Imperial College London
Alternate

DrDavidMoxey

Faculty of Engineering, Department of Aeronautics

Honorary Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5129d.moxey Website

 
 
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Location

 

363Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Turner:2016:10.1016/j.proeng.2016.11.069,
author = {Turner, M and Peiro, J and Moxey, D},
doi = {10.1016/j.proeng.2016.11.069},
journal = {Procedia Engineering},
pages = {340--352},
title = {A variational framework for high-order mesh generation},
url = {http://dx.doi.org/10.1016/j.proeng.2016.11.069},
volume = {163},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The generation of sufficiently high quality unstructured high-order meshes remains a significant obstacle in the adoption of high-order methods. However, there is little consensus on which approach is the most robust, fastest and produces the ‘best’ meshes. We aim to provide a route to investigate this question, by examining popular high-order mesh generation methods in the context of an efficient variational framework for the generation of curvilinear meshes. By considering previous works in a variational form, we are able to compare their characteristics and study their robustness. Alongside a description of the theory and practical implementation details, including an efficient multi-threading parallelisation strategy, we demonstrate the effectiveness of the framework, showing how it can be used for both mesh quality optimisation and untangling of invalid meshes.
AU  - Turner,M
AU  - Peiro,J
AU  - Moxey,D
DO  - 10.1016/j.proeng.2016.11.069
EP  - 352
PY  - 2016///
SN  - 1877-7058
SP  - 340
TI  - A variational framework for high-order mesh generation
T2  - Procedia Engineering
UR  - http://dx.doi.org/10.1016/j.proeng.2016.11.069
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000397997600027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/50792
VL  - 163
ER  -
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