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dc.contributor.authorGonzález Varela, Francisco Javier
dc.contributor.authorGonzález, Manuel
dc.contributor.authorMikkola, Aki
dc.date.accessioned2024-01-12T14:58:13Z
dc.date.available2024-01-12T14:58:13Z
dc.date.issued2010-03-27
dc.identifier.citationGonzález, F., González, M. & Mikkola, A. Efficient coupling of multibody software with numerical computing environments and block diagram simulators. Multibody Syst Dyn 24, 237–253 (2010). https://doi.org/10.1007/s11044-010-9199-6es_ES
dc.identifier.issn1573-272X
dc.identifier.urihttp://hdl.handle.net/2183/34884
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Multibody System Dynamics. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11044-010-9199-6.es_ES
dc.description.abstract[Abstract] Simulation of complex mechatronic systems like an automobile, involving mechanical components as well as actuators and active electronic control devices, can be accomplished by combining tools that deal with the simulation of the different subsystems. In this sense, it is often desirable to couple a multibody simulation software (for the mechanical simulation) with external numerical computing environments and block diagram simulators (for the modelling and simulation of non-mechanical components). In this work, an in-house developed C++ MBS simulation software has been coupled with the commercial tools MATLAB and Simulink, and different coupling techniques have been identified, implemented and tested in order to assess their computational performance. Two categories of coupling techniques have been investigated: those in which only one tool per-forms the integration (function evaluation) and those in which each tool uses its own integrator (co-simulation). Furthermore, the efficiency of the described coupling methods has been compared to that of equivalent monolithic models, and indications are provided to im-plement them in other simulation environments. Results show that state-of-the-art coupling techniques can reduce simulation times in one or two orders of magnitude with respect to standard techniques. Finally, advices are provided to select the coupling method best suited to a particular application, as a function of its efficiency and implementation effort.es_ES
dc.description.sponsorshipThis research has been sponsored by the Spanish MEC, through the F.P.U. Ph.D. fellowship No. AP2005-4448.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/MEC/Plan Nacional de I+D+i 2004-2007/AP2005-4448/ESes_ES
dc.relation.urihttps://doi.org/10.1007/s11044-010-9199-6es_ES
dc.subjectMultibodyes_ES
dc.subjectMultiphysicses_ES
dc.subjectCo-simulationes_ES
dc.subjectCouplinges_ES
dc.subjectEfficiencyes_ES
dc.subjectBlock diagram simulatorses_ES
dc.subjectMulticuerpoes_ES
dc.subjectMultifísicaes_ES
dc.subjectCo-simulaciónes_ES
dc.subjectAcoplamientoes_ES
dc.subjectEficienciaes_ES
dc.subjectSimuladores de diagramas de bloqueses_ES
dc.titleEfficient coupling of multibody software with numerical computing environments and block diagram simulatorses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleMultibody System Dynamicses_ES
UDC.volume24es_ES
UDC.startPage237es_ES
UDC.endPage253es_ES
dc.identifier.doihttps://doi.org/10.1007/s11044-010-9199-6


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