Abstract
China’s construction industry has achieved comprehensive development because of its strong national economic foundation. At the same time, it has also made outstanding contributions to the further development of China’s national economy and urbanization. In order to better solve the complex problems in traditional structural design, genetic algorithms have been widely used. In this paper, based on the genetic algorithm coded by Matlab, some prefabricated components of the actual prefabricated frame concrete construction project are optimized to realize the safety of component structure, the cost economy of component construction materials, the versatility of component and the safety of component transportation and hoisting. To provide the corresponding reference for the optimized design of the building structure in the future.
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References
Nian, W.: Experimental research on a new type of fully prefabricated concrete frame. Chin. Foreign Archit. 11, 213–216 (2019)
Di, W.: A review of research on node connection methods in prefabricated buildings. Chin. Foreign Archit. 8, 150–153 (2016)
Zhengyong, L., Huiqing, Y.: Introduction to the joint construction method of prefabricated concrete frame structure. Constr. Technol. 37, 26–29 (2018)
Baoku, Q., Changfu, L.: Research on the establishment and evaluation method of the construction quality evaluation index system of prefabricated buildings. Constr. Technol. 43, 0–24 (2014)
Shu, B., Yankun, Z., Feng, H.: Analysis of the application value of BIM technology in prefabricated buildings. Constr. Econ. 36, 106–109 (2015)
Lina, H., Qianfeng, Y., Wei, H.: Research on multi-objective optimization design method of multi-ribbed composite wall based on genetic algorithm. 39, 48–51 (2019)
Xiaofeng, L., Gengdong, C.: Cooperative optimization design of building structure system and component size based on automatic grouping genetic algorithm. Chin. J. Comput. Mech. 31, 11–14 (2014)
Xia, B., Liang, M.: Research progress of genetic algorithm theory and its application. Comput. Appl. Res. 27, 2425–2428 (2020)
Lixiao, M., Jiangqing, W.: Application of genetic algorithm in combinatorial optimization problems. Comput. Eng. Sci. 27, 72–74 (2005)
Shuang, W., Chunyan, W.: A comparative analysis of the cost of prefabricated buildings and traditional cast-in-place buildings. Calculate 7, 26–29 (2014)
Haowen, Y.: Thoughts and countermeasures on industrialization of new buildings. J. Eng. Manage. 30, 1–6 (2016)
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Zhang, Y., Huang, X., Wang, L. (2023). Design Optimization of Concrete Frame Structure Based on Genetic Algorithm. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_110
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DOI: https://doi.org/10.1007/978-981-99-1428-9_110
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