华东交通大学学报2025，Vol.42Issue(6)：66-73,8.
基于异常特征提取的纵连轨道板接缝损伤识别
Damage Identification in Joints of Longitudinal Continuous Track Slabs Based on Abnormal Feature Extraction
摘要
Abstract
To investigate the damage mechanism of the wide and narrow joints of CRTS Ⅱ slab ballastless tracks and identify damage,a field investigation was conducted on a passenger-dedicated line in the East China region,followed by long-term monitoring of track slab temperature and joint displacement.Based on the DB-SCAN clustering algorithm,temperature data representing energy input and displacement data representing ener-gy output during high-temperature seasons were screened and abnormal feature data were extracted.By incorpo-rating the standard deviation,which represents data dispersion,to analyze the energy accumulation and sudden release process within the track slabs,a comprehensive computational model combining data-driven and physical mechanisms was established.A novel method for identifying wide and narrow joints damage based on abnormal feature extraction was proposed.The results show that,during the period with prolonged high temperature in summer,there is a long-term inconsistency between the temperature of the track slab and the displacement of the joints.The established physical model supplemented eight additional abnormal characteristic data for damage identification analysis of wide and narrow joints.In addition,prolonged high temperatures lead to energy accu-mulation and sudden release within the track slabs,with more pronounced energy changes observed at wide joint locations,thereby causing significant damage to the wide and narrow joints.关键词
无砟轨道/宽窄接缝/异常特征提取/能量平衡体系/损伤识别Key words
ballastless track/wide and narrow joints/abnormal feature extraction/energy balance system/dam-age identification分类
交通工程引用本文复制引用
刘浩然,李再帏,路宏遥,何越磊..基于异常特征提取的纵连轨道板接缝损伤识别[J].华东交通大学学报,2025,42(6):66-73,8.基金项目
国家自然科学基金项目(52472450) （52472450）
上海市教育委员会科研项目(2024AI007) （2024AI007）
