基于BIM和AI技术的铁路桥梁智能布跨研究

针对我国铁路桥梁占比高、标准构件应用范围广、孔跨布置作业繁重的特点，将建筑信息模型（BIM,Building Information Modeling）与人工智能（AI,Artificial Intelligence）技术相结合，进行桥梁智能布跨研究。文章根据桥梁布跨原则，基于信息集，选用Q-Learning算法对Bentley平台二次开发，形成了一套完整的可视化桥梁布跨方案。验证结果表明，该方案可应用于一般铁路桥梁设计中，并从设计层提高BIM数据应用深度与广度，提高桥梁布跨工作效率与质量。

Intelligent span arrangement of railway bridges based on BIM and AI technology

In view of the high proportion of railway bridges in China, the wide application range of standard components and the heavy workload of span layout, this paper studied the intelligent span layout of bridges by combining building information model with artificial intelligence technology. According to the bridge span arrangement principle, based on the information set, this paper selected the Q-learning algorithm for the secondary development of Bentley platform, and formed a complete set of visual bridge span arrangement scheme. The verification results show that the scheme can be applied to the design of general railway bridges, and improve the application depth and breadth of BIM data from the design level, and improve the efficiency and quality of bridge span layout.