Development of a novel multi-component coupled numerical model for aquaculture systems in OpenFOAM

被引:0
|
作者
Mi, Shuo [1 ]
Avital, Eldad Jitzchak [1 ]
Williams, John J. R. [1 ]
Chatjigeorgiou, Ioannis K. [2 ]
机构
[1] Queen Mary Univ London, Sch Engn & Mat Sci, London, England
[2] Natl Tech Univ Athens, Sch Naval Architecture & Marine Engn, Athens, Greece
基金
英国工程与自然科学研究理事会;
关键词
Aquaculture; Flexible nets; Mooring dynamics; Immersed boundary method; Fluid-structure interaction; IMMERSED BOUNDARY METHOD; FISH CAGE; NET CAGE; FINITE-ELEMENT; MOORING SYSTEM; FLOW VELOCITY; CURRENT LOADS; DYNAMICS; SIMULATION; FORCES;
D O I
10.1016/j.apor.2024.104146
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The motion and deformation of an aquaculture system under wave and current conditions is a complex fluid-structure interactions problem. Existing models often lack the capability to accurately simulate these interactions across all components of an aquaculture system. To address this limitation, we have developed a novel multi-component numerical model that coupled high-fidelity flow simulations in OpenFOAM freeware, and structural dynamics in MoorDyn, and EndoBeams modules. Our integrated model employs an incompressible fluid solver with a Volume of Fluid (VOF) method to capture multiphase fluid dynamics, while a screen model and mass spring method account for the flexible nets deformation. MoorDyn is used for simulating mooring line dynamics, and EndoBeams solves structural deformation of components such as collars and frames. The Immersed Boundary Method (IBM) is used to capture the interaction between the fluid and the structural components. By updating the deformation and motion states and exchanging positions and forces in each time step, the model ensures effective coupling between different components. Extensive validation against published experimental data confirms that our model is a robust tool for simulating the interactions of aquaculture systems with fluid and between all components, providing valuable insights for their design and optimization.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Development of a multi-physics numerical model for a multi-component thermoelectric generator with discontinuous porosity in the exhaust gas channel
    Lee, Jung Hwan
    Kim, Tae Young
    APPLIED THERMAL ENGINEERING, 2025, 260
  • [22] Numerical modelling of multi-component mass transfer regimes in four-component gas systems
    Fedorenko, O. V.
    Kossov, V. N.
    Krasikov, S. A.
    Zhaneli, M.
    Seydaz, T.
    BULLETIN OF THE UNIVERSITY OF KARAGANDA-PHYSICS, 2023, 4 (112): : 38 - 49
  • [23] A PHASE-FIELD MODEL FOR MULTI-COMPONENT AND MULTI-PHASE SYSTEMS
    Moelans, N.
    ARCHIVES OF METALLURGY AND MATERIALS, 2008, 53 (04) : 1149 - 1156
  • [24] Invariants of Multi-Component Ermakov Systems
    屈长征
    闫璐
    Communications in Theoretical Physics, 2010, 54 (09) : 393 - 396
  • [25] Creep in multi-component materials systems
    Dutta, I
    JOM-JOURNAL OF THE MINERALS METALS & MATERIALS SOCIETY, 2003, 55 (01): : 14 - 14
  • [26] The evolution of senescence in multi-component systems
    Laird, Robert A.
    Sherratt, Thomas N.
    BIOSYSTEMS, 2010, 99 (02) : 130 - 139
  • [27] LIGHT SCATTERING IN MULTI-COMPONENT SYSTEMS
    STOCKMAYER, WH
    JOURNAL OF CHEMICAL PHYSICS, 1950, 18 (01): : 58 - 61
  • [28] Numerical simulation on multi-component foam drive
    School of Civil and Environment Engineering, Beijing University of Science and Technology, Beijing 100083, China
    不详
    Shiyou Xuebao, 2006, 3 (65-69):
  • [29] Dissipative hydrodynamics for multi-component systems
    El, Andrej
    Bouras, Ioannis
    Wesp, Christian
    Xu, Zhe
    Greiner, Carsten
    EUROPEAN PHYSICAL JOURNAL A, 2012, 48 (11):
  • [30] MULTI-COMPONENT SYSTEMS AND STRUCTURES AND THEIR RELIABILITY
    BIRNBAUM, ZW
    ESARY, JD
    SAUNDERS, SC
    TECHNOMETRICS, 1961, 3 (01) : 55 - &