Modeling and Application of MATLAB in Mining Subsidence Prediction

DOI: https://doi.org/10.62517/jsse.202608304

Author(s)

Bo Song*, Yuejiao Han, Kai Du, Zhenxing Pei, Ying Guo, Xinbao Zhang

Affiliation(s)

Heilongjiang University of Technology, Jixi, Heilongjiang, China * Corresponding Author

Abstract

Accurate prediction of mining subsidence helps lessen ground‑settlement‑related harm inflicted upon local economic interests and residents’ living conditions. Because the traditional prediction work involves cumbersome formulas and a heavy computing workload, a surface subsidence prediction program constructed using the probabilityintegral algorithm is realized under the MATLAB platform in this paper. In the program, computational models for ground subsidence, tilt, curvature parameters, horizontal displacement and horizontal strain corresponding to arbitrary ground positions are analyzed and coded as separate functional modules, which are then integrated into one prediction procedure. The program was tested on the 7513 working face of a coal mine. The predicted maximum subsidence is 4809 mm, and the predicted basin follows the general law of mining-induced surface movement. Three-dimensional effect diagrams, main section profiles, and contour maps can be generated, and the results can be exported in TXT format for post-processing with Surfer or CAD. This work makes subsidence prediction easier to carry out, shortens the data processing time, and provides a reliable reference for protecting surface buildings and designing mining schemes.

Keywords

Mining Subsidence; Probability Integral Method; MATLAB

References

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