Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning
Pillar strength is significantly affected by inclination, making accurate prediction of inclined pillar strength crucial for the safety of underground quarries in inclined ore bodies. To address this, a pillar strength prediction model is established by integrating parametric modelling's flexib...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of China Coal Society
2025-03-01
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| Series: | Meitan xuebao |
| Subjects: | |
| Online Access: | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2024.0878 |
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