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Modelling and simulation to design multi-storey timber building using multi-objective Particle Swarm Optimisation

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorARMAND-DECKER, Stephanie
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorNDIAYE, Amadou
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSEMPEY, Alain
IDREF: 123978777
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorGALIMARD, Philippe
IDREF: 228231698
dc.contributor.authorPAULY, Marie
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorLAGIERE, Philippe
IDREF: 11425995X
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBOS, Frederic
IDREF: 060586184
dc.date.accessioned2024-08-27T09:50:26Z
dc.date.available2024-08-27T09:50:26Z
dc.date.issued2014-09-10
dc.date.conference2014-09-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201313
dc.description.abstractEnIn order to promote multi-storey timber building projects, a preliminary design methodology with optimisation step and decision-making support is proposed. The objective is to optimise building envelope composition taking into account trade-off between heating needs, summer thermal comfort, floor vibration comfort, global warming potential and embodied energy objectives. These objectives, that are conflicting and can implement in the same time continuous and discrete variables, will be then modelled as objective functions to be optimised in multi-objective manner. To obtain thermal objectives, a time consuming option is to couple an optimiser with a detailed simulation models. Another alternative is to generate meta-models and implement them directly to the optimiser as objective-functions. The multi-objective optimisation will be achieved using the metaheuristic Particle Swarm Optimisation (PSO) to determine the Pareto front of optimised solutions. A case-study is explored using two thermal meta-models. A Pareto front is obtained and analysed.
dc.description.sponsorshipINEF4 - ANR-10-IEED-0013en_US
dc.language.isoENen_US
dc.subject.enMulti-objective optimisation
dc.subject.enEnergy simulation
dc.subject.enMeta-model
dc.subject.enParticle Swarm Optimisation
dc.title.enModelling and simulation to design multi-storey timber building using multi-objective Particle Swarm Optimisation
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.conference.titleThe International Workshop on Simulation for Energy, Sustainable Development & Environmenten_US
bordeaux.countryfren_US
bordeaux.conference.cityBordeauxen_US
hal.identifierhal-04678716
hal.version1
hal.date.transferred2024-08-27T09:50:28Z
hal.proceedingsouien_US
hal.conference.end2014-09-12
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014-09-10&rft.au=ARMAND-DECKER,%20Stephanie&NDIAYE,%20Amadou&SEMPEY,%20Alain&GALIMARD,%20Philippe&PAULY,%20Marie&rft.genre=unknown


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