Computational Fluid Dynamic of Floating Offshore Structures

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 July 2024 | Viewed by 857

Special Issue Editors


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Guest Editor
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M1 5GD, UK
Interests: computational aerodynamics and hydrodynamics; numerical wave tanks; Cartesian cut cell and overset grid; wave structure interaction; offshore renewable energy
Special Issues, Collections and Topics in MDPI journals
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Interests: structural design; coupled modeling and advanced control offshore wind turbines
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Guest Editor
Technology Centre for Offshore and Marine, Singapore (TCOMS), Singapore 118411, Singapore
Interests: extreme waves; fluid–structure interactions; digital twins; cyber-physical systems
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Special Issue Information

Dear Colleagues,

This Special Issue aims to explore the applications of Computational Fluid Dynamics (CFD) in the analysis and design of floating offshore structures. Floating offshore structures are becoming increasingly important in the offshore industry due to their potential for cost-effective and environmentally friendly energy production. By accurately representing the fluid–structure interaction, CFD enables the optimization of system performance, which includes structural design, mooring systems, and dynamic positioning control strategies.

This Special Issue invites researchers and practitioners to contribute original research articles, review papers, and case studies that showcase the latest advancements in CFD applied to floating offshore structures. Topics of interest include, but are not limited to:

  • Numerical methods and algorithms for simulating fluid–structure interactions in the context of floating offshore structures.
  • Validation and verification of CFD models against experimental data or field measurements.
  • Optimization of floating offshore structures for improved performance, safety, and reliability.
  • Effects of environmental conditions (waves, currents, winds) on the behaviour and performance of floating offshore structures.
  • CFD-based design guidelines and best practices for floating offshore structures.
  • Multi-physics and multi-scale modelling of floating offshore structures.
  • Uncertainty quantification and risk analysis in CFD simulations of floating offshore structures.
  • Application of machine learning and artificial intelligence techniques in CFD modelling of floating offshore structures.

Prof. Dr. Ling Qian
Dr. Yang Yang
Dr. Harrif Santo
Guest Editors

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

  • computational fluid dynamics
  • floating offshore structures
  • fluid–structure interaction
  • optimization, environmental conditions
  • design guidelines
  • multi-physics modelling
  • uncertainty quantification
  • machine learning
  • artificial intelligence

Published Papers (1 paper)

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Research

19 pages, 10180 KiB  
Article
Numerical Computation of Restoring Time and Prediction of Self-Righting Process
by Jinbang Liu and Guoxiang Hou
J. Mar. Sci. Eng. 2024, 12(4), 529; https://doi.org/10.3390/jmse12040529 - 22 Mar 2024
Viewed by 578
Abstract
Excellent self-righting performance is important to guarantee the normal navigation of Unmanned Surface Vehicles (USVs) after overturning, and the restoring time is an important index in design requirements. Traditionally, the static stability method and experiments on full-scale vehicles were used to analyze the [...] Read more.
Excellent self-righting performance is important to guarantee the normal navigation of Unmanned Surface Vehicles (USVs) after overturning, and the restoring time is an important index in design requirements. Traditionally, the static stability method and experiments on full-scale vehicles were used to analyze the large-angle stability of the USV. However, when it comes to the analysis of self-righting performance, the traditional static stability method will cause improper integration, and experiments are not convenient. To solve these problems, an improved static stability method was proposed, and a whole self-righting process simulation of a physical model was finished. The numerical simulation method was used to predict the self-righting process of a USV under four working conditions. Firstly, a midpoint average method based on the static stability theory was adopted to compute the static restoring time, and the results were compared with the results of the references, which verifies the effectiveness of the midpoint average method. Also, the midpoint average method is convenient because it only needs the restoring arm curve, the width and the gravity center height. Then, a numerical simulation of a physical model in static water was finished, and an experiment for a physical model in a towing tank was conducted. Comparing the restoring time of the midpoint average method, the numerical simulation and the experiment, the results show that the numerical simulation has high accuracy. Moreover, the numerical simulation was used to predict the self-righting process and analyze the self-righting performance of a USV under four working conditions. Full article
(This article belongs to the Special Issue Computational Fluid Dynamic of Floating Offshore Structures)
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