activity
20132026
most citedNektar++: enhancing the capability and application of high-fidelity spectral/ element methods

145 citations · 247 across the 18 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

physics.flu-dyn2019★ 1 cited

Spectral/hp element simulation of flow past a Formula One front wing: validation against experiments

Filipe F. Buscariolo, Julien Hoessler, David Moxey +6

Emerging commercial and academic tools are regularly being applied to the design of road and race cars, but there currently are no well-established benchmark cases to study the aer…

physics.comp-ph2019★ 8 cited

-adaptation for compressible flows

Julian Marcon, Giacomo Castiglioni, David Moxey +2

We present an -adaptation strategy for high-fidelity simulation of compressible inviscid flows with shocks. The mesh resolution in regions of flow discontinuities is increased…

cs.MS2019★ 145 cited

Nektar++: enhancing the capability and application of high-fidelity spectral/ element methods

David Moxey, Chris D. Cantwell, Yan Bao +14

Nektar++ is an open-source framework that provides a flexible, high-performance and scalable platform for the development of solvers for partial differential equations using the hi…

cs.CG2019★ 2 cited

A semi-structured approach to curvilinear mesh generation around streamlined bodies

Julian Marcon, Joaquim Peiró, David Moxey +3

We present an approach for robust high-order mesh generation specially tailored to streamlined bodies. The method is based on a semi-sructured approach which combines the high qual…

cs.GR2019★ 3 cited

High-order curvilinear hybrid mesh generation for CFD simulations

Julian Marcon, Michael Turner, Joaquim Peiró +4

We describe a semi-structured method for the generation of high-order hybrid meshes suited for the simulation of high Reynolds number flows. This is achieved through the use of hig…

cs.CG2019★ 4 cited

A variational approach to high-order r-adaptation

Julian Marcon, Michael Turner, David Moxey +2

A variational framework, initially developed for high-order mesh optimisation, is being extended for r-adaptation. The method is based on the minimisation of a functional of the me…