유지관리데이터를활용한도시철도운영조건별차륜마모특성비교

초록

This study quantitatively compared wheel wear characteristics between monoblock and resilient wheel groups operated under different operating and track alignment conditions using wheel maintenance data collected by an urban railway operator from 2021 to 2025, and examined the applicability of the results to maintenance decision-making. A total of 23,442 valid measurement intervals were analyzed. Daily average wear rates and mileage-normalized wear rates were calculated, and the Mann？Whitney U test and effect-size analysis were applied considering the non-normal distribution of the data. The results showed that the resilient-wheel group on Line 2 had higher wear rates than the monoblock-wheel group on Line 1, and the same tendency was confirmed by the wheel-level sensitivity analysis. In addition, Line 2 had a smaller minimum curve radius and a higher proportion of sharp curve sections with radii of 400 m or less than Line 1. These results should be interpreted as observed differences between the two wheel groups reflecting line-specific operating, track alignment, and maintenance conditions, rather than as an isolated causal effect of wheel type. The findings can provide a basis for data-driven maintenance decision-making, including wheel wear monitoring, review of wheel reprofiling intervals, and wheel life management.

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