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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimum design of composite steel‐concrete beams with external prestressing
Abstract The concept of prestressing in concrete beams and its associated calculation procedures are well-established in the literature. However, its application in composite steel-concrete beams has been increasing despite lacking a specific approach in the main design codes. In many cases, designers are required to combine available criteria for calculating steel and reinforced concrete structures. This study aimed to formulate an optimization problem and assess CO2 emissions for the optimal design of composite steel-concrete beams with external prestressing. The design variables considered in the optimization problem include the cross-section of laminated or welded profiles, slab height, characteristic compressive strength of concrete, and the number of tendons. Solutions to the optimization problem were obtained by implementing a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The analyses included comparisons with experimental examples and optimization problems involving prestressed steel beams. Additionally, a parametric analysis across various spans was performed, allowing the identification of factors with the greatest impact on CO2 emissions. The results indicate that the chosen algorithms effectively generated solutions for the problem, with PSO generally outperforming GA. In terms of emission composition, steel was identified as the largest contributor. Furthermore, welded profiles showed better performance, allowing the omission of prestressing for spans up to 27.5 m, whereas, for laminated profiles, prestressing becomes necessary from 17.5 m. Optimal solutions were found for concrete with a compressive strength greater than 25 MPa.
Optimum design of composite steel‐concrete beams with external prestressing
Abstract The concept of prestressing in concrete beams and its associated calculation procedures are well-established in the literature. However, its application in composite steel-concrete beams has been increasing despite lacking a specific approach in the main design codes. In many cases, designers are required to combine available criteria for calculating steel and reinforced concrete structures. This study aimed to formulate an optimization problem and assess CO2 emissions for the optimal design of composite steel-concrete beams with external prestressing. The design variables considered in the optimization problem include the cross-section of laminated or welded profiles, slab height, characteristic compressive strength of concrete, and the number of tendons. Solutions to the optimization problem were obtained by implementing a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The analyses included comparisons with experimental examples and optimization problems involving prestressed steel beams. Additionally, a parametric analysis across various spans was performed, allowing the identification of factors with the greatest impact on CO2 emissions. The results indicate that the chosen algorithms effectively generated solutions for the problem, with PSO generally outperforming GA. In terms of emission composition, steel was identified as the largest contributor. Furthermore, welded profiles showed better performance, allowing the omission of prestressing for spans up to 27.5 m, whereas, for laminated profiles, prestressing becomes necessary from 17.5 m. Optimal solutions were found for concrete with a compressive strength greater than 25 MPa.
Optimum design of composite steel‐concrete beams with external prestressing
Kamila Madeira Fiorotti (Autor:in) / Adenílcia Fernanda Grobério Calenzani (Autor:in) / Élcio Cassimiro Alves (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
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