Anisotropic Mach Cone Aligned Mesh Adaptation for Low Boom Simulations

An automated off-body Mach cone aligned structured curvilinear grid generation procedure is presented for near-field computational fluid dynamics simulations. This procedure combines output-based indicators and mesh redistribution to perform anisotropic mesh adaptation while maintaining Mach cone al...

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Bibliographic Details
Published in:AIAA journal 2024-06, Vol.62 (6), p.2076-2094
Main Authors: Ashby, Chase P., Lowe, Brandon M., Housman, Jeffrey A., Duensing, Jared C.
Format: Article
Language:English
Subjects:
Accuracy
Acoustics
Adaptation
Aircraft
Algorithms
Automation
Computational fluid dynamics
Connectivity
Decomposition
Design
Fluid dynamics
Grid generation (mathematics)
Loudness
Near fields
Numerical analysis
Overpressure
Propagation
Signatures
Simulation
Sonic booms
Workshops
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Summary:An automated off-body Mach cone aligned structured curvilinear grid generation procedure is presented for near-field computational fluid dynamics simulations. This procedure combines output-based indicators and mesh redistribution to perform anisotropic mesh adaptation while maintaining Mach cone alignment. Automation is achieved through a novel direction-based adaptation indicator formulation. The adaptation procedure is demonstrated on the JAXA Wing Body geometry and X-59 C608 demonstrator models from the Second and Third AIAA Sonic Boom Prediction Workshops, respectively. It is demonstrated that anisotropic mesh adaptation may result in a greater than 50% reduction in the resource usage required to achieve the same level of accuracy as uniform and user-constructed Mach cone aligned grids for near-field pressure signatures, ground-level overpressure signatures, and loudness metrics.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J063351