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基于BIM的道岔轮轨力可视化监测与安全评估以实现铁路可持续管理

Visualization Monitoring and Safety Evaluation of Turnout Wheel-Rail Forces Based on BIM for Sustainable Railway Management.

作者信息

Dong Xinyi, He Yuelei, Lu Hongyao

机构信息

College of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201600, China.

Shanghai Key Laboratory of Structural Durability and System Safety of Rail Transit, Tongji University, Shanghai 201800, China.

出版信息

Sensors (Basel). 2025 Jul 10;25(14):4294. doi: 10.3390/s25144294.

Abstract

With China's high-speed rail network undergoing rapid expansion, turnouts constitute critical elements whose safety and stability are essential to railway operation. At present, the efficiency of wheel-rail force safety monitoring conducted in the small hours reserved for the construction and maintenance of operating lines without marking train operation lines is relatively low. To enhance the efficiency of turnout safety monitoring, in this study, a three-dimensional BIM model of the No. 42 turnout was established and a corresponding wheel-rail force monitoring scheme was devised. Collision detection for monitoring equipment placement and construction process simulation was conducted using Navisworks, such that the rationality of cable routing and the precision of construction sequence alignment were improved. A train wheel-rail force analysis program was developed in MATLAB R2022b to perform signal filtering, and static calibration was applied to calculate key safety evaluation indices-namely, the coefficient of derailment and the rate of wheel load reduction-which were subsequently analyzed. The safety of the No. 42 turnout and the effectiveness of the proposed monitoring scheme were validated, theoretical support was provided for train operational safety and turnout maintenance, and technical guidance was offered for whole-life-cycle management and green, sustainable development of railway infrastructure.

摘要

随着中国高铁网络的迅速扩张,道岔成为关键部件,其安全性和稳定性对铁路运营至关重要。目前,在预留用于运营线路施工和维护且未标记列车运行线路的凌晨时段进行轮轨力安全监测的效率相对较低。为提高道岔安全监测效率,本研究建立了42号道岔的三维BIM模型,并设计了相应的轮轨力监测方案。利用Navisworks进行监测设备布置的碰撞检测和施工过程模拟,提高了电缆敷设的合理性和施工顺序对齐的精度。在MATLAB R2022b中开发了列车轮轨力分析程序进行信号滤波,并应用静态校准计算关键安全评估指标——即脱轨系数和轮重减载率,随后进行分析。验证了42号道岔的安全性和所提监测方案的有效性,为列车运行安全和道岔维护提供了理论支持,为铁路基础设施全生命周期管理及绿色可持续发展提供了技术指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eaa/12300579/bb5f89f21d34/sensors-25-04294-g001.jpg

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