NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Enabling Metric-Based Mesh Adaptation for Advanced Compressible Flow Simulations Using US3DThis work presents a metric-based mesh adaptation capability added to the flow solver US3D that is used to improve the accuracy of atmospheric entry simulations. Flow past an entry vehicle in free-flight is usually unsteady and characterized by anisotropic flow features like a strong bow shock and small-scale isotropic flow features like turbulent eddies in the wake. The results presented in this paper demonstrate that we are currently able to iteratively apply metric-based mesh adaptation to improve the solution accuracy by simultaneously targeting isotropic and anisotropic flow features. A simplified workflow of running CFD simulations for entry vehicles is presented where we start off with a coarse initial mesh to compute a first approximation of the flow. This coarse mesh is then iteratively refined using the newly developed metric to improve the resolution of the CFD computation. Furthermore, we demonstrate that we are able to adapt large mesh sizes in a timely fashion which allows us to start thinking about applying this adaptive framework to unsteady atmospheric entry CFD simulations.
Document ID
20210024953
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
D Ekelschot
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
J M Brock
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
November 25, 2021
Subject Category
Fluid Mechanics And Thermodynamics
Meeting Information
Meeting: AIAA Scitech 2022
Location: San Diego
Country: US
Start Date: January 3, 2022
End Date: January 6, 2022
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
PROJECT: Entry Systems Modeling
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Mesh adaptation
Compressible flows
No Preview Available