元启发式
钢筋
温室气体
桥(图论)
钢筋混凝土
结构工程
计算机科学
阶段(地层学)
工程类
算法
医学
生态学
古生物学
内科学
生物
作者
Keyu Chen,Yanbo Zhang,B. You,Mingkai Li
出处
期刊:Journal of Computing in Civil Engineering
[American Society of Civil Engineers]
日期:2024-01-01
卷期号:38 (1)
被引量:1
标识
DOI:10.1061/jccee5.cpeng-5485
摘要
As an essential sector of the construction industry, bridge construction produces a large amount of carbon dioxide and other greenhouse gases, greatly intensifying the global greenhouse effect. Prefabricated reinforced concrete (RC) T-beams are a vital type of structural element widely used in bridge construction projects such as river-spanning bridges, high-speed railways, and urban expressways. This study proposes a bridge structural optimization framework using building information modeling (BIM) and two-stage metaheuristic searching (MS) in order to minimize the carbon emission of prefabricated RC T-beams. Under the constraints of corresponding design specifications, the first stage of the proposed MS is utilized to optimize the longitudinal steel section size and area of the T-beam, with carbon emission as the optimization objective. The optimal combination of rebar diameters is then obtained in the second stage of the proposed MS. An illustrative example is also provided to demonstrate the performance of the proposed framework. Moreover, the proposed framework is compared with conventional approaches as well as other metaheuristic algorithms to validate the developed optimization approach.
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