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Metric-Field Conditioning for Mesh Adaptation Problems

Vyas, Ved and Kenji Shimada

Research Notes, 21st International Meshing Roundtable, Springer-Verlag, pp.Research Note, October 7-10 2012

IMR
PROCEEDINGS

21st International Meshing Roundtable
San Jose, CA
October 7-10, 2012

Department of Mechanical Engineering Carnegie Mellon University, Pittsburgh, PA, U.S.A.
Email: ved@cmu.edu, shimada@cmu.edu

Summary
Metric tensor fields computed from solution data for adaptation problems are not always well-behaved. They may contain noise, high gradients in desired directionality and anisotropy, global undulations in directionality, and other defects that pose challenges for meshing algorithms. We focus on the application of filters to address some of these defects through noise removal and a form of fairing. At the same time, it is desirable to retain characteristics of the original metric data. These methods are demonstrated on metric data from a high-speed, 2D flow problem.

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