Investigation of efficient high-order implicit Runge-Kutta methods based on generalized summation-by-parts operators

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

Abstract

This paper summarizes several new developments in the theory of high-order implicit Runge-Kutta (RK) methods based on generalized summation-by-parts (GSBP) operators. The theory is applied to the construction of several known and novel Runge-Kutta schemes. This includes the well-known families of fully-implicit Radau IA/IIA and Lobatto IIIC Runge-Kutta methods. In addition, a novel family of GSBP-RK schemes based on Gauss quadrature rules is presented along with a few optimized diagonally-implicit GSBP-RK schemes. The novel schemes are all L-stable and algebraically stable. The stability and relative efficiency of the schemes is investigated with numerical simulation of the linear convection equation with both time-independent and time-dependent convection velocities. The numerical comparison includes a few popular non-GSBP Runge-Kutta time-marching methods for reference.

Original languageEnglish
Title of host publication22nd AIAA Computational Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103667
DOIs
StatePublished - 2015
Externally publishedYes
Event22nd AIAA Computational Fluid Dynamics Conference, 2015 - Dallas, United States
Duration: 22 Jun 201526 Jun 2015

Publication series

Name22nd AIAA Computational Fluid Dynamics Conference

Conference

Conference22nd AIAA Computational Fluid Dynamics Conference, 2015
Country/TerritoryUnited States
CityDallas
Period22/06/1526/06/15

Bibliographical note

Publisher Copyright:
© 2015, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Investigation of efficient high-order implicit Runge-Kutta methods based on generalized summation-by-parts operators'. Together they form a unique fingerprint.

Cite this