Hu Qunfang, Zhang Zongyang, Zhang Yu, Wang Fei, Su Zhan, Fang Hongyuan
Urban Mobility Institute, Tongji University, Shanghai 200092, China; Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China; Key Laboratory of Urban Safety Risk Monitoring and Early Warning of the Ministry of Emergency Management, Shanghai 200092, China.
Urban Mobility Institute, Tongji University, Shanghai 200092, China.
Sci Total Environ. 2024 Jun 1;927:172407. doi: 10.1016/j.scitotenv.2024.172407. Epub 2024 Apr 10.
The escalating expansion of urban subway systems in recent years has accentuated the issue of stray current corrosion within pipeline networks, emerging as a critical concern for urban safety. This paper delves into the intricate interplay between these phenomena, employing data-driven statistical analyses to elucidate the coupling characteristics between subway lines and the occurrence of failures in adjacent buried pipelines. An advanced three-dimensional finite element model was developed for stray current corrosion in pipelines, seamlessly integrating empirical data and physics-based modeling, which is to uncover the spatial nuances and multifaceted impacts on subway pipeline corrosion from both macro and micro perspectives under varying influencing factors. The study unveils a pronounced geographical and functional affinity between urban subway networks and metallic pipeline networks. The coupling attributes between subway systems and pipelines, such as distance, angle, and pipeline-specific characteristics including material and age, assume pivotal roles. The results further emphasize the hierarchical order of influence, with stray current intensity holding the greatest sway, followed by the distance between subway and pipelines, the angle between them, and soil resistivity. This paper offers a comprehensive investigation of the interrelationships and influential factors between subway systems and adjacent pipelines. It contributes to the mitigation and management of stray current corrosion in pipelines induced by nearby rail transit, thereby enhancing the resilience of both subway and pipeline networks within urban areas.
近年来，城市地铁系统的不断扩张加剧了管网中的杂散电流腐蚀问题，这已成为城市安全的一个关键问题。本文深入探讨了这些现象之间的复杂相互作用，采用数据驱动的统计分析方法来阐明地铁线路与相邻埋地管道故障发生之间的耦合特性。针对管道中的杂散电流腐蚀，开发了一种先进的三维有限元模型，该模型无缝集成了经验数据和基于物理的建模方法，旨在从宏观和微观角度揭示在不同影响因素下地铁管道腐蚀的空间细微差别和多方面影响。研究揭示了城市地铁网络与金属管网之间存在明显的地理和功能关联性。地铁系统与管道之间的耦合属性，如距离、角度以及管道的特定特征（包括材料和使用年限）起着关键作用。结果进一步强调了影响的层次顺序，杂散电流强度影响最大，其次是地铁与管道之间的距离、它们之间的角度以及土壤电阻率。本文对地铁系统与相邻管道之间的相互关系和影响因素进行了全面研究。它有助于减轻和管理附近轨道交通引起的管道杂散电流腐蚀，从而增强城市地区地铁和管网的恢复力。
