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Journals / Uludağ Üniversitesi Mühendislik Fakültesi Dergisi / 2026 / Cilt: 25 Sayı: 1

Performance of ABC, TLBO and TLABC Algorithms in Optimal Design of RC Corbel According to TS 500

BETONARME KISA KONSOLLARIN TS 500’E GÖRE OPTİMUM TASARIMINDA ABC, TLBO VE TLABC ALGORİTMALARININ BAŞARIMI

Hasan Tahsin Öztürk(KARADENİZ TEKNİK ÜNİVERSİTESİ, OF TEKNOLOJİ FAKÜLTESİ)0000-0001-8479-9451
Pages
361–378
Publication Date
2020-04-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The parametric studies carried out have examined how the cantilever span, vertical and horizontal load changes affect the costs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Optimal design processes, which are an alternative to the design of reinforced concrete elements compared to traditional methods, attract the attention of researchers in parallel with the development of artificial intelligence techniques.
📊
Key Findings & Data:In this study, the design of reinforced concrete corbels with minimum cost according to TS 500 was realized with Artificial Bee Colony (ABC), Teaching-Learning Based Optimization (TLBO) and Teaching-Learning Based Artificial Bee Colony (TLABC) algorithms.
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Conclusion & Impact:The parametric studies carried out have examined how the cantilever span, vertical and horizontal load changes affect the costs.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Optimizasyon · Kısa konsol · ABC

Abstract

Optimal design processes, which are an alternative to the design of reinforced concrete elements compared to traditional methods, attract the attention of researchers in parallel with the development of artificial intelligence techniques. The need for optimization in engineering problems is increasing rapidly, especially as resources are becoming scarce. In this study, the design of reinforced concrete corbels with minimum cost according to TS 500 was realized with Artificial Bee Colony (ABC), Teaching-Learning Based Optimization (TLBO) and Teaching-Learning Based Artificial Bee Colony (TLABC) algorithms. The performance of the algorithms was compared with various statistical methods that the performance of the TLABC algorithm is better than other algorithms. The parametric studies carried out have examined how the cantilever span, vertical and horizontal load changes affect the costs.

Özet

Betonarme elemanların geleneksel yöntemlere göre tasarımına bir seçenek olan optimum tasarım süreçleri, yapay zekâ tekniklerinin gelişimine paralel olarak araştırmacıların daha çok ilgisini çekmektedir. Özellikle kaynakların giderek azalmasıyla mühendislik problemlerinde optimizasyon yapma gereksinimi hızla artmaktadır. Bu çalışmada betonarme kısa konsolların TS 500’e göre minimum maliyetle tasarımı Yapay Arı Koloni (ABC), Öğretme-Öğrenme Tabanlı Optimizasyon (TLBO) ve Öğretme-Öğrenme Tabanlı Dayalı Yapay Arı Koloni (TLABC) algoritmalarıyla gerçekleştirilmiştir. Algoritmaların başarımları çeşitli istatistiksel yöntemlerle karşılaştırılmış olup, TLABC algoritmasının başarımının diğer algoritmalara göre daha iyi olduğu belirlenmiştir. Gerçekleştirilen parametrik çalışmalarla konsol açıklığının, düşey ve yatay yük değişiminin maliyetleri nasıl etkilediği incelenmiştir.

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Cite This Article

Öztürk, H. T. (2020). Performance of ABC, TLBO and TLABC Algorithms in Optimal Design of RC Corbel According to TS 500. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, Cilt: 25 Sayı: 1, 361–378. https://doi.org/10.17482/uumfd.644684

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