[1] M.J. McPherson, Subsurface Ventilation and Environmental Engineering. 1th edn, Springer Science & Business Media, New York 1993.
[2] K. Chen, J. Si, F. Zhou, R. Zhang, H. Shao, H. Zhao, Optimization of air quantity regulation in mine ventilation networks using the improved differential evolution algorithm and critical path method. Int. J. Min. Sci. Technol 25, 1, 79-84 (2015). DOI: https://doi.org/10.1016/j.ijmst.2014.11.001
[3] J. Huang, A study on optimization of control algorithm and key technologies of 3D visualization for mine ventilation system. PhD. Central South University, 2012.
[4] A.P. Sasmito, E. Birgersson, H.C. Ly, A.S. Mujumdar, Some approaches to improve ventilation system in underground coal mines environment – A computational fluid dynamic study. Tunnelling and Underground Space Technology 34, 82-95 (2013). DOI: https://doi.org/10.1016/j.tust.2012.09.006
[5] C. Xie, H. Nguyen, X. Bui, V. Nguyen, J. Zhou.Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering 13 (6), 1452-1465 (2021). DOI: https://doi.org/10.1016/j.jrmge.2021.07.005
[6] E. Acuña, I. Lowndes, A Review of Primary Mine Ventilation System Optimization. Interfaces 44, 163-175 (2014). DOI: https://doi.org/10.1287/inte.2014.0736
[7] H . Si, Dynamic Monitoring of Airflow Parameters and Air Quantity Regulation Optimization for Mine Ventilation System. PhD, University of Mining and Technology, 2012.
[8] L.H. Cheng, T.H. Ueng, C.W. Liu, Simulation of ventilation and fire in the underground facilities. Fire Saf. J 36, 6, 597-619 (2001). DOI: https://doi.org/10.1016/S0379-7112(01)00013-3
[9] T . Isobe, H. Nohara, Y. Tominaga, T. Sato, Y. Ishijima, An Analytical Investigation of Mine Ventilation Network Using a Graph Theory: Calculating method of underground roadway network using graph theory (2nd Report) 95, 337-341 (1979).
[10] A.T.J. Moll, I.S. Lowndes, Graph theory applied to mine ventilation analysis. Bulletin. The Institute of Mathematics and its Applications, 28 1992.
[11] Y. Hu, O.I. Koroleva, M. Krstić, Nonlinear control of mine ventilation networks. Systems & Control Letters 49, 4, 239-254 (2003). DOI: https://doi.org/10.1016/S0167-6911(02)00336-5
[12] T .H. Ueng, Y.J. Wang, Analysis of mine ventilation networks using nonlinear programming techniques. International Journal of Mining Engineering 2, 3, 245-252 (1984).
[13] X.S. Wu, E. Topuz, Analysis of mine ventilation systems using operations research methods. International Transactions in Operational Research 5, 4, 245-254 (1998). DOI: https://doi.org/10.1016/S0969-6016(97)00011-7
[14] G . Xu, J. Huang, B. Nie, D. Chalmers, Z. Yang, Calibration of Mine Ventilation Network Models Using the Non- Linear Optimization Algorithm. Energies 11, 1, 31 (2017).
[15] M.O. Bustamante-Rúa, A.J. Daza-Aragón, P. Bustamante-Baena, Simulation software VENTSIM™ the influence of implementation of work abandoned sealings ventilation of an underground coal mine. Boletín de Ciencias de la Tierra 90, 43, 5-13 (2018).
[16] C. Pritchard, Validation of the Ventgraph program for use in metal /non-metal mines. Proceedings of the 13th U.S./ North American Mine Ventilation Symposium, Sudbury, Ontario, Canada, 455-462 (2010).
[17] F. Wei, F. Zhu, H. Lv, The Use of 3D Simulation System in Mine Ventilation Management. Procedia Eng. 26, 1370-1379 (2011). DOI: https://doi.org/10.1016/j.proeng.2011.11.2313
[18] A. Krach, Determining diagonal branches in mine ventilation networks. Arch. Min. Sci. 59, 4, 1097-1105 (2014). DOI: https://doi.org/10.2478/amsc-2014-0076
[19] G . Pach, Optimization of forced air flow by the comparison of positive and negative regulations in mine ventilation network. Arch. Min. Sci. 63, 4, 853-870 (2018). DOI: https://doi.org/10.24425/ams.2018.124980
[20] S.J. Bluhm, W.M. Marx, F.H. Von Glehn, et al. VUMA mine ventilation software [J]. J. Mine Vent. Soc. S. Afr. 54 (3), 65-72 (2001).
