Special Issue "Recent Advances in Particle/Grid-Based Methods and Applications in Marine and Ocean Engineering II"

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: 25 August 2023 | Viewed by 1225

Special Issue Editors

School of Naval Architecture and Ocean Engineering, Dalian University of Technology, Dalian, China
Interests: computational fluid dynamics; meshless method; fluid–structure interaction; hydroelasticity; slamming; structure–ice–water interaction
Special Issues, Collections and Topics in MDPI journals
Faculty of Engineering and Physical Sciences, Southampton University, Boldrewood Innovation Centre, Southampton SO16 7QF, UK
Interests: marine and wind energy; CFD; hydrodynamics; free-surface flows; coastal structures; meshfree particle methods; machine learning algorithms, fluid–structure interaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The continuous search for more effective and efficient numerical methods for use in various complicated flows has been one of the most active research areas in marine and ocean engineering. The aim of this Special Issue is to provide a platform for the presentation and discussion of the most recent developments in the particle-/grid-based methods and their applications for ship and offshore structures in various conditions. Our aim is to publish novel ideas and methods in an open access format to accelerate the spread of novel ideas among researchers in the community.

Following the success of the first edition of this Special Issue, the purpose of this second edition is to further encourage high-quality papers on both novel algorithms (including machine learning algorithms) and practical applications. In order to provide comprehensive insights into the development of this research area, this Special Issue invited both review and original research papers.

Numerical methods:

  • Smoothed Particle Hydrodynamics method
  • Moving Particle Semi-implicit method
  • Discrete Vortex Method
  • Discrete Element Method
  • Particle in Cell
  • Lattice Boltzmann method
  • Boundary Element Method
  • Finite difference, finite volume, and finite element methods
  • Hybrid particle-grid methods
  • Machine Learning (ML) algorithms/methods


  • Sloshing
  • Slamming
  • Green water
  • Hydroelasticity
  • Ship-ice-water interaction
  • Deep sea mining
  • Wave Energy Converter
  • Energy Harvesting Device
  • Fixed and floating offshore structures
  • Fluid dynamics

Dr. Zhe Sun
Dr. Kamal Djidjeli
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 2200 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.


  • particle/meshfree methods
  • discrete vortex/element method
  • hybrid particle-grid methods
  • lattice Boltzmann method
  • boundary element method, finite difference, finite volume, finite element methods
  • machine learning (ML) methods
  • sloshing
  • slamming and green water
  • hydroelasticity
  • ship–ice–water interaction
  • wave energy converter & energy harvesting devices
  • fixed and floating offshore structures

Published Papers (1 paper)

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Grid-Stamping on a Polygon Model for Implementing Arbitrary-Shaped Boundary Conditions in a Moving Particle Semi-Implicit Method
J. Mar. Sci. Eng. 2023, 11(4), 742; https://doi.org/10.3390/jmse11040742 - 29 Mar 2023
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This study proposes a new wall boundary condition for the grid-stamping on a polygon (G-StoP) model, which enables a simpler and more efficient handling of boundary surfaces of arbitrarily complex-shaped bodies represented using polygons (or meshes). For example, computer-aided design surface data can [...] Read more.
This study proposes a new wall boundary condition for the grid-stamping on a polygon (G-StoP) model, which enables a simpler and more efficient handling of boundary surfaces of arbitrarily complex-shaped bodies represented using polygons (or meshes). For example, computer-aided design surface data can be used to analyze flow using a particle-based fluid-solver moving particle semi-implicit method. For coupling simulations of fluid–multibody dynamics, the Pusan-National-University-modified MPS method is improved, and the coupling analysis is performed using RecurDyn, a commercial software package for multibody (or flexible multibody) dynamics. To confirm the applicability of the developed G-StoP model, hydrostatic pressure simulations are conducted in a rectangular tank at various corner angles. Then, the hydrostatic pressure results are compared with previously proposed polygonal wall boundary model results and theoretical solutions. That is, in the case with a corner angle of 30°, it was confirmed that the relative error to the experiment of the polygon model was 11.3%, while that of the G-StoP model was 1.3%. This demonstrates that the proposed G-StoP model is exceptional for numerical stability and robustness even when it is difficult to secure information on neighboring particles as the corner angle of the object becomes small. In addition, the G-StoP model was applied to dam breaking, subaerial landslide tsunami, and wine sloshing problems, and its accuracy and applicability were tested through comparison with experimental and other simulation results. As a result, it was shown that the present simulation results were much closer to the experiments than other simulations. Full article
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