Applied Sciences (Apr 2023)

Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory

  • Daiqiang Deng,
  • Guodong Cao,
  • Yihua Liang,
  • Jinkuan Fan,
  • Runze Wang,
  • Yunfan Ma

DOI
https://doi.org/10.3390/app13095235
Journal volume & issue
Vol. 13, no. 9
p. 5235

Abstract

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For the mine of large goaf, there are many factors that affect the filling quality. In order to improve the filling quality, it is necessary to identify the factors that have a significant impact. In this paper, the fuzzy mathematical method was used to analyze the five main factors (PC32.5cement sand ratio, slurry concentration, number of slurry lowering, dehydration and drainage, and tailing particle size grading) affecting the filling quality. The priority of each influence factor was calculated, and the priority set was established. It is found that the slurry launching point and particle size grading of the tailings have an obvious effect on filling quality. After increasing the slurry launching point and optimizing the particle size grading, the strength and uniformity of the filling body are improved.

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