Reliability analysis-based life cycle assessment of railway components using long-term maintenance data

被引：0
|
作者：
Ji, Koochul [1 ]
Choi, Ilyoon [1 ]
Won, Jongmuk [2 ]
机构：
[1] Korea Railroad Res Inst, Adv Railrd Civil Engn Div, Gyeonggi 16105, South Korea
[2] Ulsan Natl Inst Sci & Technol UNIST, Dept Civil Urban Earth & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
来源：
DEVELOPMENTS IN THE BUILT ENVIRONMENT | 2025年 / 21卷
基金：
新加坡国家研究基金会;
关键词：
Life cycle assessment; Rail; Sleeper; Fastener; Rail grinding; TRACK GEOMETRY DETERIORATION; OPTIMIZATION; PREDICTION; SYSTEM;
D O I：
10.1016/j.dibe.2025.100629
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This study proposes a framework to evaluate the reliability of rail operation times and optimal maintenance intervals for sleepers and fasteners using a long-term maintenance database in South Korea. Additionally, the study investigates the effects of rail grinding and establishes optimal rail replacement intervals. It was found that the optimal maintenance interval of 2.04 and 2.36 months for fasteners and sleepers and optimal replacement interval of 89 months with griding interval of 10 months for rail would be recommended. It was also found that rail grinding reduces rail degradation rates and extends rail lifespan. In addition, reinforced concrete sleeper, concrete track bed (slab track), and straight rail track shows higher long-term durability than prestressed concrete sleeper, gravel ballast, and curved rail track. Overall, the proposed framework can provide data-driven cost- based optimization to determine the best maintenance strategies for long-term sustainable railway operation.
引用
收藏
页数：10
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