Location and mechanism analysis of curtain water inrush channels based on MTI-derived parameters-a case study

Knowledge of water and sediment flow characteristics in tunnels is essential for structural safety and post-disaster rescue operations. In this research, we developed a numerical model based on the Euler–Euler approach to simulate the three-phase flow of air, water, and sediment, aiming to predict the spatiotemporal flow characteristics in tunnels following the inrush. The model assumes that air, water, and sediment constitute a continuous medium through each other. The interaction drag between phases was taken into account. A standard k-ε turbulence model was used to simulate the irregular fluid flow. The spatiotemporal fluid behavior within the tunnel was investigated by analyzing the volume fraction, fluid velocity, and fluid pressure. In addition, the effects of the support condition, the machinery obstruction, and the curve radius on the three-phase flow characteristics were discussed. Numerical simulation results indicate that in the spatial dimension, the volume fractions, velocity, and pressure all display gradient distribution; in the temporal dimension, these three parameters all show phased features. Moreover, fluid behavior is greatly influenced by the support condition, the machinery obstruction, and the curve radius. The results establish a fundamental basis for additional investigations concerning spatiotemporal characteristics prediction of water and sediment inrush.

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A data-driven quantitative model for predicting floor groundwater inrush risk under deep and thick coal seam mining

Zhan,

Liu,

et al. 2023

Preprint

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With the increase of coal mining depth, water hazards in the coal mine floor occur frequently. The coal production process is faced with complex water inrush mechanism and variable water inrush main control factors, and the uncertainties among the factors make the prediction of floor water inrush more difficult. In this paper, Tangjiahui Coal Mine, a Northwest China typical coalfield, in the Inner Mongolia Autonomous Region is taken as the research object. The prediction index system including aquifer capacity, aquiclude capacity, and geological structure is selected, with seven prediction factors being considered. Secondly, the analytic hierarchy process and entropy weight method are used to calculate the subjective and objective weights. On this basis, two models of comprehensive weight based on AHP-EW improved by game theory and improved variable weight of floor water inrush risk based on the foundation of comprehensive weight are constructed. The predicted results are displayed by using the powerful spatial management and information processing functions of GIS, and the performance of the two models is discussed and compared. By comparing the prediction results with the in-situ water inrush points, it is found that these positions are in the relatively hazardous areas of floor water inrush, which proves that the prediction model has high accuracy. Finally, the prevention measures of floor water inrush are put forward according to the risk zoning results. The research results can provide a scientific theoretical basis for mine water disaster prediction, and it is also conducive to the sustainable utilization of groundwater resources.

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Location and mechanism analysis of curtain water inrush channels based on MTI-derived parameters-a case study

Cited by 3 publications

References 39 publications

The influence of backfilling of a caved zone and magma intrusion-type faults on surface deformation in a metal mine caused by sublevel caving mining

The influence of backfilling of a caved zone and magma intrusion-type faults on surface deformation in a metal mine caused by sublevel caving mining

Numerical simulation of water and sediment flow characteristics in tunnels based on Euler–Euler three-phase flow

A data-driven quantitative model for predicting floor groundwater inrush risk under deep and thick coal seam mining

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