COST AND CO2 EMISSION-BASED OPTIMISATION OF REINFORCED CONCRETE DEEP BEAMS USING JAYA ALGORITHM
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Scibulcom Ltd.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The environmental impact of producing construction materials is being increasingly analysed in the recent years. This study aims at demonstrating the possibility of reducing the carbon emissions and cost of a structure while at the same keeping the structural performance at a satisfac-tory level. Optimisation algorithms play a crucial role in this process. In this study a metaheuristic algorithm called the Jaya algorithm was implemented in order to minimise the carbon emission and the cost associated with the production process of concrete and steel. As the indicator of structural performance, the ultimate shear strength was used. Optimum values of reinforcement ratio, concrete compressive strength and cross-sectional dimensions are obtained at different levels of the ultimate shear strength. The results obtained through the CO2 and cost optimisations are compared. It was demonstrated that for a given value of expected ultimate shear strength the optimum design can make nearly an order of magnitude difference in the cost and carbon emission. © 2022, Scibulcom Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
carbon emission, deep beams, metaheuristic optimisation, ultimate shear strength
Kaynak
Journal of Environmental Protection and Ecology
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
23
Sayı
6
