Researches and applications on geostatistical simulation and laboratory modeling of mine ventilation network and gas drainage zone

2015 ◽  
Vol 94 ◽  
pp. 55-64 ◽  
Author(s):  
Zhang Haoran ◽  
Lluis Sanmiquel Pera ◽  
Yaojiang Zhao ◽  
Carla Vintro Sanchez
2019 ◽  
Vol 29 (4) ◽  
pp. 585-590 ◽  
Author(s):  
Andrzej Walentek ◽  
Tomasz Janoszek ◽  
Stanisław Prusek ◽  
Aleksander Wrana

2013 ◽  
Vol 423-426 ◽  
pp. 2291-2296
Author(s):  
Wei Wei Ye ◽  
Xian Ping Xie ◽  
Meng Wei Han ◽  
Shi Yun Luo ◽  
Zhen Li ◽  
...  

Selecting the optimal air regulation scheme of mine ventilation network, the essence is to choose the network a most optimal tree and obtain the corresponding optimal cosine tree combination program.Due to a synthetic consideration of the influence of production.Management economy and other aspects on the tree selection,the air flow regulating and controlling system made by the authors is optimum It is satisfactory to use the model for the north part ventilation system of Laochang tin mine of Yunnan tin Industrial crop. It is of practical significance to combine organically air flow regulating and controlling system with mine ventilation system.


2014 ◽  
Vol 84 ◽  
pp. 752-757 ◽  
Author(s):  
Luo Wengui ◽  
Xie Xianping ◽  
Xiao Houzao ◽  
Cui Chao ◽  
Yin Xiaoyu ◽  
...  

2019 ◽  
Vol 2 (4) ◽  
pp. 212-219
Author(s):  
Stanislav Pavlov

In the work study results of influence of typical working junction angle on amount changing of local aerodynamic resistances when air flows in different directions is represented. Using finite-element software, aerodynamic parameters of elements of mine ventilation network is obtained and is compared with analytical calculations Interinfluence local aerodynamic resistances located at ventilation network consecutively in normal and reversing behavior is discovered. It allows to increase accuracy of calculation of mine ventilation network at emergency ventilation operation.


2014 ◽  
pp. 106-116
Author(s):  
Iryna Turchenko ◽  
Volodymyr Kochan ◽  
Anatoly Sachenko

Static and dynamic simulation models of a section of a mine ventilation network in order to research a sequential neural control scheme of mine airflow are developed in this paper. The techniques of neural network training set creation for both simulation models, a structure of neural network and its training algorithm are described. The simulation modeling results using static and dynamic models have showed good potential capabilities of neural control approach.


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