Flume tank evaluation of the hydrodynamic lift and drag of helix ropes compared to conventional ropes used in midwater trawls

Kebede, Gebremeskel Eshetu; Winger, Paul D.; DeLouche, Harold; Legge, George; Cheng, Zhaohai; Kelly, David; Einarsson, Haraldur Arnar

doi:10.1016/j.oceaneng.2019.106674

Cited by 8 publications

(11 citation statements)

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“…The Morison model takes a single twine as the object, while the Screen model takes a net panel as the object. A systematic comparison between the two types of hydrodynamic force models was shown in Cheng et al (2020), where the authors suggested employing the Screen model for the dynamic analysis of aquaculture structures to amend common defects of Morison models.…”

Section: Challenges In Structural Designmentioning

confidence: 99%

“…The deformed nets can, in turn, affect the flow field. The affected flow field can significantly affect the structural responses of the nets and the global movement of aquaculture structures (Bi et al, 2013;Cheng et al, 2020;Zhao et al, 2013), especially when the structures (partly) are located in the wake field of an upstream net.…”

Section: Challenges In Structural Designmentioning

confidence: 99%

“…In the context of aquacultural engineering, the wake is the region downstream from the permeable nets, where the flow velocity is reduced and the flow is often turbulent (Cheng et al, 2020;Sim et al, 2021;Zhao et al, 2013a;Zhao et al, 2013b). The effect of wake is an essential and complex mechanism in the dynamic analyses of permeable structures, such as the nets in fish cage and fishing gear.…”

Section: Flow Velocity Reductionmentioning

confidence: 99%

“…et al, 2016). (b) shows a numerical simulation result using a line-like finite element (reproduced from Cheng et al, 2020). (c) shows the connection of elements, where the hydrodynamic load on the red bar can be calculated using the Morison type hydrodynamic force model as shown in Section 2.2.…”

Section: Truss Finite Element Model 1 (1d)mentioning

confidence: 99%

“…In a real fish farm, nets at different positions usually experience different flow velocities due to wake effects. In the context of marine aquaculture structures, the wake is the region downstream from the permeable nets, where the velocity is reduced, and the flow is often turbulent (Cheng et al, 2020;Sim et al, 2021;Zhao et al, 2013a;Zhao et al, 2013b). For a typical cylindrical fish cage, approximately half of the nets, located at the rear side of the cage, experience the wake flow generated by the front part of the cage.…”

Section: Introduction To the Fluid-structure Interaction Problem In M...mentioning

confidence: 99%

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Development of Advanced Numerical Tools for Dynamic Analysis of Aquaculture Structures

Cheng¹

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Numerical methods to accurately predict dynamic responses of marine aquaculture structures are essential in the engineering design process, because these structures can be subjected to large wave and current loads in the ocean environment, which causes complex structural motion and deformation. However, only a few numerical programs for the dynamic analysis of aquaculture structures can be accessed by the public without permission. In order to meet the high demand for a ready-for-use program, a numerical module for an open-source Finite Element Analysis (FEA) program, Code_Aster, is developed in this PhD study. This numerical module includes various wave models (e.g., Airy waves, Stokes 2nd order waves and irregular waves) and hydrodynamic force models (e.g., Morison model, Screen model and flow velocity reduction due to wake effects). Moreover, a coupling algorithm to handle the wake effects of thin, flexible and highly permeable structures with complex geometries is also implemented to solve the complex fluid-structure interaction (FSI) problem in marine aquaculture engineering. The accuracy of structural response prediction can be improved using the coupling algorithm with the open-source Computational Fluid Dynamics (CFD) solver, OpenFOAM, which can solve the complex flow field around the structures. Detailed verifications and validations are firstly conducted with considerations of different net solidities, inflow angles, incoming current velocities and net dimensions. Subsequently, the newly developed numerical module is applied to study dynamic responses of traditional fish cages, grid moored fish farms and a large semi-submersible aquaculture structure for practical engineering design and optimization purposes. The structural responses of traditional fish cages with different design parameters (including circumferences of floating collar, depths of net bag, submerged weights) are comprehensively analyzed under pure current conditions. Based on the parametric analysis with a large number of numerical simulations, regression functions for the most concerning aspects are provided for engineering usages in the design process. These regression functions can save considerable time for experiments and numerical simulations in the design of traditional fish cages. The structural responses of grid moored fish farms are analyzed with respect to combinations of mooring line breakages and current directions. Based on the numerical results, suggestions to improve the design of the mooring system are given. It is also recommended to monitor the positions of buoys during in-situ operations. When one of the mooring line breaks, the maximum tension increment in the mooring system can be estimated based on the displacement of the buoys. This estimation can help the farmer to decide whether the damaged mooring line should be repaired immediately. The global responses of a semi-submersible offshore aquaculture structure are investigated under irregular waves and current conditions which correspond to a return period of 50 years. The numerical model shows a reasonable agreement with published experimental results and demonstrates that the newly developed numerical module can be applied to the dynamic analysis of offshore aquaculture structures.

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Section: Challenges In Structural Designmentioning

confidence: 99%

Section: Challenges In Structural Designmentioning

confidence: 99%