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Optimization of Prefabricated Reinforced Concrete T-beams Through a Two-Stage GA Algorithm

In: Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Yanbo Zhang

    (Hainan University)

  • Beiyu You

    (Hainan University)

  • Mingkai Li

    (The Hong Kong University of Science and Technology)

  • Keyu Chen

    (Hainan University)

Abstract

As an important part of the construction industry, bridge construction consumes a large amount of energy and materials. This study proposes a bridge structure optimization framework using a two-stage genetic algorithm (GA) in order to minimize the steel and concrete of prefabricated reinforcement concrete T-beams (RC T-beams). Under the constraints of corresponding design specifications, the first stage of the proposed GA is utilized to optimize the section size and area of the vertically-pulled steel of T-beam, with material cost as the optimization objective. Then the optimal combination of rebar diameters can be obtained by the second stage of the proposed GA. In the end, an illustrative example is provided to demonstrate the performance of the proposed framework and compares the proposed framework with conventional approaches.

Suggested Citation

  • Yanbo Zhang & Beiyu You & Mingkai Li & Keyu Chen, 2024. "Optimization of Prefabricated Reinforced Concrete T-beams Through a Two-Stage GA Algorithm," Lecture Notes in Operations Research, in: Dezhi Li & Patrick X. W. Zou & Jingfeng Yuan & Qian Wang & Yi Peng (ed.), Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, chapter 0, pages 423-439, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-1949-5_30
    DOI: 10.1007/978-981-97-1949-5_30
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