节点文献
基于多元非线性回归优化制备碱钢渣胶凝材料
Optimized Preparation of Alkaline Steel Slag Cement Materials Based on Multivariate Nonlinear Regression
【摘要】 以钢渣作为研究对象,采用水玻璃、氢氧化钠与氢氧化钙三元复合活化剂,制备碱钢渣胶凝材料。基于均匀设计和多元非线性回归法研究了各因素对碱钢渣胶凝材料力学性能的影响。结果表明,各因素对性能影响的主次顺序为:3 d时钢渣用量>氢氧化钠用量>水玻璃用量>氢氧化钙用量,7 d时钢渣用量>水玻璃用量>氢氧化钠用量>氢氧化钙用量,28 d时钢渣用量>水玻璃用量>氢氧化钙用量>氢氧化钠用量;28 d碱钢渣胶凝材料的优化制备方案为:钢渣用量为225 g,水玻璃用量为22.5 g,氢氧化钠用量为9.0 g,氢氧化钙用量为13.2 g;优化制备模型选择正确,其相对误差仅为2.19%。
【Abstract】 Alkaline steel slag cement materials were prepared with steel slag as the research object, sodium silicate, sodium hydroxide and calcium hydroxide as the ternary compound activator. The effect of every factor on mechanical property of alkaline steel slag cement materials was studied by orthogonal design and multivariate nonlinear regression. The results show that primary and secondary sequence of factors is steel slag dosage>sodium hydroxide dosage>sodium silicate dosage>calcium hydroxide dosage in 3 d, steel slag dosage>sodium silicate dosage>sodium hydroxide dosage>calcium hydroxide dosage in 7 d, steel slag dosage>sodium silicate dosage>calcium hydroxide dosage>sodium hydroxide dosage in 28 d. The optimization program of alkaline steel slag cement materials in 28 d is steel slag dosage 225 g, sodium silicate dosage 22.5 g, sodium hydroxide dosage 9.0 g and calcium hydroxide dosage 13.2 g. Optimized preparation model is correct, its relative error is only 2.19%.
【Key words】 steel slag; orthogonal design; multivariate nonlinear regression; alkali excitation; cement materials;
- 【文献出处】 非金属矿 ,Non-Metallic Mines , 编辑部邮箱 ,2016年04期
- 【分类号】X757;TQ177
- 【下载频次】184