Open AccessDomain decomposition with discrete element simulations using shared-memory parallel computing for railways applications
Author(s) -
Thi Minh Phuong Hoang,
Gilles Saussine,
David Dureisseix,
Pierre Alart
Publication year - 2012
Publication title -
european journal of computational mechanics
Language(s) - English
Resource type - Journals
eISSN - 2642-2085
pISSN - 2642-2050
DOI - 10.13052/17797179.2012.714723
Subject(s) - domain decomposition methods , discrete element method , decomposition , parallel computing , domain (mathematical analysis) , computer science , track (disk drive) , finite element method , element (criminal law) , process (computing) , scale (ratio) , computational science , shared memory , supercomputer , structural engineering , engineering , mathematics , physics , programming language , mechanics , ecology , mathematical analysis , quantum mechanics , law , political science , biology , operating system
Numerical simulation with discrete elements leads to several issues for large-scale problems and long loading times, as for the granular dynamic simulations of the ballasted railway behaviour. To reduce computational costs, we study the use of two strategies: domain decomposition methods and shared-memory parallelisation with OpenMP. An example of a maintenance process, the tamping, on a portion of railway track with seven sleepers, is simulated.