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Research Progress on the Application of Artificial Intelligence in Building Structure Design
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Zhang-qiong WANG, Qi-lin ZHAO, Xiao-ya XU, Yi ZHOU, Yong-hui CAI
Science Technology and Engineering | 2025, 25(16) : 6598 - 6607
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Science Technology and Engineering | 2025, 25(16): 6598-6607
Surveies·Architectural Science
Research Progress on the Application of Artificial Intelligence in Building Structure Design
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Zhang-qiong WANG, Qi-lin ZHAO, Xiao-ya XU, Yi ZHOU, Yong-hui CAI
Affiliations
  • School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430073, China
Published: 2025-06-08 doi: 10.12404/j.issn.1671-1815.2308194
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Structural design is an important part of the architectural engineering design stage, which must ensure that the building is safe, reliable, economical, and durable. Artificial intelligence can replace structural designers with a lot of training and repetitive operations to find the optimal design results and improve design efficiency. In order to comprehensively understand the relevant research and application hotspots of artificial intelligence in structural design, the current research status of artificial intelligence in the three stages of scheme design, preliminary design and construction drawing design was summarized from the perspective of the entire structural design process. Through reviewing literatures, it is found that artificial intelligence methods such as expert systems, decision trees, annealing algorithms, genetic algorithms, neural networks, and linear regression have been widely used in the field of building structure design, which has brought new development directions and approaches. At present, artificial intelligence methods are more widely used in the design of aboveground structures, but less in underground structures (foundations, basements, etc.), and their application in underground structures needs to be strengthened. In addition, the quantitative translation technology of normative provisions is relatively mature, but the qualitative translation technology of normative provisions still needs to be broken, and it is necessary to strengthen the research on rule-based or machine learning-based natural language processing.

artificial intelligence  /  smart design  /  optimization algorithm  /  building structure design  /  building information modeling(BIM) technology
Zhang-qiong WANG, Qi-lin ZHAO, Xiao-ya XU, Yi ZHOU, Yong-hui CAI. Research Progress on the Application of Artificial Intelligence in Building Structure Design[J]. Science Technology and Engineering, 2025 , 25 (16) : 6598 -6607 . DOI: 10.12404/j.issn.1671-1815.2308194
Year 2025 volume 25 Issue 16
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doi: 10.12404/j.issn.1671-1815.2308194
  • Receive Date:2023-10-21
  • Online Date:2025-07-09
  • Published:2025-06-08
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  • Received:2023-10-21
  • Revised:2025-02-28
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    School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430073, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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