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Optimizing the construction procedures of large-span structures based on a real-coded genetic algorithm

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Abstract

The erection phase is the most vulnerable period in the life of a structure. However, no mature and effective method for optimizing the construction procedures of large-span steel structures is yet available. Thus, proposing an optimization method for constructing such structures is critical. A real-coded genetic algorithm (GA) was proposed in the present work, and the selection, crossover, and mutation operators were programmed. The proposed algorithm is effective in optimizing integer combinations and sequences, such as an unloading sequence. A series of problems that occurred during the erection of conchshaped complex large steel structures was optimized using the proposed method. Optimum analysis was conducted using MATLAB and the general finite element software ANSYS. The optimal layouts of the lifting points, false work, and unloading sequence were derived. The influence of the GA parameters on its convergence efficiency was also studied. Therefore, the proposed GA method is reliable and effective for optimizing the construction procedures of large-span steel structures.

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Authors and Affiliations

  1. School of Civil Engineering, Tianjin University, Tianjin, 300072, China

    Zhongwei Zhao, Han Zhu, Zhihua Chen & Yansheng Du

  2. Key Laboratory of Coast Civil Structure and Safety of Ministry of Education, Tianjin, 300072, China

    Zhihua Chen

Authors
  1. Zhongwei Zhao
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  2. Han Zhu
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  3. Zhihua Chen
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  4. Yansheng Du
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Correspondence to Zhihua Chen.

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Zhao, Z., Zhu, H., Chen, Z. et al. Optimizing the construction procedures of large-span structures based on a real-coded genetic algorithm. Int J Steel Struct 15, 761–776 (2015). https://doi.org/10.1007/s13296-015-9020-8

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  • DOI: https://doi.org/10.1007/s13296-015-9020-8

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