Rice University

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Mechanical Engineering

Speaker: Jingmei Qiu
Associate Professor
University of Houston

A Hierarchical Uniformly High Order DG-IMEX Scheme for the 1D BGK Equation

Wednesday, April 19, 2017
3:30 PM  to 4:30 PM

128  Mechanical Engineering Building
Rice University
6100 Main St
Houston, Texas, USA

A class of high order nodal discontinuous Galerkin implicit-explicit (DG-IMEX) schemes with asymptotic preserving (AP) property has been developed for the one-dimensional (1D) BGK equation in Xiong et. al.(JCP, 2015), based on a micro-macro reformulation. The schemes are globally stiffly accurate and asymptotically consistent, and as the Knudsen number becomes small or goes to zero, they recover first the compressible Navier-Stokes (CNS) and then the Euler limit. Motivated by the recent work of Filbet and Rey, we propose a hierarchical high order AP method, namely kinetic, CNS and Euler solvers are automatically applied in regions where their corresponding models are appropriate. The numerical solvers for different regimes are coupled naturally by interface conditions. The resulting scheme is the very first hierarchical one being proposed in the literature, that enjoys AP property as well as uniform high order accuracy. Numerical experiments demonstrate the efficiency and effectiveness of the proposed approach. As time evolves, three different regimes are dynamically identified and naturally coupled, leading to significant CPU time savings more than 80% for some of our test problems.

Biography of Jingmei Qiu:
Dr. Qiu is an Associate Professor at the Univeristy of Houston. She obtained her Ph.D. in Applied Mathematics in 2007 under the supervision of Dr. Chi-Wang Shu at Brown University. She spent one year working as a postdoc with Dr. Andrew Christlieb at Michigan State University. She then became an Assistant Professor at Colorado School of Mines from 2008-2011. Her research interests includes high order numerical schemes for hyperbolic problems. She is particularly interested in problems at hydrodynamic and kinetic scales and multi-scale problems in-between.

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