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. Laminar flow over a delta wing and turbulent flow over an ONERA M6 wing are verified with multiple, independent grid adaptation procedures to show consistent convergence to fine-grid forces and a moment. The scalar problems illustrate known differences in a grid adaptation component implementation and a previously unknown interaction between components. The wing adaptation cases in the current study document a clear improvement to existing grid adaptation procedures. The stage is set for the infusion of verified grid adaptation into production fluid flow simulations.
Document ID
20200002384
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Park, Michael A. (NASA Langley Research Center Hampton, VA, United States)
Balan, Aravind (NASA Langley Research Center Hampton, VA, United States)
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)