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First benchmark of the Unstructured Grid Adaptation Working Group

Ibanez, Daniel, Nicolas Barral, Joshua Krakos, Adrien Loseille, Todd Michal, Mike Park

Proceedings, 26th International Meshing Roundtable, Elsevier, Science Direct, September 18-21 2017

INTERNATIONAL
MESHING
ROUNTABLE

26th International Meshing Roundtable
Barcelona, Spain
September 18-21, 2017

Daniel Ibanez, Sandia National Laboratories, US, daibane@sandia.gov
Nicolas Barral, Imperial College London, GB, n.barral@imperial.ac.uk
Joshua Krakos, The Boeing Company, US, joshua.a.krakos@boeing.com
Adrien Loseille, INRIA Saclay-ile-de-France, FR, adrien.loseille@inria.fr
Todd Michal, The Boeing Company, US, todd.r.michal@boeing.com
Mike Park, NASA Langley, US, Mike.Park@nasa.gov

Abstract
Unstructured grid adaptation is a technology that holds the potential to improve the automation and accuracy of computational fluid dynamics and other computational disciplines. Difficulty producing the highly anisotropic elements necessary for simulation on complex curved geometries that satisfies a resolution request has limited this technology’s widespread adoption. The Unstructured Grid AdaptationWorking Group is an open gathering of researchers working on adapting simplicial meshes to conform to a metric field. Current members span a wide range of institutions including academia, industry, and national laboratories. The purpose of this group is to create a common basis for understanding and improving mesh adaptation. We present our first major contribution: a common set of benchmark cases, including input meshes and analytic metric specifications, that are publicly available to be used for evaluating any mesh adaptation code. We also present the results of several existing codes on these benchmark cases, to illustrate their utility in identifying key challenges common to all codes and important differences between available codes. Future directions are defined to expand this benchmark to mature the technology necessary to impact practical simulation workflows.

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