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Simulation Study on Gas Leakage Law and Early Warning in a Utility Tunnel

Author

Listed:
  • Ru Wang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Zhenji Zhang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Daqing Gong

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

The large-scale construction of utility tunnels improves people’s daily life, but also increases the probability of gas leakage events. Gas is a flammable and explosive substance, and once a leakage and explosion accident occurs it will seriously affect the safety of personal property and disturb the urban order. Although the application of utility tunnels is becoming more and more widespread, the research on its operation and maintenance management is not sufficient. How to effectively and safely implement the operation and maintenance management of utility tunnels has become an important issue of concern for scholars at home and abroad. This paper takes the Beijing Winter Olympic Games utility tunnels as the research object, uses ANSYS Fluent R18.0, establishes the simulation model through the relevant fluid mechanics theory, and theoretically demonstrates the physical relationships of the relevant parameters. Through the simulation analysis of various leakage scenarios, the gas diffusion law is obtained when a small hole leaks, so as to determine the most economical and safest gas sensor deployment mode. The research results can provide theoretical support for the construction of utility tunnels in the future, provide ideas for the preparation of relevant system documents for utility tunnels, and ensure the orderly and scientific construction of utility tunnel projects.

Suggested Citation

  • Ru Wang & Zhenji Zhang & Daqing Gong, 2023. "Simulation Study on Gas Leakage Law and Early Warning in a Utility Tunnel," Sustainability, MDPI, vol. 15(21), pages 1-25, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15375-:d:1268971
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