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  • 标题:A New Water Leakage Classification Method for Tunnel Lining Based on Traffic Safety
  • 本地全文:下载
  • 作者:Hao Ding ; Xinghong Jiang ; Ke Li
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:304
  • 期号:3
  • 页码:1-10
  • DOI:10.1088/1755-1315/304/3/032082
  • 出版社:IOP Publishing
  • 摘要:Leakage disease would adversely affect the lining structure and operation environment, which may endanger the normal operation of tunnel projects. Existing leakage classification standards for tunnels are mainly based on the apparent view state, and the impacts of the actual operating environment are not fully taken into consideration. Based on the current classification standards, guidelines and the shortcomings of the current classification system, a new method has been put forward to classify the leakage of tunnel lining considering the influence on driving safety. In addition, Numerical software (CARSIM) is used to investigate the safety states of passenger car and freight car in different leakage level, vehicle types and driving speed conditions. Simulation results show that the maximal speed of passenger car on the road surface with a leakage-water depth of 1 mm, 5 mm and 11 mm is 110 km/h, 95 km/h and 75 km/h respectively; while that of freight car is 90 km/h, 85 km/h, and 60 km/h respectively in the same condition. The results of overtaking simulation on the two-shift line surface with 5-mm-deep leakage indicate that cars will not be unstable as the speed increases. However, when the speed of passenger car exceeds a critical value, a large error between actual trajectory and the expected dual-trajectory would appear. It would easily cause lane departure and vehicle collision. When the speed of freight car exceeds a critical value on the double-shift line, the yaw rate, side slip angle, lateral acceleration and lateral displacement velocity would go out of control. Combining with the tunnel leakage states and driving operation, this paper establishes a new classification method of tunnel leakage disease based on operation safety. It makes up for the insufficiency of tunnel leakage classification method and has guiding significance in actual tunnel projects.
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