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Environmental Earth Sciences

, 78:696 | Cite as

Roof and floor anomalous response of mine resistivity method

  • Weifu GaoEmail author
  • Yu LiuEmail author
  • Longqing Shi
  • Peihe Zhai
Original Article
  • 33 Downloads

Abstract

As the exploitation level of coal seams increases in China, mine water inrush is becoming increasingly serious. Effectively detecting the roof and floor anomalous bodies of mines in whole space has always been the focus and challenge of research with the direct current (DC) resistivity method. Based on the finite element theory and the ANSYS finite element software, the ANSYS parametric design language (APDL) of 600 m pole–dipole array A-MN or MN-B of the mine DC resistivity method is given, and the floor model with a distance of 40 m from the abnormal body to the roadway and the roof and floor model with a distance of 40 m, 30 m, 20 m, and 10 m from the abnormal body to the roadway are established, respectively. According to the analysis of calculation error, the maximum relative average error is 2.18%, which shows the correctness of the calculation of model. The calculation results of the above model are plotted, and then the anomalous response characteristics of the roof and floor of the pole–dipole array in the whole-space are obtained by comparing the figures. According to the anomalous response characteristics of roof and floor, it is conducive to accurately interpret the measured data.

Keywords

ANSYS Pole–dipole array Whole space Geo-electric field model ANSYS parametric design language 

Notes

Acknowledgements

The authors gratefully acknowledge the editors and anonymous reviewers that substantially improved the manuscript. The work of the author was supported by the National Science Foundation (41807283, 41572244, 51804184), and Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talent (2019RCJJ024), and "Outstanding Youth Innovation Team Support Plan" of colleges and universities in Shandong Province (2019KJG007).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Resource and Civil EngineeringShandong University of Science and TechnologyTai’anChina
  2. 2.National Engineering Laboratory for Coalmine Backfilling MiningShandong University of Science and TechnologyTai’anChina
  3. 3.College of Earth Sciences and EngineeringShandong University of Science and TechnologyQingdaoChina
  4. 4.Exploration Unit of North China Geological Exploration BureauYanjiaoChina

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