High-order simulations of shock problems using hpcmp create™ -AV kestrel COFFE

Kevin R. Holst, Ryan Bond, John D. Schmisseur, Ryan S. Glasby, J. Taylor Erwin, Douglas L. Stefanski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

HPCMP CREATE-AV Kestrel COFFE has been used to model three canonical shock problems: the viscous shock tube, the hypersonic circular cylinder, and the axisymmetric double cone. The viscous shock tube case was chosen to assess COFFE’s ability to model moving shocks and to compare results between several different temporal discretization methods. The hypersonic circular cylinder case was used to determine if the inviscid flux scheme within COFFE will induce the carbuncle phenomenon when applied to a supersonic bluff body problem. Finally the double cone case was run to evaluate COFFE’s performance on a problem involving complex flow fields created by a shock wave/boundary layer interaction. Many authors have run this case using two-dimensional axisymmetric grids with quadrilateral elements, but the presented results were generated using a fully three-dimensional grid containing only tetrahedral elements. This three-dimensional approach has indicated a possible circumferential instability in a flow field previously thought to be only axisymmetric.

Original languageEnglish
Title of host publicationAIAA Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105241
DOIs
StatePublished - 2018
Externally publishedYes
EventAIAA Aerospace Sciences Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Publication series

NameAIAA Aerospace Sciences Meeting, 2018

Conference

ConferenceAIAA Aerospace Sciences Meeting, 2018
Country/TerritoryUnited States
CityKissimmee
Period01/8/1801/12/18

Funding

The first author is supported by the Civilian Academic Degree Payments (CADP) program at Arnold Engineering Development Complex. Material presented in this paper is a product of the HPCMP CREATE-AV element of the Computational Research and Engineering for Acquisition Tools and Environments (CREATE) Program, sponsored by the U.S. Department of Defense HPC Modernization Program Office. This material is also based on research supported by, or in part by, the U. S. Office of Naval Research under award number N00141512269.

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