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Numerical Investigation of Network-Based Shock Wave Propagation of Designated Methane Explosion Source in Subsurface Mine Ventilation System Using 1D FDM Code

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  • Sisi Que

    (School of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    State Key Laboratory of Coal Resources in Western China, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Jiaqin Zeng

    (School of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Liang Wang

    (State Key Lab of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 404000, China)

Abstract

In coal mining operations, methane explosions constitute a severe safety risk, endangering miners’ lives and causing substantial economic losses, which, in turn, weaken the production efficiency and economic benefits of the mining industry and hinder the sustainable development of the industry. To address this challenge, this article explores the application of decoupling network-based methods in methane explosion simulation, aiming to optimize underground mine ventilation system design through scientific means and enhance safety protection for miners. We used the one-dimensional finite difference method (FDM) software Flowmaster to simulate the propagation process of shock waves from a gas explosion source in complex underground tunnel networks, covering a wide range of scenarios from laboratory-scale parallel network samples to full-scale experimental mine settings. During the simulation, we traced the pressure loss in the propagation of the shock wave in detail, taking into account the effects of pipeline friction, shock losses caused by bends and obstacles, T-joint branching connections, and cross-sectional changes. The results of these two case studies were presented, leading to the following insights: (1) geometric variations within airway networks exert a relatively minor influence on overpressure; (2) the positioning of the vent positively contributes to attenuation effects; (3) rarefaction waves propagate over greater distances than compression waves; and (4) oscillatory phenomena were detected in the conduits connecting to the surface. This research introduces a computationally efficient method for predicting methane explosions in complex underground ventilation networks, offering reasonable engineering accuracy. These research results provide valuable references for the safe design of underground mine ventilation systems, which can help to create a safer and more efficient mining environment and effectively protect the lives of miners.

Suggested Citation

  • Sisi Que & Jiaqin Zeng & Liang Wang, 2024. "Numerical Investigation of Network-Based Shock Wave Propagation of Designated Methane Explosion Source in Subsurface Mine Ventilation System Using 1D FDM Code," Sustainability, MDPI, vol. 16(22), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9935-:d:1520962
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    References listed on IDEAS

    as
    1. Sergey Sidorenko & Vyacheslav Trushnikov & Andrey Sidorenko, 2024. "Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    2. Kai Wang & Haiqing Hao & Shuguang Jiang & Zhengyan Wu & Chuanbo Cui & Hao Shao & Weiqing Zhang, 2019. "Escape route optimization by cellular automata based on the multiple factors during the coal mine disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 91-115, October.
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