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dc.contributor.authorIZZI, Michele
dc.contributor.authorMONTEMURRO, Marco
IDREF: 171660978
dc.contributor.authorCATAPANO MONTEMURRO, Anita
IDREF: 180013238
dc.contributor.authorFANTERIA, Daniele
dc.contributor.authorPAILHES, Jerome
IDREF: 067161731
dc.date.accessioned2021-05-14T09:33:07Z
dc.date.available2021-05-14T09:33:07Z
dc.date.issued2020-07-13
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76028
dc.description.abstractIn this work, a design strategy for optimising thin-walled structures based on a global-local finite element (FE) modelling approach is presented. The preliminary design of thin-walled structures can be stated in the form of a constrained non-linear programming problem (CNLPP) involving requirements of different nature intervening at the different scales of the structure. The proposed multi-scale optimisation (MSO) strategy is characterised by two main features. Firstly, the CNLPP is formulated in the most general sense by including all design variables involved at each pertinent scale of the problem. Secondly, two scales (with the related design requirements) are considered: i) the structure macroscopic scale, where low-fidelity FE models are used; ii) the structure mesoscopic scale (or component-level), where more accurate FE models are involved. In particular, the mechanical responses of the structure are evaluated at both global and local scales, avoiding the use of approximated analytical methods. The MSO is here applied to the least-weight design of an aluminium fuselage barrel of a wide-body aircraft. Fully parametric global and local FE models are interfaced with an in-house metaheuristic algorithm. Refined local FE models are created onlyfor critical regions of the structure, automatically detected during the global analysis, and linked to the global one thanks to the implementation of a sub-modelling approach. The whole process is completely automated and, once set, it does not need any further user intervention.
dc.description.abstractEnIn this work, a design strategy for optimising thin-walled structures based on a global-local finite element (FE) modelling approach is presented. The preliminary design of thin-walled structures can be stated in the form of a constrained non-linear programming problem (CNLPP) involving requirements of different nature intervening at the different scales of the structure. The proposed multi-scale optimisation (MSO) strategy is characterised by two main features. Firstly, the CNLPP is formulated in the most general sense by including all design variables involved at each pertinent scale of the problem. Secondly, two scales (with the related design requirements) are considered: (a) the structure macroscopic scale, where low-fidelity FE models are used and (b) the structure mesoscopic scale (or component level), where more accurate FE models are involved. In particular, the mechanical responses of the structure are evaluated at both global and local scales, avoiding the use of approximated analytical methods. The MSO is here applied to the least-weight design of an aluminium fuselage barrel of a wide-body aircraft. Fully parametric global and local FE models are interfaced with an in-house metaheuristic algorithm. Refined local FE models are created only for critical regions of the structure, automatically detected during the global analysis, and linked to the global one, thanks to the implementation of a sub-modelling approach. The whole process is completely automated, and once set, it does not need any further user intervention.
dc.language.isoen
dc.subject.enOptimisation
dc.subject.enGenetic algorithms
dc.subject.enFuselage
dc.subject.enStiffened panels
dc.subject.enFinite element method
dc.subject.enGlobal/local modelling approach
dc.titleMulti-scale optimisation of thin-walled structures by considering a global/local modelling approach
dc.title.enMulti-scale optimisation of thin-walled structures by considering a global/local modelling approach
dc.typeArticle de revue
dc.identifier.doi10.1177/0954410020939338
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des structures [physics.class-ph]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des solides [physics.class-ph]
bordeaux.journalProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
bordeaux.page-
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02910815
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02910815v1
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