Computational Fluid Dynamics Simulation of Floating Offshore Structures—2nd Edition

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: 10 October 2024 | Viewed by 2411

Special Issue Editors

Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China
Interests: vortex induced vibrations; fluid-structure interactions; linear and non-linear wave mechanics; cavitation; multiphase flow; heat and mass transfer; computational fluid dynamics
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Guest Editor
School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing, China
Interests: marine and offshore renewable energy; technology for energy efficiency and green shipping; novel energy conversion system for harvesting renewable salinity energy; artificial intelligence-enhanced air management and energy consumption research of green data center; research and development of air conditioning system for buildings and its energy consumption analysis
Special Issues, Collections and Topics in MDPI journals
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China
Interests: complicated flow and cavitation in hydraulic machinery; multiphase transportation mechanism in pumps for the oil and gas exploitation; high-pressure pump used in seawater desalination and energy recovery; performance and cavitation of automobile (electronic) water pump and its cooling system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computational fluid dynamics (CFD) uses numerical analysis and data structures to analyze and solve problems involving fluid flows. CFD is gaining popularity in ocean engineering as a result of the availability of ever-increasing computational power. This Special Issue covers the entire range of issues and technologies related to floating offshore structures (floating and fixed offshore platforms, offshore infrastructures, etc.), with a strong emphasis on CFD simulation technology.

We seek contributions spanning a broad range of topics related (but not limited) to the following:

  • Hydrodynamics;
  • Computational fluid dynamics;
  • Vortex-induced vibrations;
  • Fluid–structure interactions;
  • Linear and nonlinear wave mechanics;
  • Buoyancy and stability;
  • Ship resistance and propulsion;
  • Ship maneuvering and radiated noise.
  • Water and environment.

Dr. Bin Xu
Dr. Yanmei Jiao
Dr. Xi Shen
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

  • CFD simulation
  • floating offshore structures
  • ocean engineering
  • hydrodynamics and propulsion

Related Special Issue

Published Papers (3 papers)

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Research

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14 pages, 6505 KiB  
Article
Effect of Tip Clearance on Force Characteristics of Helical Axial-Flow Blade Pumps under Cavitation Conditions
by Haigang Wen, Luyao Li, Guangtai Shi, Haijun Ma and Xiaodong Peng
J. Mar. Sci. Eng. 2023, 11(12), 2299; https://doi.org/10.3390/jmse11122299 - 4 Dec 2023
Viewed by 742
Abstract
A spiral axial-flow blade pump (SABP), as the core piece of equipment in the oil and natural gas closed-gathering and transportation process, can not only transport gas–liquid mixtures with a high gas content, but can also transport gas–liquid–solid mixtures containing small amounts of [...] Read more.
A spiral axial-flow blade pump (SABP), as the core piece of equipment in the oil and natural gas closed-gathering and transportation process, can not only transport gas–liquid mixtures with a high gas content, but can also transport gas–liquid–solid mixtures containing small amounts of sand. However, due to the complexity of the distribution of transport media groups and the uncertainty of internal flow processes, large vortices often appear in the passage of the pumps, and the existence of vortices can easily induce the occurrence of pump cavitations. In the present work, a self-developed SABP was taken as the research object, and the cavitation performance of the SABP was numerically calculated. The pressure load variation under different tip clearances and different cavitation stages was analyzed, and the characteristics of the axial and radial forces were also analyzed in detail. Full article
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24 pages, 6805 KiB  
Article
Research on the Hydrodynamic Noise Characteristics of a Mixed-Flow Pump
by Qiaoyue Yang, Wei Li, Leilei Ji, Weidong Shi, Wei Pu, Yu Long and Xinrui He
J. Mar. Sci. Eng. 2023, 11(12), 2209; https://doi.org/10.3390/jmse11122209 - 21 Nov 2023
Cited by 1 | Viewed by 887
Abstract
This study presents a comprehensive investigation of the internal noise characteristics of a mixed-flow pump by combining computational fluid dynamics (CFD) and computational acoustics. The turbulent flow field of the pump is simulated using the unsteady SST k-ω turbulence model in CFD. The [...] Read more.
This study presents a comprehensive investigation of the internal noise characteristics of a mixed-flow pump by combining computational fluid dynamics (CFD) and computational acoustics. The turbulent flow field of the pump is simulated using the unsteady SST k-ω turbulence model in CFD. The contributions of the volute, guide vanes, and impeller to the internal noise are analyzed and compared using the Lighthill theory, FW-H formula, and LMS Virtual Lab software for acoustic simulation. The research findings indicate that the energy of pressure fluctuations in the mixed-flow pump is predominantly concentrated at the blade passing frequency and its low-frequency harmonics. This suggests that the internal noise is mainly in the low-frequency range, with higher energy at the blade passing frequency and its harmonics. Under the 0.6Qdes flow condition, the flow inside the pump becomes more complex, resulting in higher sound pressure levels and sound power levels compared to higher flow conditions. However, for flow conditions ranging from 0.8Qdes to 1.2Qdes, the sound pressure levels gradually increase with increasing flow rate, with the sound pressure level at 1.0Qdes being nearly identical to that at 1.2Qdes. The analysis of sound power level spectra at different flow rates reveals that the distribution characteristics of internal vortex structures directly impact the hydrodynamic noise inside the mixed-flow pump. These research findings provide a significant theoretical basis for noise control in mixed-flow pumps. Full article
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Review

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21 pages, 345 KiB  
Review
Data-Driven Modal Decomposition Methods as Feature Detection Techniques for Flow Fields in Hydraulic Machinery: A Mini Review
by Bin Xu, Liwen Zhang, Weibin Zhang, Yilin Deng and Teck Neng Wong
J. Mar. Sci. Eng. 2024, 12(5), 813; https://doi.org/10.3390/jmse12050813 - 13 May 2024
Cited by 1 | Viewed by 372
Abstract
Cavitation is a quasi-periodic process, and its non-stationarity leads to increasingly complex flow field structures. On the other hand, characterizing the flow field with greater precision has become increasingly feasible. However, accurately and effectively extracting the most representative vibration modes and spatial structures [...] Read more.
Cavitation is a quasi-periodic process, and its non-stationarity leads to increasingly complex flow field structures. On the other hand, characterizing the flow field with greater precision has become increasingly feasible. However, accurately and effectively extracting the most representative vibration modes and spatial structures from these vast amounts of data has become a significant challenge. Researchers have proposed data-driven modal decomposition techniques to extract flow field information, which have been widely applied in various fields such as signal processing and fluid dynamics. This paper addresses the application of modal decomposition methods, such as dynamic mode decomposition (DMD), Proper Orthogonal Decomposition (POD), and Spectral Proper Orthogonal Decomposition (SPOD), in cavitation feature detection in hydraulic machinery. It reviews the mathematical principles of these three algorithms and a series of improvements made by researchers since their inception. It also provides examples of the applications of these three algorithms in different hydraulic machinery. Based on this, the future development trends and possible directions for the improvement of modal decomposition methods are discussed. Full article
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