A brief discussion on relationship between high-speed railway deformation monitoring and railway operation safety

doi:10.16265/j.cnki.issn1003-3033.2019.S1.032

Abstract

Abstract: In order to set the content of the high-speed rail deformation monitoring, the influence data of the construction on high bridge pier iron was captured accurately. The influence of correlation change of each monitoring item on the overall data change trend of high-speed rail deformation monitoring was analyzed. The relationship between high-speed railway deformation monitoring and railway safety operation was studied. And the analysis was verified by cases. The results show that high-speed rail deformation monitoring can respond to the changes of railway structures on the data side. It can also provide the rectification basis for emergency, and provide risk pre-warning and trend judgment for the supervision of railway management departments. The construction of the large high-speed rail line can cause a certain amount of deformation to the high-speed rail bridge piers, even to the rail surface. The railway regulatory authorities can use the monitoring data to control the quality of the construction of the high-speed rail line better to avoid accidents that affect the safety of high-speed rail operations.

Key words: high-speed railway, deformation monitoring, construction of mass, monitoring content, frequency security

CLC Number:

X924.2

YU Shengli, CHENG Liang, XIAO Chao, GAO Xicheng, WANG Baojiang, SONG Hao. A brief discussion on relationship between high-speed railway deformation monitoring and railway operation safety[J]. China Safety Science Journal, 2019, 29(S1): 180-185.

References

[1] 陈军. 运营高速铁路基础变形监测的特点及分析[J]. 江西测绘, 2016(3): 20-23,30.
CHEN Jun. Characteristics and analysis of foundation deformation monitoring for high-speed railway operation[J]. Jiangxi Surveying & Mapping, 2016(3):20-23,30.
[2] 朱杠. 地铁施工引起的高铁桥梁基础变形监测研究[D].成都:西南交通大学, 2014.
ZHU Gang. Research on foundation deformation monitoring of high-speed railway bridge caused by subway construction[D].Chengdu :Southwest Jiaotong University, 2014.
[3] 王杰华. 桥梁监测的变形监测技术应用研究[J]. 工程技术:文摘版, 2016(5):198.
WANG Jiehua. Research on application of deformation monitoring technology for bridge monitoring[J]. Engineering Technology: Abstract Edition, 2016(5): 198.
[4] 刘瑞芳. 高铁线路重点安全隐患致因分析及防范[J]. 中国安全科学学报, 2018,28(增1):19-24.
LIU Ruifang. Analysis and prevention of key safety hazards on high-speed railway lines[J]. China Safety Science Journal, 2018,28(S1):19-24.
[5] 杨彬. 变形监测浅析[J]. 世界有色金属, 2016(12):58-59.
YANG Bin. Analysis on deformation monitoring[J]. World Nonferrous Metals, 2016(12):58-59.
[6] 张高帅. 高速铁路线下工程变形自动化监测系统的研究与应用[D].长沙:中南大学, 2014.
ZHANG Gaoshuai. Research and application of automatic deformation monitoring system for off-line engineering of high-speed railway[D]. Changsha :Central South University, 2014.
[7] 郝广明. 既有高速铁路路基变形监测技术应用探讨[J]. 北京测绘, 2018, 32(11):93-96.
HAO Guangming. Discussion on the application of existing high-speed railway subgrade deformation monitoring technology[J]. Beijing Surveying and Mapping, 2018, 32(11):93-96.
[8] 潘卫. 桩基础荷载对高铁路基变形影响的现场监测实践及思考[J]. 上海铁道科技, 2015(4):124-126.
PAN Wei. Field monitoring practice and thinking on influence of pile foundation load on foundation deformation of high-speed railway[J]. Shanghai Railway Science and Technology, 2015(4):124-126.
[9] 陆晓勇, 朱建平, 石岩, 等. 高铁结构变形监测中监测手段[J]. 城市建设理论研究:电子版, 2017(30):133-134.
LU Xiaoyong, ZHU Jianping, SHI Yan, et al. Monitoring means in structural deformation monitoring of high-speed railway[J]. Urban construction Theory Research :Electronic Edition, 2017(30):133-134.
[10] TB 10182—2017,公路与市政工程下穿高速铁路技术规程[S].
TB 10182-2017,Technical specification for highway and municipal engineering undercrossing high-speed railway[S].

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