4.7 Article

Optimal energy conserving local discontinuous Galerkin methods for second-order wave equation in heterogeneous media

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 272, Issue -, Pages 88-107

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2014.04.009

Keywords

Wave propagation; Local discontinuous Galerkin method; Energy conservation; Optimal error estimate; Heterogeneous media

Funding

  1. NSF [DMS-1020625, DMS-1253481, DMS-1112700, DMS-1216454]
  2. DOE [DE-FG02-08ER25863]
  3. ORNL
  4. U.S. Department of Energy, Office of Advanced Scientific Computing Research
  5. UT-Battelle, LLC [DE-AC05-00OR22725]
  6. Direct For Mathematical & Physical Scien
  7. Division Of Mathematical Sciences [1253481, 1112700, 1020625] Funding Source: National Science Foundation
  8. Division Of Mathematical Sciences
  9. Direct For Mathematical & Physical Scien [1216454] Funding Source: National Science Foundation

Ask authors/readers for more resources

Solving wave propagation problems within heterogeneous media has been of great interest and has a wide range of applications in physics and engineering. The design of numerical methods for such general wave propagation problems is challenging because the energy conserving property has to be incorporated in the numerical algorithms in order to minimize the phase or shape errors after long time integration. In this paper, we focus on multi-dimensional wave problems and consider linear second-order wave equation in heterogeneous media. We develop and analyze an LDG method, in which numerical fluxes are carefully designed to maintain the energy conserving property and accuracy. Compatible high order energy conserving time integrators are also proposed. The optimal error estimates and the energy conserving property are proved for the semi-discrete methods. Our numerical experiments demonstrate optimal rates of convergence, and show that the errors of the numerical solutions do not grow significantly in time due to the energy conserving property. (C) 2014 Elsevier Inc. All rights reserved.

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