Anisotropic Mach Cone Aligned Mesh Adaptation for Low Boom Simulations

Speaker: Chase Ashby, NASA Ames Research Center
July 6, 2023

Presentation

Abstract

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 model 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 percent 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.

Biography

Chase Ashby is a NASA Pathways Student at Ames Research Center. He received his B.S. in Computational Mathematics from Colorado State University in 2017 and an M.S. in Mathematics from the University of Kentucky in 2019. Chase is currently a Ph.D. candidate in Mathematics at the University of Kentucky under the guidance of Dr. Peter Hislop and Dr. Christoph Brehm. As a NASA Pathways Student, Chase works within the Launch, Ascent, and Vehicle Aerodynamics (LAVA) group under the mentorship of Dr. Jeffrey Housman. His doctoral work focuses on the development of efficient anisotropic adaptation algorithms for structured overset curvilinear grids.

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