结构设计是建筑工程设计阶段的重要环节，须保证建筑物安全可靠、经济耐久。人工智能可代替结构设计师进行大量训练及重复操作，从而找到最优设计结果、提高设计效率。为全面了解人工智能在结构设计中的相关研究和应用热点，从整个结构设计流程的角度总结当前人工智能在方案设计、初步设计、施工图设计3个阶段的研究现状。通过查阅文献发现，专家系统、决策树、退火算法、遗传算法、神经网络、线性回归等人工智能方法在建筑结构设计领域有着广泛的应用，为其带来了新的发展方向和途径。目前，人工智能方法在地上结构设计中应用较多，但在地下结构（基础、地下室等）中应用较少，需加强其在地下结构中的应用；此外，定量的规范条文转译技术较为成熟，但定性的规范条文转译技术还有待突破，有必要加强基于规则或基于机器学习的自然语言处理研究。

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.