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Grant: Alliance Grants

University of Alberta

$144,500.00

Structural steel project development integrating structural design and construction engineering: quantitative methods and AI-based tools

EF 2023-24

Résumé
Design and execution of construction projects in the Canadian steel industry involve several interconnected tasks, including structural design and analysis, connection detailing, fabrication, and erection. Currently, steel industry practitioners rely heavily on experience and rules-of-thumb in decision-making for various phases of the project, which does not necessarily take into account the significant impact of structural design on various construction phases and tasks, resulting in constructability issues, erection problems, low productivity, uneconomical structures, and sometimes structural safety issues. With current advancements in data-driven technologies and their wide use in other disciplines and considering the interaction between structural design and construction engineering, there is ample opportunity for the construction industry in Canada, including consultants, fabricators, erectors, and connection designers in conjunction with the provincial and federal governments, to improve safety and quality, cost efficiency, contributing to a more sustainable steel construction industry. This project will produce well-formulated methods based on data collected from the steel construction industry and the application of artificial intelligence techniques to render effective decision support and complement conventional experience-based decision-making methods. It is expected that the proposed research will improve construction productivity in the Canadian steel construction industry and ensure public safety. Moreover, this project will train next-generation of engineers with expertise in structural engineering and construction management who can contribute to the advancement of steel construction industry in Canada. Finally, the proposed research will place Canada as a global leader in the field of the application of artificial intelligence in steel construction.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
579062-2022
Name nom
Imanpour, Ali AI
Department département
Civil and Environmental Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
144500
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Construction engineering and management
Research subject en
Génie civil
Research subject fr
Génie et gestion du bâtiment
Application title
Structural steel project development integrating structural design and construction engineering: quantitative methods and AI-based tools
Keyword
Artificial Intelligence; Constructability; Construction management; Construction projects; Decision-making support tools; Erection of structul steel; Steel construction; Steel fabrication; Steel shop production planning; Structural design
Application summary
Design and execution of construction projects in the Canadian steel industry involve several interconnected tasks, including structural design and analysis, connection detailing, fabrication, and erection. Currently, steel industry practitioners rely heavily on experience and rules-of-thumb in decision-making for various phases of the project, which does not necessarily take into account the significant impact of structural design on various construction phases and tasks, resulting in constructability issues, erection problems, low productivity, uneconomical structures, and sometimes structural safety issues. With current advancements in data-driven technologies and their wide use in other disciplines and considering the interaction between structural design and construction engineering, there is ample opportunity for the construction industry in Canada, including consultants, fabricators, erectors, and connection designers in conjunction with the provincial and federal governments, to improve safety and quality, cost efficiency, contributing to a more sustainable steel construction industry. This project will produce well-formulated methods based on data collected from the steel construction industry and the application of artificial intelligence techniques to render effective decision support and complement conventional experience-based decision-making methods. It is expected that the proposed research will improve construction productivity in the Canadian steel construction industry and ensure public safety. Moreover, this project will train next-generation of engineers with expertise in structural engineering and construction management who can contribute to the advancement of steel construction industry in Canada. Finally, the proposed research will place Canada as a global leader in the field of the application of artificial intelligence in steel construction.