Metaheuristic-Based Detailed Optimization of Reinforced Concrete T-Beams and Evaluation of the Effect of Concrete Class

NİGDELİ S. M., BEKDAŞ G.

Studies in Systems, Decision and Control, Springer International Publishing Ag, ss.133-149, 2026 identifier

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/978-3-032-07738-7_8
  • Yayınevi: Springer International Publishing Ag
  • Sayfa Sayıları: ss.133-149
  • Anahtar Kelimeler: ACI 318, Beam, Harmony search, Optimization, Optimum design, Reinforced concrete
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Artificial Intelligence techniques have been implemented in all applications of engineering. In optimum design, nature-inspired metaheuristic algorithms are suitable for solving nonlinear optimization problems. In this study, the optimum design of reinforced concrete (RC) T-beams was investigated via a music-inspired metaheuristic algorithm called harmony search. The optimization problem was discrete variables that are also related to practical production in construction yards. ACI 318- Building Code Requirements for Structural Concrete rules were considered in the optimization process and the effect of the concrete class was investigated for three cases having C25/30, C30/37 and C35/45 type concrete classes. Additionally, the optimization was investigated for increasing flexural moments. For the evaluation of optimum results, dimension limits for the design variables were also investigated for several cases.