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Reduction of Computation Time by Parallelization and Incorporating Co-Simulation Techniques
dc.contributor.author | Kraft, Jan |
dc.contributor.author | Schweizer, Bernhard |
dc.date.accessioned | 2020-06-15T06:13:02Z |
dc.date.available | 2020-06-15T06:13:02Z |
dc.date.issued | 2017 |
dc.identifier.isbn | 978-84-946909-2-1 |
dc.identifier.uri | http://hdl.handle.net/2117/190684 |
dc.description.abstract | The co-simulation methods considered here are based on the idea of splitting an overall model into different subsystems; the subsystems are then simulated as a coupled problem. Such an approach can be used advantageously for analyzing complex problems, for example the simulation of systems including different physical disciplines so that different specialized solvers have to be coupled in time domain. Another possible application of co-simulation methods, which is discussed here, concerns the parallelization of a monodisciplinary model. |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.publisher | CIMNE |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits |
dc.subject.lcsh | Finite element method |
dc.subject.lcsh | Coupled problems (Complex systems) -- Numerical solutions |
dc.subject.other | Co-Simulation, Applied-Force Coupling, Dynamical Systems, Parallel Computing |
dc.title | Reduction of Computation Time by Parallelization and Incorporating Co-Simulation Techniques |
dc.type | Conference report |
dc.subject.lemac | Elements finits, Mètode dels |
dc.rights.access | Open Access |
local.citation.contributor | COUPLED VII |
local.citation.startingPage | 779 |
local.citation.endingPage | 787 |