[21] A. Chatterjee, L. Zhang, X. Xia, Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff Applied. Energy 146, 65-73 (2015). DOI: https://doi.org/10.1016/j.apenergy.2015.01.134
[22] D.R. Scott, F.B.Hinsley, Ventilation Network Theory. Colliery Eng. 28, 326, 159-66 (1951).
[23] W. Trutwin, Use of Digital Computers for the Study of Non-Steady States and Automatic Control Problems in Mine Ventilation Networks. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 9 (2), 289-323 (1972).
[24] Y .J. Wang, A critical path approach to mine ventilation networks with controlled flow. Society Mining Engineering AIME 1981 272,1862-72 (1977).
[25] R.L. Xu, S.R. Shi, The path method of the regulation of air quantity in the mine ventilation network. Journal FuXin Mining Institute 3, 3, 21-30 (1984).
[26] W. Hu, I. Longson, A computer method for the generalized controlled flow problem in ventilation networks. Min. Sci. Technol. 8 (2), 153-167 (1989). DOI: https://doi.org/10.1016/S0167-9031(89)90563-X
[27] H . Wang, Theory and algorithm of mine ventilation network. University of Mining and Technology press, Xu Zhou 1996.
[28] K.Y. Volokh, On foundations of the Hardy Cross method. Int. J. Solids Struct. 39, 16, 4197-4200 (2002). DOI: https://doi.org/10.1016/S0020-7683(02)00345-1
[29] Y .J. Wang, Solving mine ventilation networks with fixed and non-fixed branches. Mining Engineering (Littleton, Colorado) 42, 12 (1990).
[30] E. Acuña, S. Hall, I. Lowndes, Free and semi controlled splitting network optimisation using gas to justify the use of regulators. IV International Conference of Mining Innovation, 369-393 (2010).
[31] W. Dziurzyński, A. Krach, T. Pałka, Airflow Sensitivity Assessment Based on Underground Mine Ventilation Systems Modeling. Energies 10, 10, 1451 (2017). DOI: https://doi.org/10.3390/en10101451
[32] Y . Li, X.Pan, The algorithm research of demand sub-wind based on path. Mod. Min. 6, 60-61 (2010).
[33] H . An, J. Shi, X. Wang, L. Lyu, Application Of Depth – First Search Method In Finding Recirculation In Mine Ventilation System. Stavební obzor – Civil Engineering Journal 26, 286-295 (2017). DOI: https://doi.org/10.14311/CEJ.2017.03.0024
[34] J. Liu, J. Jia, B. Yu, Algorithm of ventilation network with unidirectional circuit. Journal of Liaoning Technical University 23, 721-724 (2013).
[35] I . Lowndes, G.C. Dandy, T.S. Marshall, T.B. Schmidt, N.G. Simpson, G.P. Raynor, Optimization of mine ventilation networks using genetic algorithms and artificial neural networks. Paper presented at the US/North American Mine Ventilation Symposium, Sudbury, Ontario, Canada, 441-447 (2010).
[36] X. She, Y. Sun, Research on optimization algorithm wind quantity distribution in ventilation networks based on generic algorithm. International Conference on Computational Intelligence & Natural Computing, 154-158 (2010). DOI: https://doi.org/10.1109/CINC.2010.5643869
[37] M.C. Luvar, C. Lupu, V.Arad, D. Cioclea, V.M. Păsculescu, N. Mija, Computerized simulation of mine ventilation networks for sustainable decision making process. Environ. Eng. Manage. J. 13, 1445-1451 (2014).
[38] L. Wei, F. Zhou, H. Zhu, Topology theory of ventilation network and path algorithm. J. China Coal Soc. 3, 926-930 (2008). DOI: https://doi.org/10.1109/CINC.2010.5643869
[39] J. Liu, Fluid network theory. China Coal Industry Publishing House, Beijing 2002. [40] D.Y. Zhong, L.G. Wang, L. Bi, J.M. Wang, Z.H. Zhu, Algorithm of complex ventilation network solution based on circuit air-quantity method. J. China Coal Soc. 40 (02), 365-370 (2015).