Domain decomposition with discrete element simulations using shared-memory parallel computing for railways applications | Zendy

Thi Minh Phuong Hoang | Zendy; Gilles Saussine | Zendy; David Dureisseix | Zendy; Pierre Alart | Zendy

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Domain 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.

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