Overall Design of Underwater Vehicles

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: 20 May 2026 | Viewed by 989

Special Issue Editors


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Guest Editor
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Interests: overall design of underwater vehicles; digital design of underwater vehicles; multidisciplinary design and optimization of new concept underwater vehicles; digital twin technology for underwater vehicles; data-driven global optimization algorithm theory; lightweight model technology
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Interests: digital design and digital twin of underwater vehicles

Special Issue Information

Dear Colleagues,

Underwater vehicle technology plays a pivotal role in ocean exploration, marine resource development, environmental monitoring, and scientific research. With the growing demand for unmanned and autonomous operations in challenging aquatic environments, the overall design and optimization of underwater vehicles has become essential. Such advancements contribute significantly to improving operational performance, enhancing energy efficiency, increasing maneuverability, and reducing lifecycle costs. This Special Issue focuses on the integrated design approach, covering the advanced theories and applications for underwater vehicles’ hydrodynamic shape, structural form, propulsion systems, intelligent control strategies, trajectory planning, etc. We are pleased to invite submissions for this Special Issue, titled “Overall Design of Underwater Vehicles”. Topics of interest include, but are not limited to, the following:

  • Conceptual design for new-type underwater vehicles;
  • Multidisciplinary design optimization;
  • AI-assisted integrated design;
  • Hydrodynamic modeling and shape optimization;
  • Lightweight design of structure;
  • Energy systems and endurance enhancement;
  • Guidance, navigation, and control strategies;
  • Multi-vehicle coordination and autonomous decision-making;
  • Numerical simulations and experimental validation;
  • Design for extreme underwater conditions;
  • Human–robot interaction and digital twin.

We welcome original research articles, comprehensive reviews, and case studies that present innovative methodologies and practical applications in the field.

Dr. Huachao Dong
Dr. Jinglu Li
Guest Editors

Manuscript Submission Information

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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.

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Keywords

  • new-type underwater vehicles
  • multidisciplinary design optimization
  • AI-assisted integrated design
  • hydrodynamic analysis
  • lightweight design of structure
  • advanced underwater energy system
  • multi-vehicle coordination and planning

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Published Papers (2 papers)

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Research

20 pages, 13742 KB  
Article
The Influence of Pectoral Fin Bending Morphology on the Gliding Performance of Manta Ray-like UUVs
by Yonghui Cao, Xinyu Lei, Cheng Xing, Minhui Zhang, Xiaoyang Wu and Guang Pan
J. Mar. Sci. Eng. 2026, 14(5), 406; https://doi.org/10.3390/jmse14050406 - 24 Feb 2026
Viewed by 276
Abstract
Inspired by observations of manta ray gliding, this study designed and evaluated a more biologically accurate pectoral fin bending model. We assessed its hydrodynamic performance using six-degrees-of-freedom (6-DoF) Computational Fluid Dynamics (CFD) simulations, which were validated by tethered water tunnel experiments. Key findings [...] Read more.
Inspired by observations of manta ray gliding, this study designed and evaluated a more biologically accurate pectoral fin bending model. We assessed its hydrodynamic performance using six-degrees-of-freedom (6-DoF) Computational Fluid Dynamics (CFD) simulations, which were validated by tethered water tunnel experiments. Key findings reveal that symmetric bending significantly impacts longitudinal stability, increasing the pitch angle to nearly twice that of the flat-wing model (80° model) but compromising gliding efficiency. During this symmetric motion, the lift-to-drag ratio (K) minimum point is significantly delayed as the bending angle increases, following a negative quadratic trend. Conversely, asymmetric bending triggers a sharp 3.5-fold increase in the roll angle (80° vs. 30° model) and produces significant lateral displacement. Importantly, “roll-induced yaw” was confirmed as the dominant mechanism for lateral control, contributing up to 88.5% of the lateral force in the 80° model, despite minimal changes in the yaw angle. These findings reveal the intrinsic trade-offs between fin deformation, gliding efficiency, and attitude control, providing a theoretical basis for active configuration optimization and control strategies for bionic gliders. Full article
(This article belongs to the Special Issue Overall Design of Underwater Vehicles)
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30 pages, 22734 KB  
Article
Design of an AUV Visual Docking Localization Simulation Platform Based on Webots
by Runfa Xing, Lichuan Zhang, Guangyao Han and Lu Liu
J. Mar. Sci. Eng. 2026, 14(4), 374; https://doi.org/10.3390/jmse14040374 - 15 Feb 2026
Viewed by 380
Abstract
To meet the design and evaluation requirements of underwater vision-based docking localization, a Webots-based simulation platform for Autonomous Underwater Vehicle (AUV) visual docking localization was designed and implemented to address the high cost of real sea trials, uncontrollable operating conditions, and the difficulty [...] Read more.
To meet the design and evaluation requirements of underwater vision-based docking localization, a Webots-based simulation platform for Autonomous Underwater Vehicle (AUV) visual docking localization was designed and implemented to address the high cost of real sea trials, uncontrollable operating conditions, and the difficulty of systematically covering extreme scenarios. An end-to-end simulation of the docking localization pipeline was provided. Visual components—including fiducial markers, underwater illumination and imaging, and occlusion—were modeled in relatively fine detail, while non-vision-dominant factors such as propulsion and hydrodynamics were treated with approximate models to balance visual realism and simulation efficiency. The platform supported multiple types of visual markers, parameterized configuration of underwater lighting and turbidity, and the generation of diverse occlusion scenarios, enabling unified integration and benchmarking of docking localization algorithms. The results showed that the platform offered tunable scene parameters, repeatable conditions, and broad algorithm compatibility, and it effectively revealed performance differences across algorithms for complex combinations of illumination, turbidity, and occlusion. These capabilities reduced the risk and cost of real underwater docking experiments and supported faster iterative improvement of vision-based localization methods. Full article
(This article belongs to the Special Issue Overall Design of Underwater Vehicles)
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