2020
DOI: 10.1016/j.oceaneng.2020.107166
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Development of a model for flexural rigidity of fishing net with a spring mass approach and its inverse identification by metaheuristic parametric optimization

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Cited by 4 publications
(9 citation statements)
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“…In a spring mass approach, each mesh twine is split into several rigid bars to model its bending stiffness (Vincent et al, 2020). Spring forces are located at the resulting nodes connecting two adjacent bars.…”
Section: Modelling Escape Mechanics: the Collision Between The Mesh T...mentioning
confidence: 99%
See 2 more Smart Citations
“…In a spring mass approach, each mesh twine is split into several rigid bars to model its bending stiffness (Vincent et al, 2020). Spring forces are located at the resulting nodes connecting two adjacent bars.…”
Section: Modelling Escape Mechanics: the Collision Between The Mesh T...mentioning
confidence: 99%
“…Equation ( 4) and equation deriving from inequality (5) were introduced in the netting dynamics solver, detailed by Vincent et al (2020) to solve the mechanical balance between the mesh and the fish and to establish a relation between fish propulsion force and the success of escape through a mesh.…”
Section: Modelling Escape Mechanics: the Collision Between The Mesh T...mentioning
confidence: 99%
See 1 more Smart Citation
“…But most experiments could rely on complex instrumentation and dedicated models or software. Vincent et al proposed a new methodology to determine mechanical and dimensional characteristics of common netting materials, including flexural rigidity, rest angle, knot length, and enables 56,57,88,90,94 the simulation of large deformation of nettings constructions, even 3D flexural rigidity (Figure 5(e)). The method had been applied to previous experimental results to prove its reliability and practicability.…”
Section: Numerical Simulationmentioning
confidence: 99%
“…(g) Net deflection comparison with two different size holes, the FEM and actual net panel. 56,57,88,90,94 …”
Section: Performances Of Mesh-fabricsmentioning
confidence: 99%