roadway networks
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Author(s):  
Xiaoyan Zhang ◽  
Qiang Wu ◽  
Yingwang Zhao ◽  
Shouqiang Liu ◽  
Hua Xu

Abstract Water inrush accidents seriously threaten underground mining production, so the accurate prediction of the spreading process of water inrush is essential for the formulation of water-inrush-control plans and rescue schemes. This paper proposes a spatiotemporal model based on pipe-flow theory to simulate the spreading process of water inrush in mine roadway networks. The energy-loss term is added to this model to improve the simulation accuracy in bifurcated roadways, and pumps and water-blocking equipment are considered in controlling the spreading process of water inrush. Through experimental case studies, the simulation results and the function of the energy-loss term are verified. A sensitivity analysis is then carried out to assess the impact of the model parameters. The results show that the model outputs are most sensitive to the roadway length, cross-section width, and energy-loss coefficient. The model exhibited maximal sensitivity to the geometric parameters compared with the hydraulic parameters. Furthermore, the spreading process of a real water inrush in a coal mine in North China is simulated, and the water-inrush-control measures are evaluated. The overall results indicate that the proposed spatiotemporal model accurately predicts the spreading process of water inrush and is thus applicable to large-scale mine roadway networks.


2021 ◽  
Author(s):  
Shraddha Praharaj ◽  
T. Donna Chen ◽  
Faria T. Zahura ◽  
Madhur Behl ◽  
Jonathan L. Goodall
Keyword(s):  

2021 ◽  
Author(s):  
Anna Karatzetzou ◽  
Sotiria Stefanidou ◽  
Stefanos Stefanidis ◽  
Grigorios Tsinidis ◽  
Dimitrios Pitilakis

2020 ◽  
Vol 44 (3) ◽  
pp. 248-252 ◽  
Author(s):  
Subasish Das ◽  
Anandi Dutta
Keyword(s):  

2018 ◽  
Vol 144 (9) ◽  
pp. 04018047
Author(s):  
Weike Lu ◽  
Feng Wang ◽  
Lan Liu ◽  
Guojing Hu

2017 ◽  
Vol 10 (1) ◽  
pp. 123-130 ◽  
Author(s):  
Yao Tong ◽  
◽  
Linjun Lu ◽  
Zhan Zhang ◽  
Yi He ◽  
...  

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