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Anisotropic Goal-Based Mesh Adaptation Metric Clarification and DevelopmentAdaptive unstructured mesh techniques have a limited, but growing impact on production analysis workflows to control discretization error for reliable simulation results. Multiple independent implementations of flow solvers, anisotropic metric construction methods, and anisotropic mesh adaptation mechanics have matured. Goal-based metrics target estimated error in output functions, such as lift and drag, through the guidance of an adjoint solution. A unification of goal-based anisotropic metrics is presented for steady viscous flows, which is an active area of research. These goal-based metrics drive robust and efficient anisotropic mesh adaptation for the calculation of output functions. The super-convergent functional output error behavior of stabilized finite-element methods is exploited without a formal proof, and evidence of super-convergence is shown in numerical experiments. Mesh adapted drag and lift outputs for two simple bodies in compressible viscous flow show convergence of error to less than a single drag count. Asymptotic behavior established for relatively coarse meshes shows the efficiency of this goal-based metric when compared to solution interpolation error control and expert-guided meshing. Anisotropic mesh adaptation techniques are applied to a transport aircraft in a high-lift configuration where variation between approaches decreases with mesh refinement, but asymptotic behavior is not observed with available resources.
Document ID
20210024215
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Dmitry S Kamenetskiy
(Boeing (United States) Chicago, Illinois, United States)
Joshua A Krakos
(Boeing (United States) Chicago, Illinois, United States)
Todd Michal
(Boeing (United States) Chicago, Illinois, United States)
Francesco Clerici
(INRIA Paris-Saclay Palaiseau, France)
Frederic Alauzet
(INRIA Paris-Saclay Le Chesnay, France)
Adrien Loseille
(INRIA Paris-Saclay Le Chesnay, France)
Michael A Park
(Langley Research Center Hampton, Virginia, United States)
Stephen L Wood
(Langley Research Center Hampton, Virginia, United States)
Aravind Balan
(Universities Space Research Association Columbia, Maryland, United States)
Marshall C Galbraith
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Date Acquired
November 10, 2021
Subject Category
Aerodynamics
Meeting Information
Meeting: AIAA SciTech Forum
Location: San Diego, CA
Country: US
Start Date: January 3, 2022
End Date: January 7, 2022
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 109492.02.07.09.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
goal-based
adaptation
CFD
adjoint
SUPG
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