面向桥梁工程的数字孪生技术研究进展

Research Progress of Digital Twins Technology for Bridge Engineering

针对数字孪生技术在桥梁工程领域的研究及应用现状进行综述,明确了面向桥梁工程的数字孪生的定义以及技术框架,按照工程全生命周期分阶段评述了当前桥梁工程数字孪生技术的发展,包括设计阶段的结构智能计算、施工阶段的施工管理、运维阶段的健康监测等方面。主要结论包括:基于数字孪生的结构智能计算输入形式需进一步拓展,目前仍较难实现“端对端”的技术目标;在构建桥梁数字孪生体系并开展计算分析的过程中,需要考虑有效数据量匮乏以及人工智能算法物理可解释性等问题;现有结构健康监测系统依赖于传感器数据和有限元数值模拟,有待进一步完善桥梁性态预测算法,同时运营阶段的海量数据需进行融合管理才能建立高质量的数字孪生体系。

The research and current application of digital twins technology in bridge engineering is reviewed in this paper.The definition and technical framework are clarified.According to the entire life cycle of the project,the development in different stages are discussed,including structural intelligent computing in the design stage,construction management in the construction stage,and health monitoring in the operation and maintenance stage etc.The main viewpoints include that the input form of structural intelligent computing need be further expanded because the"end-to-end"technical goal cannot be achieved at present;During the process of establishing a digital twins system for bridges and conducting computational analysis,it is necessary to consider issues such as the scarcity of effective data and the physical interpretability of artificial intelligence algorithms;The existing structural health monitoring system relies on sensor data and finite element numerical simulation,the prediction algorithm of the bridge behavior need be further improved;Meanwhile,massive data need be integrated managed during the operation stage to establish a high-quality digital twins system.