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Automation and optimization of RC dual systems for earthquake resisting buildings using a genetic algorithm in BIM environment / Saber Larfi

Public ISBD Titre : Automation and optimization of RC dual systems for earthquake resisting buildings using a genetic algorithm in BIM environment Type de document : document électronique Auteurs : Saber Larfi, Auteur ; Khelil Souaci, Auteur ; Nouredine Bourahla, Directeur de thèse ; Salim Tafraout, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2021 Importance : 1 fichier PDF (3.31 Mo) Présentation : ill. Note générale : 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  search Index. 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. 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  search Index. 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.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
EP00291	PB00921	Ressources électroniques	Bibliothèque centrale	Projet Fin d'Etudes	Exclu du prêt	Genie_civil	En Traitement