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

Yanbo Zhang (), Beiyu You (), Mingkai Li () and Keyu Chen ()
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Yanbo Zhang: Hainan University
Beiyu You: Hainan University
Mingkai Li: The Hong Kong University of Science and Technology
Keyu Chen: Hainan University

Chapter Chapter 30 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 423-439 from Springer

Abstract: 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.

Keywords: Reinforcement concrete (RC) T-beam; Structure optimization; Two-stage genetic algorithm (GA) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-1949-5_30

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