Linking objective and subjective modeling in engineering design through arc-elastic dominance
dc.contributor.author | SEBASTIAN, Patrick
IDREF: 11385692X | |
dc.contributor.author | LEDOUX, Yann
IDREF: 102217890 | |
dc.contributor.author | COLLIGNAN, Arnaud | |
dc.contributor.author | PAILHES, Jerome
IDREF: 067161731 | |
dc.date.accessioned | 2021-05-14T10:01:04Z | |
dc.date.available | 2021-05-14T10:01:04Z | |
dc.date.issued | 2012-07 | |
dc.identifier.issn | 0957-4174 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/78165 | |
dc.description.abstractEn | Engineering 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.iso | en | |
dc.publisher | Elsevier | |
dc.subject.en | Arc-elasticity | |
dc.subject.en | Engineering Design | |
dc.subject.en | Geothermal air conditioning | |
dc.subject.en | Multi-criteria decision analysis | |
dc.subject.en | Multiobjective optimization | |
dc.title.en | Linking objective and subjective modeling in engineering design through arc-elastic dominance | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1016/j.eswa.2012.01.079 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph] | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des fluides [physics.class-ph] | |
dc.subject.hal | Physique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph] | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Thermique [physics.class-ph] | |
dc.subject.hal | Physique [physics]/Mécanique [physics]/Thermique [physics.class-ph] | |
bordeaux.journal | Expert Systems with Applications | |
bordeaux.page | 7743-7756 | |
bordeaux.volume | 39 | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.issue | 9 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01020737 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01020737v1 | |
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