HE Changhong, LI Zheng, LIU Jidong, WU Mengzhen, ZHENG Jun, LI Shaopeng
Journal of Railway Engineering Society. 2026, 43(4): 72-78.
Research purposes: As the operating mileage and running speeds of high-speed railways in China continue to increase, a growing proportion of lines are operating in complex climatic regions characterized by low temperatures, high humidity, and strong winds, making atmospheric icing of the catenary increasingly prominent. Icing significantly alters the geometric morphology and electrical properties of the pantograph-catenary contact interface, which may lead to unstable current collection and frequent arcing. In severe cases, it can cause train service interruptions and delays, and has become a critical environmental factor restricting the safe operation of high-speed railways. In view of the insufficient understanding of the icing formation mechanism and the unclear dynamic evolution characteristics of catenary icing, this study systematically investigates the icing formation and growth process, establishes a dynamic evolution analysis method for catenary icing, and provides theoretical support for the safe operation of catenary under complex climatic conditions.
Research conclusions: (1) A dynamic icing evolution model for the catenary is established by coupling airflow computation with ice profile growth analysis. Using collision efficiency, capture efficiency, and freezing fraction as key parameters, the model enables quantitative characterization of the temporal evolution of ice thickness and profile morphology. (2) The influences of meteorological factors, including ambient temperature, wind speed, and liquid water content, on icing growth rate and spatial distribution characteristics are clarified, and the stage-dependent differences in icing development under various parameter combinations are identified. (3) A state-tracking algorithm is introduced to continuously identify and quantitatively classify the icing development process, achieving dynamic characterization from initial adhesion to the stable growth stage. (4) The research findings can be applied to icing prediction and assessment, operational risk warning, and the optimization design of anti-icing and de-icing technologies for high-speed railway catenary under complex service climatic environments.