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| Optimization of Nickel Slag Full Tailings Filling Mix Ratio Based on RSM-BBD |
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Received:October 04, 2023
Revised:November 15, 2023
Accepted:December 12, 2023
Published Online:August 05, 2025
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| DOI： |
| KeyWord:nickel;slag, full;tailings,solid;waste utilization,response;surface method, ratio;optimization. |
| Author | Institution |
| zhang tao |
State Key Laboratory for the Development and Comprehensive Utilization of Nickel, Cobalt and Associated Resources |
| li de xain |
State Key Laboratory for the Development and Comprehensive Utilization of Nickel, Cobalt and Associated Resources |
| zhang peng qiang |
State Key Laboratory for the Development and Comprehensive Utilization of Nickel, Cobalt and Associated Resources |
| zhao guo liang |
State Key Laboratory for the Development and Comprehensive Utilization of Nickel, Cobalt and Associated Resources |
| he yu |
State Key Laboratory for the Development and Comprehensive Utilization of Nickel, Cobalt and Associated Resources |
| niu meng |
Jinchuan Group Co., LTD |
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| Abstract: |
| In order to solve the problem of nickel slag and tailings storage in mines and achieve solid waste filling and utilization, the theory of aggregate stacking density was applied to determine the optimization range of nickel slag tailings ratio at 4:6, 5:5, and 6:4; The response surface methodology (RSM) was used to design and analyze the mix ratio experiment. The results showed that the significant impact of a single factor on the 28d compressive strength was ranked in the order of cement dosage, nickel slag proportion, and mass concentration; The interaction between the proportion of nickel slag and the amount of cement has a significant impact on the strength. The optimal mix ratio of nickel slag full tailings filling slurry obtained through experimental optimization is 50% nickel slag content, 77% mass concentration, and 305kg/m cement content 3， The average strength of the 28d filling body is 5.95Mpa, with a relative error of 0.76% compared to the predicted value of 6Mpa, confirming the scientific nature of the optimization and decision-making of the nickel slag full tailings mixed aggregate ratio using the response surface method. |
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