Bulletin of the American Physical Society
75th Annual Meeting of the Division of Fluid Dynamics
Volume 67, Number 19
Sunday–Tuesday, November 20–22, 2022; Indiana Convention Center, Indianapolis, Indiana.
Session A09: CFD: Immersed Boundary Methods I
8:00 AM–9:57 AM,
Sunday, November 20, 2022
Room: 137
Chair: Arif Masud, University of Illinois
Abstract: A09.00003 : Variational Multiscale Immersed Boundary Method for Laminar and Turbulent flows*
8:26 AM–8:39 AM
Presenter:
Arif Masud
(University of Illinois at Urbana-Champaign)
Authors:
Arif Masud
(University of Illinois at Urbana-Champaign)
Soonpil Kang
(Graduate Research Assistant)
This talk presents an immersed boundary method for weak enforcement of Dirichlet boundary conditions on surfaces that are immersed in the stationary background discretizations. An interface stabilized form is developed by applying the Variational Multiscale Discontinuous Galerkin (VMDG) method at the immersed boundaries. The formulation is augmented with a variationally derived ghost-penalty type term. The weak form of the momentum balance equations is embedded with a residual-based turbulence model for incompressible turbulent flows. A significant contribution in this work is the variationally derived analytical expression of the Lagrange multiplier for weakly enforcing the Dirichlet boundary conditions at the immersed boundary. In addition, the analytical expression for the interfacial stabilization tensor emerges that accounts for the geometric aspects of the cut elements produced when the immersed surface geometry traverses the underlying mesh. A unique attribute of the fine-scale variational equation is that it also yields a posteriori error estimator that can evaluate the local error in weak enforcement of the essential boundary conditions at the immersed boundaries. The method is shown to work with meshes comprised of hexahedral and tetrahedral elements. Numerical test cases with increasing levels of complexity are presented to validate the method on benchmark problems, and turbulent features of flows are analyzed.
*NSF grant NSF-DMS-16-20231. Computing resources were provided by the Teragrid/XSEDE Program under grant TG-DMS100004.
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