• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 1
Jan.  2020
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Article Contents
XU Shiqiang, WANG Mingshan, LI Jie, HU Yaozhou, REN Hongyuan. Main Influencing Factors of Dust Removal Efficiency by Negative Ionization in Tunnel Construction[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 210-217. doi: 10.3969/j.issn.0258-2724.20180367
Citation: XU Shiqiang, WANG Mingshan, LI Jie, HU Yaozhou, REN Hongyuan. Main Influencing Factors of Dust Removal Efficiency by Negative Ionization in Tunnel Construction[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 210-217. doi: 10.3969/j.issn.0258-2724.20180367

Main Influencing Factors of Dust Removal Efficiency by Negative Ionization in Tunnel Construction

doi: 10.3969/j.issn.0258-2724.20180367
  • Received Date: 02 May 2018
  • Rev Recd Date: 29 Oct 2018
  • Available Online: 21 Dec 2018
  • Publish Date: 01 Feb 2020
  • In order to study the influence of dust particle size, particle concentration, ventilation velocity, the working voltage of a negative ion system and its longitudinal installation position on the dust removal efficiency of the negative ion system in tunnel construction, a three-dimensional model of tunnel and negative ion system is established and the tunnel calculation parameters are selected according to investigation and measurement for numerical simulations. The RNG k-ε dual equation turbulence model is used to solve the current field by the momentum equation with electric field force source term. The trajectory of dust particles is solved by Lagrange method. The SIMPLE (semi-implicit method for pressure linked equations) algorithm is used to simulate the coupling between discrete and fluid phases of electric field, flow field and particle motion. In addition, field tests in the tunnel were carried out to verify the accuracy of the simulation results. The results show that the dust removal efficiency of the negative ion system improves with larger dust particle size, greater dust concentration, lower wind speed of the tunnel, higher working voltage of the negative ion system, and closer installation position of the system to the tunnel working face. Dust removal efficiencies of two groups of field sampling tests were 41.2% and 56.7% while the counterparts of numerical simulations were 38.2% and 51.1%, hence deviations being 15.5% and 12.9%, respectively. Therefore, considering the influence of large space and complex environment of tunnel under construction, it is feasible to study the dust removal efficiency of negative ion system and its relationship with main influencing factors by numerical simulation.

     

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