Abstract
As of 2017, China had 16,229 highway tunnels in 15,285.1 km that had been in service. This is one of the outstanding problems to effectively control such a large-scale network of highway tunnels, while the tunnel structure defects and traffic accidents are the main sources of risk. The main characteristics of structural defects and traffic accidents in existing highway tunnels are studied in this paper through a large number of on-site inspections and extensive literature researches, with the use of large data analysis methods. Of which, the characteristics of tunnel structure include the morphological characteristics of structural defects such as lining cracking, water seepage and insufficient thickness, and its relationship with the tunnel space position and geological conditions. The characteristics of tunnel traffic accident include the statistical characteristics of traffic accidents in the tunnels, as well as the relationship between the traffic accident and the tunnel space location, length, vehicle type and so on. Then, the relative sensitive position and key influencing factors of the safety hazards in the tunnel service are deliberated in this paper, so that the safety risk control of the highway tunnel is more active, targeted, economical and effective.
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Acknowledgements
The research was financially Supported by National Key R&D Program of China (2017YFC0806003/10) and Chongqing Research Program of Basic Research and Frontier Technology (cstc2015jcyjBX0118).
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Ding, H., Liu, S., Cai, S., Xia, Y. (2020). Big Data Analysis of Structural Defects and Traffic Accidents in Existing Highway Tunnels. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_17
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DOI: https://doi.org/10.1007/978-3-030-32029-4_17
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