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Advancements in Marine Hydrodynamics and Structural Optimization
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Advancements in Marine Hydrodynamics and Structural Optimization

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: 15 March 2026 | Viewed by 1785

Special Issue Editor

Prof. Dr. Zhi Zong

E-Mail Website
Guest Editor
School of Vehicles and Intelligent Transportation, Fuyao University of Science and Technology, Fuzhou, China
Interests: hydrodynamics; marine vehicles; multi-hulled ships; water entry and exit; cross-medium; high-speed; autonomous; bio-inspired; morphing designs

Special Issue Information

Dear Colleagues, 

Surging demands in high-speed, intelligent, and multi-objective marine transportation  have promoted fast development in hydrodynamics and structure analysis for trimaran ships, cross-medium vehicles, autonomous vehicles, and wing-in-ground (WIG) effect vehicles, to name a few, over the past decade. In this Special Issue, renowned scholars are invited to present their latest research in these fields.

The aim of this Special Issue is to summarize innovative research over the past few decades and reveal possible emerging trends in these fields. Studies on the configuration hydrodynamics of trimaran ships, high-speed water entry and exit hydrodynamics, buffering of high-speed water entry, WIG theory, AUV hydrodynamics, and structural analysis are welcome.

High-quality papers are encouraged for publication, covering topics directly related to the various aspects mentioned below, alongside novel techniques:

  • Hydrodynamics and structural optimization for marine vehicles;
  • Trimaran ships;
  • Marine autonomous vehicles (submarine, surface, and amphibious);
  • Air–water dynamic analysis for WIG crafts;
  • High-speed water entry and exit;
  • Cross-medium vehicles;
  • Bio-inspired and morphing designs. 

Prof. Dr. Zhi Zong
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

  • hydrodynamics
  • structure optimization
  • marine vehicles
  • multi-hulled ships
  • water entry and exit
  • cross-medium
  • high speed
  • autonomous

