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dc.contributor.authorLópez Varela, Álvaro
dc.contributor.authorDopico, Daniel
dc.contributor.authorLuaces, Alberto
dc.date.accessioned2024-07-29T09:04:58Z
dc.date.available2024-07-29T09:04:58Z
dc.date.issued2023-08-24
dc.identifier.citationLópez Varela, Á., Dopico Dopico, D. & Luaces Fernández, A. Augmented Lagrangian index-3 semi-recursive formulations with projections. Multibody Syst Dyn 61, 195–231 (2024). https://doi.org/10.1007/s11044-023-09928-2es_ES
dc.identifier.issn1384-5640
dc.identifier.issn1573-272X
dc.identifier.urihttp://hdl.handle.net/2183/38285
dc.description.abstract[Abstract] Sensitivity analysis represents a powerful tool for the optimization of multibody system dynamics. The performance of a gradient-based optimization algorithm is strongly tied to the dynamic and the sensitivity formulations considered. The accuracy and efficiency are critical to any optimization problem, thus they are key factors in the selection of the dynamic and sensitivity analysis approaches used to compute an objective function gradient. Semi-recursive methods usually outperform global methods in terms of computational time, even though they involve sometimes demanding recursive procedures. Semi-recursive methods are well suited to be combined with different constraints enforcement schemes as the augmented Lagrangian index-3 formulation with velocity and acceleration projections (ALI3-P), taking advantage of the robustness, accurate fulfillment of constraint equations and the low computational burden. The sensitivity analysis of the semi-recursive ALI3-P formulation is studied in this document by means of the direct differentiation method. As a result, a semi-recursive ALI3-P sensitivity formulation is developed for an arbitrary reference point selection, and then two particular versions are unfolded and implemented in the general purpose multibody library MBSLIM, using as reference point the center of mass (RTdyn0) or the global origin of coordinates (RTdyn1). Besides, the detailed derivatives of the recursive terms are provided, which will be useful not only for the direct sensitivity formulation presented herein, but also for other sensitivity formulations relying on the same recursive expressions. The implementation has been tested in two numerical experiments, a five-bar benchmark problem and a buggy vehicle.es_ES
dc.description.sponsorshipinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-81005-P/ES/es_ES
dc.description.sponsorshipinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-120270GB-C21/ES/DISEÑO Y CONTROL OPTIMO DE SISTEMAS MULTICUERPO FLEXIBLES BASADO EN ANALISIS DE SENSIBILIDAD DE FORMULACIONES CON SISTEMA DE REFERENCIA FLOTANTEes_ES
dc.description.sponsorshipinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BES-2017-080727/ES/es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.urihttps://doi.org/10.1007/s11044-023-09928-2es_ES
dc.rightsCreative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectSensitivity analysises_ES
dc.subjectAugmented Lagrangianes_ES
dc.subjectSemi-recursive formulationes_ES
dc.subjectAnalytical differentiationes_ES
dc.titleAugmented Lagrangian index-3 semi-recursive formulations with projections: Direct sensitivity analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleMultibody System Dynamicses_ES
UDC.volume61es_ES
UDC.startPage195es_ES
UDC.endPage231es_ES
dc.identifier.doihttps://doi.org/10.1007/s11044-023-09928-2


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