基于回归分析的碳化钢渣砌块工艺参数优化设计
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长沙理工大学

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国家自然科学基金项目(面上项目,重点项目,重大项目);长沙理工大学研究生科研创新项目


Optimization design of process parameters for carbonated steel slag block based on regression analysis
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan);Changsha University of Science and Technology Graduate Student Research Innovation Program

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    摘要:

    通过低成本的密封碳化养护方法,利用纯钢渣为胶凝材料成功制备了碳化钢渣砌块。为进一步提高砌块的性能,研究采用基于回归分析的方法对砌块的制备工艺参数进行了优化,并探究了水固比与成型压力对砌块抗压强度与二氧化碳(carbon dioxide,CO2)吸收率的影响规律。研究结果表明:当水固比为0.13,成型压力为15MPa时,砌块抗压强度最高,达到了82.70MPa;在不同成型压力水平下,存在最佳水固比使得砌块具有最高的抗压强度或CO2吸收率,在不同水固比水平下,随着成型压力的增加,砌块抗压强度提高而CO2吸收率降低,水固比与成型压力间存在重要的交互效应,这种交互效应对砌块抗压强度与CO2吸收率有着负向的影响;根据回归模型进行预测,当水固比为0.13,成型压力为15MPa时砌块抗压强度预测值最高,当水固比为0.14,成型压力为5MPa时砌块CO2吸收率预测值最高。两种最优参数组合下,砌块抗压强度与CO2吸收率的实测值与预测值相对误差均在合理范围内,表明构建的回归模型能有效优化砌块的制备工艺参数,并具有良好的预测能力。

    Abstract:

    Carbonated steel slag blocks were successfully prepared from pure steel slag, serving as the cementitious material, employing a low-cost sealed carbonation curing method. To further improve the performance of blocks, the preparation process parameters of blocks were optimized based on regression analysis and the impacts of water-solid ratio and forming pressure on the compressive strength and CO2 uptake rate of blocks were examined. The results of the study showed that the maximum strength of blocks could reach 82.70 MPa when the water-solid ratio was 0.13 and the forming pressure was 15 MPa. An optimum water-solid ratio exists at different levels of forming pressure, resulting in blocks with the highest compressive strength or CO2 uptake rate. Moreover, as forming pressure increases at different levels of the water-solid ratio, the compressive strength of the blocks increases while the CO2 uptake rate decreases. It is crucial to note that an important interaction effect exists between the water-solid ratio and forming pressure, which negatively impacts the compressive strength and CO2 uptake rate of the blocks. According to the regression model, the highest predicted compressive strength of the blocks was found when the water-solid ratio was 0.13 and the forming pressure was 15 MPa, and the highest predicted CO2 uptake rate of the blocks was found when the water-solid ratio was 0.14 and the forming pressure was 5 MPa. The relative errors between the measured and predicted values of compressive strength and CO2 uptake rate of the blocks under the two optimal parameter combinations are within a reasonable range, and the constructed regression model can effectively optimize the parameters of the block preparation process with good predictive ability.

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  • 收稿日期:2024-05-01
  • 最后修改日期:2024-06-13
  • 录用日期:2024-06-13
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