An overset mesh framework for an isentropic ale navier-stokes hdg formulation

Justin A. Kauffman, William L. George, Jonathan S. Pitt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fluid-structure interaction simulations where solid bodies undergo large deformations re-quire special handling of the mesh motion for Arbitrarily Lagrangian-Eulerian (ALE) formu-lations. Such formulations are necessary when body-fitted meshes with certain characteristics, such as boundary layer resolution, are required to properly resolve the problem. We present an overset mesh method to accommodate such problems in which flexible bodies undergo large de-formations, or where rigid translation modes of motion occur. To accommodate these motions of the bodies through the computational domain, an overset mesh enabled ALE formulation for fluid flow is discretized with the hybridizable discontinuous Galerkin (HDG) finite element method. The overset mesh framework applied to the HDG method enables the deforming and translating dynamic meshes to maintain quality without remeshing. Verification is performed to demonstrate that optimal order convergence O (k + 1) is obtained for arbitrary overlap and approximation order k.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105784
DOIs
Publication statusPublished - Jan 1 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: Jan 7 2019Jan 11 2019

Publication series

NameAIAA Scitech 2019 Forum

Conference

ConferenceAIAA Scitech Forum, 2019
CountryUnited States
CitySan Diego
Period1/7/191/11/19

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

Kauffman, J. A., George, W. L., & Pitt, J. S. (2019). An overset mesh framework for an isentropic ale navier-stokes hdg formulation. In AIAA Scitech 2019 Forum (AIAA Scitech 2019 Forum). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2019-1986