COST AND CO2 EMISSION-BASED OPTIMISATION OF REINFORCED CONCRETE DEEP BEAMS USING JAYA ALGORITHM

Cakiroglu C., Islam K., BEKDAŞ G., Apak S.

Journal of Environmental Protection and Ecology, cilt.23, sa.6, ss.2420-2429, 2022 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 6
  • Basım Tarihi: 2022
  • Dergi Adı: Journal of Environmental Protection and Ecology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Geobase, Veterinary Science Database
  • Sayfa Sayıları: ss.2420-2429
  • Anahtar Kelimeler: carbon emission, deep beams, metaheuristic optimisation, ultimate shear strength
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

© 2022, Scibulcom Ltd. All rights reserved.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.