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

18 pages, 3158 KB  
Article
From Kelvin Wave Patterns to Ship Displacement: An Inverse Prediction Framework Based on a Hull Form Database
by Chao Ma, Linwei Wang, Yingjiang Zhao, Haolin Yang, Haoqing Huang and Bohan Cao
J. Mar. Sci. Eng. 2025, 13(10), 2019; https://doi.org/10.3390/jmse13102019 - 21 Oct 2025
Viewed by 160
Abstract
The estimation of a ship’s displacement volume, ∇, from remote sensing data is of considerable practical value for maritime surveillance and vessel characterization. This paper introduces a practical framework for the inverse estimation of displacement volume from Kelvin ship waves, building upon a [...] Read more.
The estimation of a ship’s displacement volume, ∇, from remote sensing data is of considerable practical value for maritime surveillance and vessel characterization. This paper introduces a practical framework for the inverse estimation of displacement volume from Kelvin ship waves, building upon a prior study through two key extensions. First, the wave amplitude function is recovered using Fourier series expansions combined with the stationary phase method. The displacement volume is then estimated via a two-step procedure: an initial estimate is obtained by identifying a hull with similar amplitude characteristics from a database, followed by a refinement that incorporates discrepancies between the target and candidate wave amplitude functions. In the case studied, the proposed approach achieves a prediction error of 4.02%, demonstrating its potential for non-invasive extraction of hull information from remote sensing data. Full article
(This article belongs to the Special Issue Advancements in Marine Hydrodynamics and Structural Optimization)
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27 pages, 5203 KB  
Article
Mechanisms of Freak Wave Generation from Random Wave Evolution in 3D Island-Reef Topography
by Aimin Wang, Tao Zhou, Dietao Ding, Xinyu Ma and Li Zou
J. Mar. Sci. Eng. 2025, 13(10), 1926; https://doi.org/10.3390/jmse13101926 - 9 Oct 2025
Viewed by 253
Abstract
The mechanisms of freak wave generation in 3D island-reef topography are investigated. Four types of freak waves are investigated, based on the wavelet transform for examining the characteristics of freak waves and their mechanism. The freak waves come from a three-dimensional experimental terrain [...] Read more.
The mechanisms of freak wave generation in 3D island-reef topography are investigated. Four types of freak waves are investigated, based on the wavelet transform for examining the characteristics of freak waves and their mechanism. The freak waves come from a three-dimensional experimental terrain model in a random wave. The wavelet energy spectrum, scale-averaged and time-averaged wavelet spectrum are considered. A new parameter (scale-centroid wavelet spectrum) is defined, based on the wavelet transform algorithm, to quantitatively analyze and further estimate the energy transfer process. The results suggest that the occurrence of freak waves is associated with the gradual alignment of the phases of wave components. The nonlinear interaction in terms of wavelet cross-bispectrum implies that wave–wave interaction, especially with high-frequency components, is obviously enhanced during a freak wave occurrence. The energy transforms to a high frequency during a freak wave occurrence. The current result forms a definite indication that the occurrence of freak waves is caused by the combined effects of linear superposition and nonlinear interactions. Linear superposition begins to take effect long before the freak wave occurs, whereas nonlinear interactions primarily occur during the shorter period just before the freak wave forms. It provides an important reference for the prediction of abnormal waves. Full article
(This article belongs to the Special Issue Advancements in Marine Hydrodynamics and Structural Optimization)
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17 pages, 8174 KB  
Article
Calculation and Analysis of Rolling Hydrodynamic Coefficients of Free-Flooding Ship Based on CFD
by Chaofan Li, Yuehu Teng, Min Xu and Renchuan Zhu
J. Mar. Sci. Eng. 2025, 13(10), 1857; https://doi.org/10.3390/jmse13101857 - 25 Sep 2025
Viewed by 322
Abstract
As free-flooding ships are a type of vessel with openings on their hull surfaces, accurately calculating and analyzing their roll hydrodynamic coefficients is of great significance for ship motion prediction. Based on the STAR CCM+ platform that employs the computational fluid dynamics (CFD) [...] Read more.
As free-flooding ships are a type of vessel with openings on their hull surfaces, accurately calculating and analyzing their roll hydrodynamic coefficients is of great significance for ship motion prediction. Based on the STAR CCM+ platform that employs the computational fluid dynamics (CFD) method, this paper first conducts numerical simulations of the forced roll motion of a damaged DTMB-5415 ship model. The applicability of this method to side-opening ship types is verified by comparing with experimental results. Subsequently, this numerical method is applied to simulate the forced roll of a free-flooding aquaculture ship under different working conditions, and the roll hydrodynamic coefficients of its hull and internal compartments are calculated and analyzed. The roll hydrodynamic coefficients of the intact ship and the free-flooding ship are compared. The results indicate the characteristics of roll hydrodynamic coefficients of free-flooding ships, and this research will facilitate the prediction of roll motion for this ship type. Full article
(This article belongs to the Special Issue Advancements in Marine Hydrodynamics and Structural Optimization)
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22 pages, 5038 KB  
Article
Numerical Investigation of Flow Field Characteristics Around a Monopile Foundation with Collar Protection
by Lei Wu, Hao Meng, Haifei Sun, Lingfei Yu, Dake Chen, Xiyu Zhao and Dawei Guan
J. Mar. Sci. Eng. 2025, 13(10), 1841; https://doi.org/10.3390/jmse13101841 - 23 Sep 2025
Viewed by 304
Abstract
Collar structures are widely used to protect monopile foundations from scour, but their geometric obstruction hinders direct observation of the surrounding flow in physical experiments. To overcome this limitation, this study employs large-eddy simulation (LES) to investigate the flow characteristics around a monopile [...] Read more.
Collar structures are widely used to protect monopile foundations from scour, but their geometric obstruction hinders direct observation of the surrounding flow in physical experiments. To overcome this limitation, this study employs large-eddy simulation (LES) to investigate the flow characteristics around a monopile with collar protection. The LES model was validated against well-documented experimental data of pile-induced flow, confirming its reliability. Simulations under flat-bed and equilibrium scour conditions were conducted to evaluate the effects of the collar on time-averaged velocity, vortex dynamics, and turbulence intensity. The results show that the collar substantially weakens the upstream accelerated flow, suppresses horseshoe vortex formation, and reduces both the strength and extent of sidewall currents. Under flatbed conditions, the side-flow intensity decreases by 24.3% and the accelerated flow area is reduced by 93.3%. A counter-rotating vortex beneath the collar dissipates kinetic energy and simplifies the near-bed vortex system, thereby mitigating scour. However, the protective effect diminishes with increasing inflow velocity, with turbulence intensity rising by 159% for a 14% velocity increase. Overall, this study provides deeper insights into the protective mechanisms of collar structures, advancing the understanding of their effectiveness and limitations in monopile scour protection. Full article
(This article belongs to the Special Issue Advancements in Marine Hydrodynamics and Structural Optimization)
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18 pages, 8099 KB  
Article
Machine Learning-Based Recursive Prediction and Application of Green’s Function of Water-Wave Radiation and Diffraction
by Minmin Zheng, Xinsheng Fan, Chuanqing Li, Jianpeng Li, Duolun He and Renchuan Zhu
J. Mar. Sci. Eng. 2025, 13(8), 1488; https://doi.org/10.3390/jmse13081488 - 1 Aug 2025
Cited by 1 | Viewed by 385
Abstract
The frequency-domain free-surface Green’s function method is widely used in solving ship hydrodynamic problems, with its core challenge lying in the computation of the Green’s function and its partial derivatives. This study analyzes the relationship between the free-surface Green’s function and its derivatives, [...] Read more.
The frequency-domain free-surface Green’s function method is widely used in solving ship hydrodynamic problems, with its core challenge lying in the computation of the Green’s function and its partial derivatives. This study analyzes the relationship between the free-surface Green’s function and its derivatives, proposing a machine learning-based recursive prediction method termed the pulsating source recursive prediction method. The accuracy and efficiency of this method under various parameter settings are investigated, and its application to the hydrodynamic calculations of container ship S175 and a bulk carrier is demonstrated. Results show that the predicted Green’s function achieves an accuracy of 3–6 decimals, with computational efficiency surpassing numerical methods and matching analytical approaches. The hydrodynamic results are reliable, confirming the method’s practical value. Full article
(This article belongs to the Special Issue Advancements in Marine Hydrodynamics and Structural Optimization)
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