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Verification of Unstructured Grid Adaptation ComponentsAdaptive unstructured grid techniques have made limited impact on production analysis workflows where the control of discretization error is critical to obtaining reliable simulation results. Recent progress has matured a number of independent implementations of flow solvers, error estimation methods, and anisotropic grid adaptation mechanics. Known differences and previously unknown differences in grid adaptation components and their integrated processes are identified here for study. Unstructured grid adaptation tools are verified using analytic functions and the Code Comparison Principle. Three analytic functions with different smoothness properties are adapted to show the impact of smoothness on implementation differences. A scalar advection-diffusion problem with an analytic solution that models a boundary layer is adapted to test individual grid adaptation components. The scalar problems illustrate known differences in a grid adaptation component implementation and a previously unknown interaction between components. Laminar flow over a delta wing is verified with multiple, independent grid adaptation procedures to show consistent convergence to fine-grid forces and pitching moment.
Document ID
20200002748
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Park, Michael A.
(NASA Langley Research Center Hampton, VA, United States)
Balan, Aravind
(NASA Langley Research Center Hampton, VA, United States)
Alauzet, Frederic
(Université Paris-Saclay Saint-Aubin, France)
Frazza, Loic
(Sorbonne Université Paris, France)
Barral, Nicolas
(Imperial College London London, United Kingdom)
Anderson, W. Kyle
(NASA Langley Research Center Hampton, VA, United States)
Galbraith, Marshall C.
(Massachusetts Institute of Technology (MIT) Cambridge, MA, United States)
Caplan, Philip C.
(Massachusetts Institute of Technology (MIT) Cambridge, MA, United States)
Carson, Hugh A.
(Massachusetts Institute of Technology (MIT) Cambridge, MA, United States)
Michal, Todd
(Boeing Research and Technology St. Louis, MO, United States)
Krakos, Joshua A.
(Boeing Research and Technology St. Louis, MO, United States)
Kamenetskiy, Dmitry S.
(Boeing Company Seattle, WA, United States)
Loseille, Adrien
(Université Paris-Saclay Saint-Aubin, France)
Date Acquired
April 20, 2020
Publication Date
January 6, 2019
Subject Category
Mathematical And Computer Sciences (General)
Quality Assurance And Reliability
Report/Patent Number
NF1676L-32875
Funding Number(s)
WBS: 109492.02.07.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
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