Open AccessElastic wave propagation in parallel: the huygens' approach
Author(s) -
Javier Sabadell
Publication year - 2002
Publication title -
revista matemática complutense
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.093
H-Index - 24
eISSN - 1696-8220
pISSN - 1139-1138
DOI - 10.5209/rev_rema.2002.v15.n1.16966
Subject(s) - domain decomposition methods , schur complement , discretization , computer science , complement (music) , domain (mathematical analysis) , simple (philosophy) , decomposition , schwarz alternating method , wave propagation , element (criminal law) , algorithm , mathematics , computational science , finite element method , mathematical analysis , physics , philosophy , law , ecology , chemistry , biology , biochemistry , epistemology , quantum mechanics , political science , thermodynamics , eigenvalues and eigenvectors , complementation , gene , phenotype
The use of parallel computers makes it feasible to simulate elastic waves throughout large heterogeneous structures, and new domain decomposition methods can be used to increase their ef- _ciency and decrease the computing time spent in the simula- tion. In this paper we introduce a simple parallel algorithm for the propagation of elastic waves in complex heterogeneous media after a _nite element discretization. This method performs more eÆciently than classic domain decomposition techniques based on substructuring (Schur complement methods) and iterative domain decomposition. Some numerical examples are shown, including anThe use of parallel computers makes it feasible to simulate elastic waves throughout large heterogeneous structures, and new domain decomposition methods can be used to increase their ef- _ciency and decrease the computing time spent in the simula- tion. In this paper we introduce a simple parallel algorithm for the propagation of elastic waves in complex heterogeneous media after a _nite element discretization. This method performs more eÆciently than classic domain decomposition techniques based on substructuring (Schur complement methods) and iterative domain decomposition. Some numerical examples are shown, including a