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| Correlation analysis of influencing factors of curtain grouting based on Grey theory-multiple regression analysis |
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Received:July 13, 2022
Revised:July 27, 2022
Accepted:July 28, 2022
Published Online:April 21, 2023
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| DOI： |
| KeyWord:Curtain grouting ; correlation analysis ; grouting parameters ; grey theory ; multiple linear regression |
| Author | Institution |
| LiRui |
昆明理工大学 |
| Hou Kepeng |
昆明理工大学 |
| Sun Huafen |
昆明理工大学 |
| Zhe Yalei |
昆明理工大学 |
| Wang Xinzhen |
昆明理工大学 |
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| Abstract: |
| With the deepening of mining in an open-pit mine in Kunming, the groundwater inflow gradually increases, which makes the mining more difficult. In order to control the mine water disaster, the local test section is selected to carry out the curtain grouting water plugging test. Based on the relevant data obtained by field geophysical prospecting, borehole imaging, acoustic test and water pressure test, the slurry consumption per meter is selected as the dependent variable, and the permeability before grouting, water cement ratio, section length, grouting pressure and drilling depth are used as independent variables. The grey correlation analysis and multiple regression analysis are carried out. The regression equation and correlation degree of the slurry consumption per meter and its related parameters in the test section are obtained. It provides reference for grouting technology and parameter control of subsequent large-scale curtain grouting in mines, and also provides reference value for parameter selection of jointed fissure curtain grouting in subsequent karst areas, and provides guarantee for safe production of mines. |
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