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Avariational framework for high-order mesh generation

Michael, Turner, Peiro Joaquim, Moxey David

Proceedings, 25th International Meshing Roundtable, Elsevier, Science Direct, September 26-30 2016


25th International Meshing Roundtable
Washington DC, U.S.A.
September 26-30, 2016

Turner Michael, Imperial College London, GB,
Peiro Joaquim, Imperial College London, GB,
Moxey David, Imperial College London, GB,

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.

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