A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form

We present a stable discontinuous Galerkin (DG) method with a perfectly matched layer (PML) for three and two space dimensional linear elastodynamics, in velocity-stress formulation, subject to well-posed linear boundary conditions. First, we consider the elastodynamics equation, in a cuboidal domain, and derive an unsplit PML truncating the domain using complex coordinate stretching. The hyperbolic structure of the underlying system enables the construction of continuous energy estimates, in the time domain for the elastic wave equation, and in the Laplace space for a sequence of PML model problems, with variations in one, two and three space dimensions, respectively. They correspond to PMLs normal to boundary faces, along edges and in corners. Second, we develop a DG numerical method for the linear elastodynamics equation using physically motivated numerical flux and penalty parameters, which are compatible with all well-posed, internal and external, boundary conditions. When the PML damping vanishes in all directions, by construction, our choice of penalty parameters yield an upwind scheme and a discrete energy estimate analogous to the continuous energy estimate. Third, to ensure numerical stability of the discretization when PML damping is present, it is necessary to extend the numerical DG fluxes, and the numerical inter-element and boundary procedures, to the PML auxiliary differential equations. This is crucial for deriving discrete energy estimates analogous to the continuous energy estimates. Numerical solutions are evolved in time using the high order arbitrary derivative (ADER) time stepping scheme of the same order of accuracy with the spatial discretization. By combining the DG spatial approximation with the high order ADER time stepping scheme and the accuracy of the PML we obtain an arbitrarily high-order accurate wave propagation solver in the time domain. Numerical experiments are presented in two and three space dimensions corroborating the theoretical results.The work presented in this paper was enabled by funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No 671698 (ExaHyPE). A.-A.G. acknowledges additional support by the German Research Foundation (DFG) (Projects No. KA 2281/4-1, GA 2465/2-1, GA 2465/3-1), by BaCaTec (Project No. A4) and BayLat, by KONWIHR—the Bavarian Competence Network for Technical and Scientific High Performance Computing (Project NewWave), by KAUST-CRG (GAST, Grant No. ORS-2016-CRG5-3027 and FRAGEN, Grant No. ORS-2017-CRG6 3389.02), by the European Union’s Horizon 2020 research and innovation program (ChEESE, Grant No. 823844 and TEAR, Grant No. 852992)