Imperial College London

ProfessorSpencerSherwin

Faculty of EngineeringDepartment of Aeronautics

Professor of Computational Fluid Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 5052s.sherwin Website

 
 
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Location

 

313BCity and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Cohen:2019,
author = {Cohen, J and Marcon, J and Turner, M and Cantwell, C and Sherwin, SJ and Peiro, J and Moxey, D},
publisher = {CEUR Workshop Proceedings},
title = {Simplifying high-order mesh generation for computational scientists},
url = {http://ceur-ws.org/Vol-2357/paper12.pdf},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Computational modelling is now tightly integrated into many fields of research in science and industry. Computational fluid dynamics software, for example, gives engineers the ability to model fluid flow around complex geometries defined in Computer-Aided Design (CAD) packages, without the expense of constructing large wind tunnel experiments. However, such modelling requires translation from an initial CAD geometry to a mesh of many small elements that modelling software uses to represent the approximate solution in the numerical method. Generating sufficiently high-quality meshes for simulation is a time-consuming, iterative and error-prone process that is often complicated by the need to interact with multiple command-line tools to generate and visualise the mesh data. In this paper we describe our approach to overcoming this complexity through the addition of a meshing console to Nekkloud, a science gateway for simplifying access to the functionality of the Nektar++ spectral/hp element framework. The meshing console makes use of the NekMesh tool in Nektar++ to help reduce the complexity of the mesh generation process. It offers a web-based interface for specifying parameters, undertaking meshing and visualising results. The meshing console enables Nekkloud to offer support for a full, end-to-end simulation pipeline from initial CAD geometry to simulation results.
AU - Cohen,J
AU - Marcon,J
AU - Turner,M
AU - Cantwell,C
AU - Sherwin,SJ
AU - Peiro,J
AU - Moxey,D
PB - CEUR Workshop Proceedings
PY - 2019///
SN - 1613-0073
TI - Simplifying high-order mesh generation for computational scientists
UR - http://ceur-ws.org/Vol-2357/paper12.pdf
UR - http://hdl.handle.net/10044/1/66084
ER -