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Design and Optimization of Ship Hydrodynamics
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Design and Optimization of Ship Hydrodynamics

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 July 2026 | Viewed by 1931

Special Issue Editor

Prof. Dr. Gregory Grigoropoulos

E-Mail Website
Guest Editor
Department of Naval Architecture and Marine Engineering, National Technical University of Athens (NTUA), Athens, Greece
Interests: optimization; biomimetic methods; ship design; ship hydrodynamics; operational efficiency; performance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since the early 1990s, ship design has been closely associated with the optimization of the hull and the onboard systems. Designers rely on advanced tools to evaluate the hydrodynamic characteristics of the hull and the propulsion system and to shape and configure them for optimum performance throughout a vessel’s service life. Recent stringent regulations imposed by the IMO and other maritime bodies have prompted ship designers to focus on reducing fuel consumption—and consequently, greenhouse gas (GHG) emissions—through the integration of energy-saving devises (ESD) and the exploitation of wind and sun energy. The implementation of these systems, along with the adoption of alternative fuels with reduced or zero GHG emissions, necessitates revised hull form designs to accommodate these innovations. The ship’s hydrodynamic performance—including resistance, propulsion, seakeeping and manoeuvring characteristics—is significantly affected by such modifications.

High-quality papers are encouraged for publication, particularly those that focus on the design aspects described above. Submissions proposing novel or innovative methodologies are especially welcome.

Prof. Dr. Gregory Grigoropoulos
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 250 words) can be sent to the Editorial Office for assessment.

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 semimonthly 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

  • optimization
  • biomimetic methods
  • ship design
  • ship hydrodynamics
  • operational efficiency
  • performance

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Published Papers (2 papers)

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Research

26 pages, 4915 KB  
Article
A U-Net-Based Prediction of Surface Pressure and Wall Shear Stress Distributions for Suboff Hull Form Family
by Yongmin Seok, Jeongbeom Seo and Inwon Lee
J. Mar. Sci. Eng. 2026, 14(1), 3; https://doi.org/10.3390/jmse14010003 - 19 Dec 2025
Cited by 1 | Viewed by 726
Abstract
Recent developments in machine learning have enabled prediction models that estimate not only hydrodynamic force coefficients but also full CFD fields. Unlike conventional surrogate models that focus primarily on integrated quantities, such approaches can provide real-time predictions of pressure and wall shear stress [...] Read more.
Recent developments in machine learning have enabled prediction models that estimate not only hydrodynamic force coefficients but also full CFD fields. Unlike conventional surrogate models that focus primarily on integrated quantities, such approaches can provide real-time predictions of pressure and wall shear stress distributions, making them highly promising for applications in ship hydrodynamic design where detailed surface flow characteristics are essential. In this study, we address the low prediction accuracy observed near protruding appendages in U-Net-based field prediction models by introducing a positional encoding (PE)-enhanced data processing scheme and evaluating its performance across a dataset of 500 SUBOFF variants. While PE enhances prediction accuracy, especially for the sail, its effectiveness is constrained by the boundary discontinuity introduced at the 12 o’clock seam. To resolve this structural limitation and ensure consistent accuracy across components, the projection seam is relocated to the 6 o’clock position, where high-gradient flow features are less concentrated. This modification produces clear quantitative gains: the drag-integrated MAPE decreases from 3.61% to 1.85%, and the mean field-level errors of ∆Cp and ∆Cf are reduced by approximately 5.6% across the dataset. These results demonstrate that combining PE with seam relocation substantially enhances the model’s ability to reconstruct fine-scale flow features, improving the overall robustness and physical reliability of U-Net-based surface field prediction for submarine hull forms. Full article
(This article belongs to the Special Issue Design and Optimization of Ship Hydrodynamics)
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33 pages, 8948 KB  
Article
Numerical Simulations of Propulsion Performance of Hull–Propeller–Rudder–Coupled System with Propeller Boss Cap Fins (PBCFs)
by Xiaoqing Tian, Haoliang Zhao, Jinliang Ma, Ming Lv, Hooi-Siang Kang, Junting Wang, Huachen Pan, Du Lin, Songkai Ren and Chizhong Wang
J. Mar. Sci. Eng. 2025, 13(12), 2404; https://doi.org/10.3390/jmse13122404 - 18 Dec 2025
Viewed by 730
Abstract
Ship propulsion performance is important for navigating. This study aims to enhance the propulsion performance of a 9500 DWT ship by integrating PBCFs into the hull–rudder–propeller–coupled system. A total of 27 PBCF models with different fin installation angles, radius ratio, and tilt angles [...] Read more.
Ship propulsion performance is important for navigating. This study aims to enhance the propulsion performance of a 9500 DWT ship by integrating PBCFs into the hull–rudder–propeller–coupled system. A total of 27 PBCF models with different fin installation angles, radius ratio, and tilt angles are designed in the study. The computational fluid dynamics method is employed and a propeller open-water test is also performed to optimize the PBCF design, which is integrated into different coupled systems. The numerical results show that the PBCFs exhibit differential enhancements of propeller performance across system configurations with their efficiency changing from 4.05% to 2.87%. Moreover, the reliability of ship self-propulsion simulation is mutually validated through the combined BF (body force) and MRF (multi-reference frame) methods. Then, simulations were conducted using these two methods for the self-propulsion of a 9500 DWT ship at three different speeds. Finally, the results from using the MRF method show that the incorporation of PBCFs can reduce delivered power to propeller by 1.32% at different Fr. Full article
(This article belongs to the Special Issue Design and Optimization of Ship Hydrodynamics)
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