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<p>To address public safety issues in hydrogen pipeline transportation, this study conducts three - dimensional transient numerical simulations. We comprehensively consider multiple factors including pressure, soil permeability, defect location, diameter, and temperature to investigate their impacts on the leakage and diffusion characteristics of buried hydrogen pipelines. Key safety indicators are precisely quantified. For instance, when the pipeline pressure is 0.4&#xa0;MPa, the time for surface hydrogen concentration to reach the lower flammability limit is 155.8&#xa0;s. Also, the hazardous radius varies with different conditions. A multivariate nonlinear fitting equation for the hazardous radius is established, taking into account factors such as pressure and soil porosity. This equation shows a prediction error within 8%. It enables dynamic prediction of the hazard radius through quantitative analysis of multi - factor synergistic effects, providing data - driven decision - making support for optimizing pipeline safety clearance, guiding real - time monitoring, and improving emergency response efficiency. </p>

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Diffusion Behavior and Numerical Simulation Analysis of Leakage from Buried Hydrogen Pipelines

  • 期刊论文

  • 发表日期：

    2026年2月20日

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  • Haobo Jia,
  • Shujuan Qiu,
  • Qinli Lu,
  • Wenhui Song,
  • Shuaiqi Liang,
  • Ye Yuan

摘要

To address public safety issues in hydrogen pipeline transportation, this study conducts three - dimensional transient numerical simulations. We comprehensively consider multiple factors including pressure, soil permeability, defect location, diameter, and temperature to investigate their impacts on the leakage and diffusion characteristics of buried hydrogen pipelines. Key safety indicators are precisely quantified. For instance, when the pipeline pressure is 0.4 MPa, the time for surface hydrogen concentration to reach the lower flammability limit is 155.8 s. Also, the hazardous radius varies with different conditions. A multivariate nonlinear fitting equation for the hazardous radius is established, taking into account factors such as pressure and soil porosity. This equation shows a prediction error within 8%. It enables dynamic prediction of the hazard radius through quantitative analysis of multi - factor synergistic effects, providing data - driven decision - making support for optimizing pipeline safety clearance, guiding real - time monitoring, and improving emergency response efficiency.