Research on the Characteristics of Monitoring Data of Zipingpu High Gas Tunnel: Analysis and Prediction

Authors

  • Xiaobing Kang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu
  • Sheng Luo College of Engineering, Sichuan Normal University, Chengdu
  • Xiaoyun Ma State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu
  • Mo Xu State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu
  • Leilei Guo State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu
  • Xiaodi Shi State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu
  • Zeyuan Sun College of Engineering, Sichuan Normal University, Chengdu

DOI:

https://doi.org/10.15273/ijge.2017.03.010

Keywords:

gas tunnel, dynamic monitoring, data analysis, fuzzy recognition, prediction model

Abstract

The Zipingpu tunnel is a high gas tunnel, located in the expressway section of national highway 317 from Dujiangyan to Wenchuan in Sichuan province. During its construction, gas explosion occurred many times, including a serious explosion. On the basis of summarizing the existing gas tunnel construction experiences, the Zipingpu tunnel adopted a “double insurance” scheme, which combined automatic monitoring with manual test to build a real-time and continuous gas concentration monitoring system in the tunnel. By analyzing a large number of monitoring data, it is concluded that the main factors which affect the gas concentration are tunneling blasting, ventilation condition and geological structure. Furthermore, the classification and prediction model of gas monitoring data are proposed. The predicted results obtained from the model are consistent with the measured data. This work can provide reference for other gas tunnel projects.

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Issue

Vol. 3 No. 3 (2017)

Section

Technical Notes

License

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