Minghan Xu

Ph.D. (he/him)



A real-time monitoring temperature-dependent risk index for predicting mine water inrush from collapse columns through a coupled thermal--hydraulic-mechanical model


Journal article


Jiyuan Zhao, Weitao Liu, Jianjun Shen, Minghan Xu, Agus P Sasmito
Journal of Hydrology, vol. 607, Elsevier, 2022, p. 127565


Cite

Cite

APA   Click to copy
Zhao, J., Liu, W., Shen, J., Xu, M., & Sasmito, A. P. (2022). A real-time monitoring temperature-dependent risk index for predicting mine water inrush from collapse columns through a coupled thermal--hydraulic-mechanical model. Journal of Hydrology, 607, 127565. https://doi.org/10.1016/j.jhydrol.2022.127565


Chicago/Turabian   Click to copy
Zhao, Jiyuan, Weitao Liu, Jianjun Shen, Minghan Xu, and Agus P Sasmito. “A Real-Time Monitoring Temperature-Dependent Risk Index for Predicting Mine Water Inrush from Collapse Columns through a Coupled Thermal--Hydraulic-Mechanical Model.” Journal of Hydrology 607 (2022): 127565.


MLA   Click to copy
Zhao, Jiyuan, et al. “A Real-Time Monitoring Temperature-Dependent Risk Index for Predicting Mine Water Inrush from Collapse Columns through a Coupled Thermal--Hydraulic-Mechanical Model.” Journal of Hydrology, vol. 607, Elsevier, 2022, p. 127565, doi:10.1016/j.jhydrol.2022.127565.


BibTeX   Click to copy

@article{zhao2022a,
  title = {A real-time monitoring temperature-dependent risk index for predicting mine water inrush from collapse columns through a coupled thermal--hydraulic-mechanical model},
  year = {2022},
  journal = {Journal of Hydrology},
  pages = {127565},
  publisher = {Elsevier},
  volume = {607},
  doi = {10.1016/j.jhydrol.2022.127565},
  author = {Zhao, Jiyuan and Liu, Weitao and Shen, Jianjun and Xu, Minghan and Sasmito, Agus P}
}

  • A coupled thermal–hydraulic-mechanical model water inrush from collapse columns.
  • This model is validated against water-inrush field data.
  • Temperature changes faster than velocity in early stages of water inrush.
  • A temperature-dependent risk index (TRI) to predict water inrush.
  • An universal criterion based on TRI thresholds to evaluate water inrushes.

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