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| Grey prediction of fault active slip induced by deep continuous mining |
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Received:November 22, 2019
Revised:November 27, 2019
Accepted:December 12, 2019
Published Online:May 14, 2020
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| DOI： |
| KeyWord:deep mining; fault activation; slip; grey prediction; GM(1,1) |
| Author | Institution |
| Guo Yanhui |
College of Civil and Architectural Engineering,Yunnan Agricultural University |
| Hou Kepeng |
Faculty of Land Resource Engineering,Kunming University of Science and Technology |
| Wang Jianguo |
College of Civil and Architectural Engineering,Yunnan Agricultural University |
| Yang yang |
College of Civil and Architectural Engineering,Yunnan Agricultural University |
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| Abstract: |
| The process of fault activation and sliding induced by deep continuous mining is characterized by grey system. The GM (1,1) grey prediction model is established based on the field measurement data of fault activation slip induced by deep mining in a copper mine. By comparing the predicted and measured slip values of faults, the model has high accuracy. The grey prediction model of fault activation slip is used to predict the future four phases of fault slip. The growth rate of F2 fault slip is fast, which is consistent with the actual situation in the field. The research results are of great significance to the prediction of active slip under the influence of complex deep mining. |
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