution grid while maintaining the real-time performance of the simulation. The practical application value of our approach is demonstrated in improving the realism of ship fire scenarios. Full article
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21 pages, 3409 KiB  
Article
Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing
by Chih-Wen Cheng, Yu-An Tzeng, Ming-Hsiung Chang, Shang-Chi Liu, Ho-King Cheung and Ching-Yeh Hsin
J. Mar. Sci. Eng. 2025, 13(1), 42; https://doi.org/10.3390/jmse13010042 - 30 Dec 2024
Viewed by 691
Abstract
This study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions. The study focused on improving the prediction of speed loss in [...] Read more.
This study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions. The study focused on improving the prediction of speed loss in irregular waves for container ships and further applying this to ship-optimized voyage planning. Dynamic programming was used for optimized voyage planning by modifying the ship course in response to meteorological data; this approach could balance both energy efficiency and safety. The modified speed loss predictions aligned closely with the simulation results, enhancing the reliability of weather routing decisions. Case studies for trans-Pacific and trans-Atlantic voyages demonstrated that the proposed system could significantly reduce the voyage time. These findings highlight the potential of real-time updates in voyage planning. The proposed system is a valuable tool for captains and fleet managers. The applicability of this system can be further broadened by validating it on different ship types. Full article
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15 pages, 5185 KiB  
Article
Numerical Simulation of Self-Propelled Dive Motion of a Virtual Mooring Buoy
by Hongyu Li, Huijie Cao, Jiayi Xu, Wenxin Li, Qingfeng Ma and Weizhuang Ma
J. Mar. Sci. Eng. 2024, 12(12), 2120; https://doi.org/10.3390/jmse12122120 - 21 Nov 2024
Viewed by 847
Abstract
To verify the feasibility of the variable wing actuator for a virtual mooring buoy, this paper investigates the self-propelled dive motion of a virtual mooring buoy under hydrostatic variable density conditions using a computational fluid dynamics (CFD) approach. The virtual mooring buoy developed [...] Read more.
To verify the feasibility of the variable wing actuator for a virtual mooring buoy, this paper investigates the self-propelled dive motion of a virtual mooring buoy under hydrostatic variable density conditions using a computational fluid dynamics (CFD) approach. The virtual mooring buoy developed by our research group is used in this study, and the numerical simulation is performed using the Reynolds-averaged Navier–Stokes (RANS) equation and the SST K-Omega turbulence model to capture the turbulent flow. Grid convergence studies were conducted at three grid resolutions to ensure the accuracy of the numerical simulations. The effects of different wing angles on the self-propelled dive motion of the buoy are focused on and analyzed. The results show that the maximum velocity of the buoy in the horizontal direction can reach 0.31 m/s, with a wing angle of −8°, which is about 35% higher than that of 0°, effectively enhancing the buoy’s anti-disturbance capability against the horizontal currents. In addition, this study further analyzes the self-propelled dive motion of the buoy with variable wing angles. The results show that the velocity and attitude of the buoy at any moment are basically the same as those under the corresponding fixed wing angle. This shows that it is possible to change the motion of the buoy by varying the wing angle, verifying the feasibility of the variable wing actuator. Full article
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