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Automation and optimization of RC dual systems for earthquake resisting buildings using a genetic algorithm in BIM environment (2021)
Automation and optimization of RC dual systems for earthquake resisting buildings using a genetic algorithm in BIM environment [document électronique] / Saber Larfi, Auteur ; Khelil Souaci, Auteur ; Nouredine Bourahla, Directeur de thèse ; Salim Tafraout, Directeur de thèse . - [S.l.] : [s.n.], 2021 . - 1 fichier PDF (3.31 Mo) : ill.
Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2021
Bibliogr. f. 91-93
Langues : Anglais (eng)
Mots-clés : RCDS
BIM
Structural optimization
Genetic algorithm
Tabu searchIndex. décimale : PB00921 Résumé :
In the current era of technological advancements, most of the industry sectors have undergone tremendous progress over the last few decades and have reaped the benefits of process and product innovations. The Engineering & Construction sector, however, has been hesitant about fully embracing the latest technological opportunities. Back to the problems, it is found that the diversity of the partners and disciplines involved in the architecture, engineering and construction process and the iterative nature of the design procedure caused that delay towards the trend of automation and optimization. The building information modelling (BIM) environment is an emerging technology which address that drawback by providing a space for information sharing and helping the inter-disciplinary check during the conceptual phase and further stages. In this context, the present project adapts both genetic algorithm and tabu search (TS) to automate and optimize the structural design of RC dual systems for earthquake resisting buildings within a BIM platform. Finally, a genetic algorithm with multi-objective function is applied to generate an optimized structural shear walls layout under different set of structural constraints.
