Abstrakt
This paper presents a hybrid methodology for predicting rock mass deformation and roadway loads induced by longwall mining. The approach combines the classical Budryk–Knothe influence function model with numerical simulations in the FLAC3D finite difference environment. Instead of explicitly reproducing large-scale excavation and caving, the impact of mining is introduced through analytically derived displacement boundary conditions applied to the numerical model. This allows detailed analyses of the rock mass deformation state while significantly reducing computational effort compared with conventional geomechanical models. The methodology involves deriving displacement components from the Budryk–Knothe influence function, implementing them through Python 3.6.1 scripts in FLAC3D 7.00, and performing stepwise simulations of longwall advance. Results show that the proposed approach reduces the number of finite difference zones by nearly an order of magnitude, achieving more than a tenfold decrease in computation time. At the same time, the displacement and stress distributions obtained remain consistent with both the analytical Budryk–Knothe solution and those from the classical numerical model. The study demonstrates that this methodology provides a reliable and efficient tool for assessing stress redistribution and deformation around roadway excavations influenced by mining. Its application enhances the accuracy of deformation predictions, supports support system design, and improves safety and efficiency in underground mining operations.
| Język oryginału | angielski |
|---|---|
| Numer artykułu | 11804 |
| Czasopismo | Applied Sciences (Switzerland) |
| Tom | 15 |
| Numer wydania | 21 |
| Identyfikatory DOI | |
| Status publikacji | Opublikowano - lis 2025 |
Obszary tematyczne ASJC Scopus
- Materiałoznawstwo ogólne
- Instrumentacja
- Inżynieria ogólna
- Chemia i technologia procesów
- Zastosowania informatyki
- Procesy przepływu i przenoszenia płynów
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