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Dergiler / International Journal of Engineering and Applied Sciences / 2021 / Cilt: 13 - Sayı: 4

Optimum Design of Reinforced Concrete T-Beam Considering Environmental Factors via Flower Pollination Algorithm

Aylin Ece KAYABEKİR
Gebrail BEKDAŞ
Sinan Melih NİGDELİ
Sayfa
166–178
Yayın Tarihi
2021-12-31
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Also, the use of recycled steel is %.30.24 more effective on the reduction of CO2 emission and saving the planet.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The minimum cost designs may be costly for the environment.
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Temel Bulgular & Veri:In that situation, CO2 emission minimization can be considered in the optimum design.
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Sonuç & Katkı:Also, the use of recycled steel is %.30.24 more effective on the reduction of CO2 emission and saving the planet.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Metaheuristic · Carbon Minimization · Cost Optimization

Abstract

The minimum cost designs may be costly for the environment. In that case, the cost is not only a single objective in the design of structures. In that situation, CO2 emission minimization can be considered in the optimum design. In this study, reinforced concrete (RC) T-beams were optimized via flower pollination algorithm for the environmental factor minimizing the CO2 emission of the materials. The investigation was done for 4 cases of CO2 emission values and these cases were compared with 5 cases of the cost ratios of concrete and steel. Due to this investigation, it was found that CO2 emission optimization is effective in the reduction of the CO2 emission value by 4.5% compared to cost optimization. If the ratios of CO2 emission and the cost of steel per concrete are different, the optimum design variables and objectives are different. Also, the use of recycled steel is %.30.24 more effective on the reduction of CO2 emission and saving the planet.

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Bu Makaleye Atıf Yap

KAYABEKİR, A. E., BEKDAŞ, G., NİGDELİ, S. M. (2021). Optimum Design of Reinforced Concrete T-Beam Considering Environmental Factors via Flower Pollination Algorithm. International Journal of Engineering and Applied Sciences, Cilt: 13 - Sayı: 4, 166–178. https://ajindex.com/articles/766577

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Kaynakça (13)

  1. Goldberg, D.E.: Genetic algorithms in search, Optimization and machine learning. Boston MA: Addison Wesley, 1989.
  2. Holland, J.H.: Adaptation in Natural and Artificial Systems. Ann Arbor MI: University of Michigan Press, 1975.
  3. Coello, C. C., Hernández, F. S., Farrera, F. A., Optimal design of reinforced concrete beams using genetic algorithms. Expert systems with Applications, 12(1), 101-108, 1997.
  4. Koumousis, V. K., & Arsenis, S. J., Genetic algorithms in optimal detailed design of reinforced concrete members. Computer‐Aided Civil and Infrastructure Engineering, 13(1), 43-52, 1998.
  5. Rafiq, M. Y., & Southcombe, C., Genetic algorithms in optimal design and detailing of reinforced concrete biaxial columns supported by a declarative approach for capacity checking. Computers & Structures, 69(4), 443-457, 1998.
  6. Camp, C. V., Pezeshk, S., & Hansson, H., Flexural design of reinforced concrete frames using a genetic algorithm. Journal of Structural Engineering, 129(1), 105-115, 2003.
  7. Rath, D. P., Ahlawat, A. S., & Ramaswamy, A., Shape optimization of RC flexural members. Journal of Structural Engineering, 125(12), 1439-1446, 1999.
  8. Govindaraj, V., & Ramasamy, J. V., Optimum detailed design of reinforced concrete continuous beams using genetic algorithms. Computers & structures, 84(1-2), 34-48, 2005. Lepš, M., & Šejnoha, M., New approach to optimization of reinforced concrete beams. Computers & structures, 81(18-19), 1957-1966, 2003.
  9. Sahab, M. G., Ashour, A. F., & Toropov, V. V., A hybrid genetic algorithm for reinforced concrete flat slab buildings. Computers & structures, 83(8-9), 551-559, 2005.
  10. Sahab, M. G., Ashour, A. F., & Toropov, V. V., Cost optimisation of reinforced concrete flat slab buildings. Engineering Structures, 27(3), 313-322, 2005.
  11. Bekdaş, G., & Nigdeli, S. M., Optimization of T-shaped RC flexural members for different compressive strengths of concrete. International Journal of Mechanics, 7, 109-119, 2013.
  12. Bekdas, G., & Nigdeli, S. M., The optimization of slender reinforced concrete columns. PAMM, 14(1), 183-184, 2014. Bekdaş G., & Nigdeli S.M., The Effect of Eccentricity for Optimum Compressively Loaded Reinforced Concrete Column. In 15th EU/ME Workshop: Metaheuristic and Engineering, Istanbul, Turkey, 2014. Nigdeli S.M., & Bekdaş G., Optimization of reinforced concrete shear walls using harmony search. In 11th International Congress on Advances in Civil Engineering, Istanbul, Turkey, 2014.
  13. Akin, A., & Saka, M. P., Harmony search algorithm based optimu