A Modified approach to subsidence modeling in block caving mining
DOI:
https://doi.org/10.5564/jase-a.v6i1.4087Keywords:
block caving, surface subsidence, simulation resultAbstract
Block caving is an efficient underground mining method for extracting large, low-grade ore bodies. However, it frequently causes severe ground surface subsidence, posing safety and environmental risks. This paper presents a hybrid modeling approach that enhances traditional subsidence prediction by integrating the Probability Integration Method with the Time Function (Knothe) Model. The proposed framework introduces spatially and temporally dynamic influence functions that account for geological heterogeneity and time-dependent deformation. Numerical simulations demonstrate the improved predictive capability of the hybrid model. This work offers practical implications for long-term mine planning, infrastructure protection, and sustainable mining operations.
Downloads
17
References
1. Brown, E.T.: Block Caving Geomechanics. JKMRC, Brisbane (1997-2000)
2. Laubscher, D.H.: A practical manual on block caving. International Caving Study (2000)
3. Hustrulid, W., Caceres, C., Kvapil, R.: Cave mining-state of the art. In: Proceedings, Santiago, Chile, pp. 491-499 (2004)
4. Whittaker, B.N., Reddish, D.J.: Subsidence: Occurrence, Prediction and Control. Developments in Geotechnical Engineering, vol. 56. Elsevier, Amsterdam (1989)
5. Singh, R.P., Yadav, R.N.: Subsidence due to coal mining in India. In: Proceedings of the Fifth International Symposium on Land Subsidence, no. 234. Dordrecht (1995)
6. Hudson, J.A., Pine, J.: Engineering Rock Mechanics: An Introduction to the Principles. Elsevier (1993)
7. Kratzsch, H.: Mining Subsidence Engineering. Springer, 1st edn. (1983) https://doi.org/10.1007/978-3-642-81923-0_1
8. Liu, J.B., Dai, H.-Y., Wang, X., Aitkazinova, Sh.: Three-dimensional geological modeling of mining subsidence prediction based on the blocks. Adv. Mater. Res. 905, 697-701 (2014). https://doi.org/10.4028/www.scientific.net/AMR.905.697
9. Tu, Sh., Li, W., et al.: Model test and discrete element method simulation of tunnel face stability in sand-gravel inclined layered stratum. Comput. Geotech. 172 (2024). https://doi.org/10.1016/j.compgeo.2024.106456
10. Alexander, V.: Numerical modelling of surface subsidence associated with block cave mining using a FEM/DEM approach (2008). https://doi.org/10.13140/RG.2.1.4069.3843
11. Zhang, X., Yan, S., Tan, H., et al.: A time function-based prediction model of mining subsidence: Application to the Barapukuria coal mine. Sci. Rep. 12, 18433 (2022). https://doi.org/10.1038/s41598-022-23303-9
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Baasansuren Sanjaasuren, Ariungerel Jargal, Bazarragchaa Barsbold, Tsatsral Galbat

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on any research article in the Journal of Applied Science and Engineering A is retained by the author(s).
The authors grant the Journal of Applied Science and Engineering A a license to publish the article and identify itself as the original publisher.

Articles in the Journal of Applied Science and Engineering A are Open Access articles published under a Creative Commons Attribution 4.0 International License CC BY.
This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.