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Advances in Marine Computational Fluid Dynamics and Wave Studies
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Advances in Marine Computational Fluid Dynamics and Wave Studies

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 (25 March 2024) | Viewed by 2008

Special Issue Editor

Dr. Kue-Hong Chen

E-Mail Website
Guest Editor
Department of Civil Engineering, National Ilan University, Yilan City, Taiwan
Interests: BEM; meshless method; computational acoustics; inverse problem

Special Issue Information

Dear Colleagues,

In the world of advancing computer technology, Computational Fluid Dynamics (CFD) has become an attractive tool for gaining valuable insight into hydrodynamic characteristics. Over the last few decades, the CFD for marine engineering applications has been rapidly gaining popularity. The Special Issue covers the further research of CFD applications and developments in marine environments.

We are pleased to inform researchers in the fluid mechanics and water-wave communities that we are launching a high-impact Special Issue regarding the advanced topic Advances in Marine Computational Fluid Dynamics and Wave Studies. At present, the research of this topic is very important in science, engineering and technology. The topics covered by this Special Issue include but are not limited to: applications of CFD on naval architecture, ocean, marine engineering, CFD-combined method on multiphase flows and applications of novel computational methods on CFD, or other relevant topics.

Dr. Kue-Hong Chen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • two-phase flows
  • unsteady flows
  • fluid–solid interaction
  • mesh-free methods
  • fast multipole expansion method
  • novel numerical method
  • fluid/structure interaction

Published Papers (3 papers)

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Research

20 pages, 7610 KiB  
Article
The Propagation Velocity and Influences of Environmental Factors of Deterministic Sea Wave Prediction in the Long Crest Wave
by Xiao Wang, Hangyu Chen, Xuewen Ma, Zhan Wang, Runsong Zhou and Limin Huang
J. Mar. Sci. Eng. 2024, 12(4), 633; https://doi.org/10.3390/jmse12040633 - 09 Apr 2024
Viewed by 319
Abstract
Ocean waves are one of the leading environmental factors that cause motion of the ocean’s structure. Wave prediction is of great significance for the safety of marine structures. The deterministic sea wave prediction (DSWP) has been focused on because it provided an accurate [...] Read more.
Ocean waves are one of the leading environmental factors that cause motion of the ocean’s structure. Wave prediction is of great significance for the safety of marine structures. The deterministic sea wave prediction (DSWP) has been focused on because it provided an accurate temporal wave surface. The propagation velocity of wave components is one of the critical problems in DSWP. In this paper, the research of propagation velocity is focused on. The Taylor expansion to wave number is used to prove that the group velocity is the propagation velocity of wave components. The simulated irregular long crest wave data is generated. Utilizing the simulated data, the calculated wave surfaces based on group velocity are consistent with the simulated results. Meanwhile, the comparisons of calculated results based on the group velocity and phase velocity are given. Then, a tank experiment is set to verify the prediction results. To further investigate the prediction performance under different conditions, the influences of environmental factors, including the wind speed, water depth and sea state are analyzed in this paper. Full article
(This article belongs to the Special Issue Advances in Marine Computational Fluid Dynamics and Wave Studies)
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20 pages, 10456 KiB  
Article
Application of Regularized Meshless Method with Error Estimation Technique for Water–Wave Scattering by Multiple Cylinders
by Kue-Hong Chen, Jeng-Hong Kao and Yi-Hui Hsu
J. Mar. Sci. Eng. 2024, 12(3), 492; https://doi.org/10.3390/jmse12030492 - 15 Mar 2024
Viewed by 600
Abstract
In this manuscript, we will apply the regularized meshless method, coupled with an error estimation technique, to tackle the challenge of modeling oblique incident waves interacting with multiple cylinders. Given the impracticality of obtaining an exact solution in many real engineering problems, we [...] Read more.
In this manuscript, we will apply the regularized meshless method, coupled with an error estimation technique, to tackle the challenge of modeling oblique incident waves interacting with multiple cylinders. Given the impracticality of obtaining an exact solution in many real engineering problems, we introduce an error estimation technique designed to achieve reliable solutions. This technique excels in providing dependable solutions that closely approximate analytical solutions. An additional advantage is its capacity to identify the optimal number of points for both source and collocating points, thereby enhancing computational efficiency. The validity of the proposed method will be demonstrated through three numerical cases, presenting results that exhibit substantial agreement. Full article
(This article belongs to the Special Issue Advances in Marine Computational Fluid Dynamics and Wave Studies)
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19 pages, 16069 KiB  
Article
A Graphic Processing Unit–High-Order Spectral (GPU-HOS) Numerical Wave Tank for the Simulation of Directional Wave Field Evolution over a Long Time
by Zhuowei Zhou and Ningchuan Zhang
J. Mar. Sci. Eng. 2023, 11(11), 2078; https://doi.org/10.3390/jmse11112078 - 30 Oct 2023
Viewed by 672
Abstract
Existing numerical models for direct simulations of stochastically directional waves are limited by their computational burden, and only a few of them can be applied to modeling directional waves on account of nonlinear evolutions on large time scales. In response to these drawbacks, [...] Read more.
Existing numerical models for direct simulations of stochastically directional waves are limited by their computational burden, and only a few of them can be applied to modeling directional waves on account of nonlinear evolutions on large time scales. In response to these drawbacks, this paper proposes a modified rectangular numerical wave tank based on the high-order spectral (HOS) method. Three main arrangements are responsible for the model improvement. Firstly, the relaxation technique is applied on the four sides of the tank for generating and attenuating waves, with an enhancement in the total computational efforts required of less than 5% being achieved. Secondly, for this paper, the HOS method for solving the nonlinear evolution of waves was modified to a GPU-speedup version for the first time, and the speedup increases dramatically (up to 16-fold) when the grid number is O(106). Thirdly, the higher-order Runge–Kutta method with order 8 is adopted for the purpose of suppressing cumulative temporal errors. Furthermore, several numerical results are presented for the validation of the model. With our modified numerical wave tank, the nonlinear evolutions of random directional waves can be efficiently studied over a large time and space scale. Full article
(This article belongs to the Special Issue Advances in Marine Computational Fluid Dynamics and Wave Studies)
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