Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016) 2016
DOI: 10.7712/100016.1830.7712
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Meshing Ocean Domains for Coastal Engineering Applications

Abstract: Abstract. As we continue to exploit and alter the coastal environment, the quantification of the potential impacts from planned coastal engineering projects, as well as the minimisation of any detrimental effects through design optimisation, are receiving increasing attention. Geophysical fluid dynamics simulations can provide valuable insight towards the mitigation and prevention of negative outcomes, and as such are routinely used for planning, operational and regulatory reasons. The ability to readily creat… Show more

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Cited by 13 publications
(10 citation statements)
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References 17 publications
(21 reference statements)
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“…The mesh generation approach described by Avdis et al [37,38] was followed to produce the multi-scale unstructured triangular meshes to discretise the study domain. Two meshes with the same resolution characteristics have been generated in order to consider the tidal hydrodynamics with and without the tidal lagoons present.…”
Section: Tidal Energy Case Studies and Hydrodynamic Simulationsmentioning
confidence: 99%
“…The mesh generation approach described by Avdis et al [37,38] was followed to produce the multi-scale unstructured triangular meshes to discretise the study domain. Two meshes with the same resolution characteristics have been generated in order to consider the tidal hydrodynamics with and without the tidal lagoons present.…”
Section: Tidal Energy Case Studies and Hydrodynamic Simulationsmentioning
confidence: 99%
“…The mesh for the model was set up using “qmesh”, a Python package for constructing flexible unstructured meshes for geophysical models (Avdis et al., 2016; Avdis et al., 2018). The use of unstructured meshes offers significant advantages in representing small spatial features across large geographical extents due to their flexibility of resolution and geometry.…”
Section: Tidal Modellingmentioning
confidence: 99%
“…The mesh for the model was set up using 'qmesh', a Python package for constructing flexible unstructured meshes for geophysical models (Avdis et al, 2016(Avdis et al, , 2018 which utilises the 'Gmsh' mesh generator (Geuzaine and Remacle, 2009). The use of unstructured meshes offers significant advantages in representing small spatial features across large geographical extents due to their flexibility over resolution and geometry (Piggott et al, 2008).…”
Section: Unstructured Mesh Generationmentioning
confidence: 99%