快速发展轨道交通是中国战略需求，然而杂散电流腐蚀是重大安全隐患。针对钢混桥梁与埋地金属管线两类重要基础设施，按杂散电流腐蚀机理、发展演化规律、腐蚀疲劳损伤机制与全寿命监测展开研究。首先，基于电化学动力学，结合定量微观测试，揭示杂散电场作用下金属材料阴阳极局部区域腐蚀机理；其次，建立动态杂散电流在钢混结构及埋有管线土壤内的分布模型，进而结合多孔介质粒子传输理论，得到耦合杂散电场下阴阳极局部区域粒子场演化计算方法；第三，建立钢筋和预应力钢绞线腐蚀疲劳模型，得到耦合列车疲劳荷载和杂散电流腐蚀作用下钢混构件的粘结滑移本构，进而建立预应力钢混梁杂散电流腐蚀疲劳性能退化模型；第四，探索电力线与无线异构通信的全寿命组网机制，研究满足轨道交通杂散电流腐蚀监测网络服务质量的传输模式，建立腐蚀监测数据挖掘方法和基于透明计算的在线运算存储平台。本项目具有重要的学术价值与显著的社会、经济效益和广阔的应用前景。

Fast development of the rail transit is a national strategy of China. However, the stray current corrosion is a potentially fatal hazard to the service safety of the rail transit. Considering the two major infrastructures, e.g., reinforced concrete bridges and buried metal pipelines, there are four parts in this project, i.e., mechanisms of the stray current corrosion, evolution of the corrosion, mechanisms of the corrosion fatigue damage and life-cycle corrosion monitoring system. Firstly, the corrosion mechanisms of the cathodic and anodic regions located on the metals resulted from the stray electric fields are profoundly revealed based on the electrochemical corrosion kinetics and the experiments of quantitative microscopic analysis. Secondly, the distribution model is established to investigate leaking process of the dynamic stray current into reinforced concrete structures and soil buried pipelines, and then the algorithm of the particles field coupling the stray field close to the cathodic and anodic sites is established based on the transport theory of the porous media. Thirdly, investigate the corrosion fatigue model of the steel bar and prestressed steel strand, and then achieve the bond-slip relationship of the reinforced concrete system by coupling the high-speed train fatigue load and the stray current corrosion, and finally obtain the corrosion-fatigue-performance degradation model of the reinforced concrete beams. Finally, explore the life-cycle hybrid networking mechanisms incorporating power line and wireless communication, and then investigate the transmission mode satisfying the stray-current-monitoring service quality of the rail transit，and finally develop the data mining algorithms based on the transparent computing and storage. This project has the significant academic value, remarkable economic benefits and broad application prospects.