组合箱梁桥是我国高速公路桥梁中应用比例最高的桥型结构，其病害突出表现为梁体不同部位开裂。由于缺乏生命周期服役性能的准确把握，往往贻误最佳维护时机，造成高昂的加固费用。结构监测技术日趋成熟使得桥梁安全性能监控和预防性养护成为现实，本项目以长期监测/检测数据为依托，以组合箱梁桥服役性能的“现在时—过去时—将来时”三个时态为研究驱动开展系列创新，包括：1）研究温度场-静应变场/静挠度场时滞效应的产生机理，建立温度场时滞效应和空间效应耦合模型以及动态称重系统数据与动应变场的相关性映射模型；2）通过组合箱梁桥损伤推演数值分析和系列模型试验，提出表征内力重分布和刚度退化等长期渐变性能的数据挖掘方法，建立服役性能退化的非线性自适应监控模型与方法；3）融合监测-检测互馈机制建立基于贝叶斯动态修正的服役性能退化可靠度预测模型，开发组合箱梁桥安全预警与管养决策支持技术和平台，实现组合箱梁桥的长寿命智能化管养。

Composite box girder bridge is the most widely used bridge type in highway bridges in China, with the most common disease of cracking in different regions of the girder. Due to the lack of adequate knowledge of its life cycle service performance, the best maintenance time is often missed, resulting in high reinforcement and strengthening costs. Structural monitoring technology is becoming more and more mature, which is making bridge safety performance monitoring and preventive maintenance become a reality. Based on long-term monitoring/testing data, this project will carry out a series of innovations with the "present tense-past tense-future tense" of service performance of composite box girder bridges as the research motivation, including: 1) Study the mechanism of time lag effect due to temperature field and static strain/static deflection field; Develop the coupled model of time-delay effect and spatial effect of vertical temperature field, and correlation mapping model of dynamic weighing system data and dynamic strain field. 2) Through both numerical analysis of damage evolution of composite box girder bridge and a series of model tests, a data mining method will be proposed to characterize the long-term gradual performance of internal force redistribution and stiffness degradation, and a non-linear adaptive monitoring model and method for service performance degradation will be established. (3) Develop the reliability prediction model of service performance degradation based on Bayesian dynamic correction by fusing monitoring-detection mutual feedback mechanism; and develop the technology and platform for early safety warning and management decision support, so as to realize the long-life intelligent management and maintenance of composite box girder bridges.