中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (S1): 71-76.doi: 10.16265/j.cnki.issn1003-3033.2020.S1.014

• 安全工程技术 • 上一篇    下一篇

铁路客站结构健康监测应用现状及展望

姜锐 高级工程师   

  1. 中国国家铁路集团有限公司 工程管理中心, 北京 100844
  • 收稿日期:2020-10-09 修回日期:2020-11-12 出版日期:2020-12-30 发布日期:2021-07-15
  • 作者简介:姜 锐 (1973—),女,河南宜阳人,博士,高级工程师,主要从事铁路客站设计及建设管理等方面的工作。E-mail:564387298@qq.com。

Research status and prospect of health monitoring on railway station structures

JIANG Rui   

  1. Engineering Management Center, CHINA RAILWAY, Beijing 100844, China
  • Received:2020-10-09 Revised:2020-11-12 Online:2020-12-30 Published:2021-07-15

摘要: 为及时发现结构损伤,最大程度地保证铁路客站结构安全,总结研究结构健康监测在铁路客站无柱雨棚、站房屋盖、高架层及承轨层等方面的应用现状,分析客站结构健康监测存在的传感器布置、结构损伤识别和预警阈值等问题,分类介绍结构损伤的识别方法,并在结构建设和运维等方面提出建议。研究表明:应在改进既有文献方法的基础上,考虑客站使用环境、自身结构特点,研究更适合的损伤识别方法;传感器的优化布置还要考虑施工操作性要求;应加强建设和运维部门的信息共享,以便形成长期有效的铁路客站结构健康监测管理机制。

关键词: 铁路客站, 结构安全, 健康监测, 传感器, 损伤识别

Abstract: In order to find out the damages of the station structures timely to ensure structural safety to the greatest extent, an overview of health monitoring on railway station structures, including canopy without platform columns, roof structures, elevated layer and bearing rail layer were presented, problems of sensor layout, structural damage identification and early warning threshold in the passenger station structural health monitoring were analyzed, identification methods of structural damage was introduced and suggestions in the aspects of structural construction, operation and maintenance were put forward.The results show that damage identification method suitable for railway station should be studied based on existed methods, operating environment and structural features.Optimized arrangement of sensors should also consider operational requirements of construction. Information sharing between construction and operation departments should be strengthened so as to form a long-term and effective monitoring and management mechanism of railway passenger station structure health.

Key words: railway station, structural safety, health monitoring, sensor, damage identification

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