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 hal.structure.identifier
SEBASTIAN, Patrick
164351 Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.author
 hal.structure.identifier
LEDOUX, Yann
164351 Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.author
 hal.structure.identifier
COLLIGNAN, Arnaud
164351 Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.author
 hal.structure.identifier
PAILHES, Jerome
164351 Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2012
dc.date.submitted2014
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/10985/8330
dc.description.abstractEngineering design in mechanics is a complex activity taking into account both objective modeling processes derived from physical analysis and designers’ subjective reasoning. This paper introduces arc-elastic dominance as a suitable concept for ranking design solutions according to a combination of objective and subjective models. Objective models lead to the aggregation of information derived from physics, economics or eco-environmental analysis into a performance indicator. Subjective models result in a confidence indicator for the solutions’ feasibility. Arc-elastic dominant design solutions achieve an optimal compromise between gain in performance and degradation in confidence. Due to the definition of arc-elasticity, this compromise value is expressive and easy for designers to interpret despite the difference in the nature of the objective and subjective models. From the investigation of arc-elasticity mathematical properties, a filtering algorithm of Pareto-efficient solutions is proposed and illustrated through a design knowledge modeling framework. This framework notably takes into account Harrington’s desirability functions and Derringer’s aggregation method. It is carried out through the re-design of a geothermal air conditioning system.
dc.language.isoen
dc.publisherElsevier
dc.rightsPost-print
dc.subjectArc-elasticity
dc.subjectEngineering Design
dc.subjectGeothermal air conditioning
dc.subjectMulti-criteria decision analysis
dc.subjectMultiobjective optimization
dc.titleLinking objective and subjective modeling in engineering design through arc-elastic dominance
dc.identifier.doi10.1016/j.eswa.2012.01.079
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Bordeaux-Talence
dc.subject.halSciences de l'ingénieur: Mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Mécanique des fluides
dc.subject.halSciences de l'ingénieur: Mécanique: Thermique
ensam.audienceInternationale
ensam.page7743-7756
ensam.journalExpert Systems with Applications
ensam.volume39
ensam.issue9
hal.identifierhal-01020737
hal.version1
hal.statusaccept


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