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Design of simply supported composite slabs of steel and concrete via metaheuristic optimization algorithm

Design of simply supported composite slabs of steel and concrete via metaheuristic optimization... Climate change has been greatly influenced by human actions since the eighteenth century. Civil construction produces a lot of CO2 that corroborates global warming, impacting climate and temperature. This sector has been striving to achieve innovative ideas that reduce these effects. Thus, the study analyzed simply supported composite slabs of steel and concrete to obtain solutions that provide a sustainable development for civil construction. This study aimed to determine better and more accepted solutions than the ones proposed by manufacturers regarding CO2 emissions. The design of the elements follows the ABNT NBR 8800:2008 standard. For the analyses, a computational tool was developed, and the optimization was performed using Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). To achieve optimized solutions regarding sustainability, the algorithms more frequently selected less thick steel formworks, smaller concrete cover, lower characteristic strength of concrete, and higher additional positive reinforcement rate, since the weight of the steel formwork and the concrete were the variables with the greatest influence on CO2 emissions. On the other hand, the insertion of additional reinforcement also reduced these emissions since this positive reinforcement function with lower CO2 emissions than the steel formwork. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Civil Engineering Springer Journals

Design of simply supported composite slabs of steel and concrete via metaheuristic optimization algorithm

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References (33)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
1563-0854
eISSN
2522-011X
DOI
10.1007/s42107-023-00770-7
Publisher site
See Article on Publisher Site

Abstract

Climate change has been greatly influenced by human actions since the eighteenth century. Civil construction produces a lot of CO2 that corroborates global warming, impacting climate and temperature. This sector has been striving to achieve innovative ideas that reduce these effects. Thus, the study analyzed simply supported composite slabs of steel and concrete to obtain solutions that provide a sustainable development for civil construction. This study aimed to determine better and more accepted solutions than the ones proposed by manufacturers regarding CO2 emissions. The design of the elements follows the ABNT NBR 8800:2008 standard. For the analyses, a computational tool was developed, and the optimization was performed using Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). To achieve optimized solutions regarding sustainability, the algorithms more frequently selected less thick steel formworks, smaller concrete cover, lower characteristic strength of concrete, and higher additional positive reinforcement rate, since the weight of the steel formwork and the concrete were the variables with the greatest influence on CO2 emissions. On the other hand, the insertion of additional reinforcement also reduced these emissions since this positive reinforcement function with lower CO2 emissions than the steel formwork.

Journal

Asian Journal of Civil Engineering – Springer Journals

Published: Jun 30, 2023

Keywords: Simply supported composite slabs; Particle swarm algorithm; Grey wolf optimizer; Additional reinforcement

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