Coupled discrete element and finite volume methods for simulating loaded elastic fishnets in interaction with fluid

Sassi, Paolo; Freiría, Jorge; Paz, Paula La; Mendina, Mariana; Draper, Martín; Usera, Gabriel

doi:10.1016/j.compfluid.2017.07.007

Cited by 4 publications

(6 citation statements)

References 23 publications

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“…For the modeling of the VWT, bending moment transmission was incorporated to the already developed DEM applied to fishing nets in a previous work Sassi et al (2017) , whereas the elements of the fishnet are loose ropes, so there is no bending moment transmission in between the elements. Another important variation applied to the method was the approach used for integrating the equations of motion.…”

Section: Discussionmentioning

confidence: 99%

“…In the case of the fishnet, a fourth order Runge-Kutta was implemented for solving the ordinary differential equations system, while for the VWT a centered finite difference, as the one proposed by Ivanov (2001) , was used for the integration. It would be interesting, in order to improve the computational efficiency of the simulation, to incorporate a higher order method, such as the one used in Sassi et al (2017) , or even to consider the incorporation of an adaptive time step, a potential future development that was beyond the scope of this research.…”

Section: Discussionmentioning

confidence: 99%

“…The overall shape and stress of the system is then estimated by calculating the displacements of these point masses (particles). This type of approach was used in a previous work Sassi et al (2017) .…”

Section: Literature Reviewmentioning

confidence: 99%

“…The coupling between the DEM and the FVM has been validated in Sassi et al (2017) for the simulation of fishnets tunnels under fishing load. The representation of the fishnet with the discrete element method is very similar to that used in the elastic rod of the VWT, where the bars represent the ropes and the nodes represent the knots of the fishnet, with the exception that the ropes does not consider bending moment transmission.…”

Section: Modelingmentioning

confidence: 99%

“…Simulations of fluid flows are widely addressed with the finite volume method (FVM), Ferziger and Peric (2002). The discrete element method (DEM) is well suited to represent both loosely elastic structures and flexible bodies (Sassi et al (2017)). Finally, the adoption of methods like the immersed boundary method (IBM) bring geometrical flexibility, facilitating the study of complex geometries.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of vorticity wind turbines

Sassi¹,

Freiría²,

Mendina³

et al. 2020

Heliyon

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There are a wide variety of devices behaving essentially as flexible and elastic systems while interacting dynamically with fluids, usually water or air, under normal operating conditions. Interactions of this kind involve a double complexity of the dynamics, as the systems go through large deformation due to the flow actions, and simultaneously, the flow dynamics is strongly influenced by the shape adopted by the systems. The present research adapts mathematical methods, still new to the field, to represent ways of dealing with flows of fluid in bidirectional interactions with those new technologies, and particularly applies them to the exploration of vorticity wind turbines (VWT), a new kind of vertical blade-less turbine that gathers energy from the vortex induced vibrations (VIV) of a relatively short and scalable mast. This research presents a framework for such modeling by coupling the discrete element method (DEM) with the Immersed Boundary Method (IBM), for the representation of VWT; and with the finite volume method (FVM), for solving the Navier-Stokes equations. Simulations show that the VWT achieves the lock-in effect for wind velocities between 9 and 15 m/s, with efficiency values between 20 and 30%. The preliminary results together with logistic and cost-related reasons, make these devices very promising, especially when considering the difficulties of implementing new approaches in developing countries.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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