Ice Hanging Mechanism and Early Warning in High-speed Railway Tunnels in Severe Cold Area

被引:0
|
作者
Xu P. [1 ]
Wu Y. [2 ]
Zhang T. [3 ]
Fu H. [2 ]
Shao S. [2 ]
机构
[1] School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan
[2] School of Civil Engineering, Central South University, Changsha
[3] China Railway Harbin Group Co., Ltd., Harbin
来源
关键词
early warning of ice; hanging ice; high-speed railway; the Internet of Things; tunnel in cold region;
D O I
10.3969/j.issn.1001-8360.2023.06.019
中图分类号
学科分类号
摘要
In order to reduce the workload of winter ice hanging inspection of long high-speed railway tunnels in cold regions and provide guidance for manual deicing, based on the tunnel ice hanging simulation test, the growth and development model of tunnel ice hanging was obtained, and the tunnel lining ice hanging prediction and early warning system was established, which provides guidance for deicing by predicting the range and development degree of tunnel ice hanging. The ice hanging simulation test shows that a clear division exists between icing area and non-icing area in the tunnel, with a boundary of the division of -5 t. There is an optimum temperature range for the growth and development of hanging ice on tunnel lining. When the temperature in the tunnel is higher than this temperature range, the groundwater flowing from the water seepage points, affected by its own heat, limits the growth of ice hanging. When the temperature in the tunnel is lower than this temperature, the heat is rapidly lost when the water flows through the concrete pores, resulting in the freezing of the water seepage points, and the inability of ice to grow. The growth and development model of hanging ice was obtained under the condition of each leakage water flow. Based on the Internet of Things and intelligent temperature recorder, the real-time temperature distribution of the tunnel was obtained. Combined with the leakage distribution and volume in the tunnel, the ice hanging section and ice hanging severity of the tunnel were obtained by analyzing the ice hanging growth model embedded in the system, which provides guidance for the inspection of ice hanging in the tunnel. Compared with walking inspections throughout the tunnel, the ice hanging prediction and early warning system can reduce 1/3 inspection workload. © 2023 Science Press. All rights reserved.
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页码:169 / 174
页数:5
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