广西科技大学学报2026，Vol.37Issue(3)：47-56,10.DOI:10.16375/j.cnki.cn45-1395/t.2026.03.006
不锈钢渣水泥基材料抗碳化性能试验及预测模型分析
Tests and predictive model analysis of carbonation resistance of stainless steel slag cement-based materials
摘要
Abstract
Stainless steel slag admixture was prepared by using stainless steel slag and granulated blast furnace slag,and the carbonation resistance test of stainless steel slag cement-based materials were carried out.The composition and microstructure of stainless steel slag cement-based materials were observed by X-ray diffraction(XRD),scanning electron microscopy(SEM)and pore structure analysis.Combined with mechanical properties,the effect of stainless steel slag admixture on its carbonation performance was studied,and a nonlinear regression prediction model of carbonation depth was established.The test results show that as stainless steel slag admixture content increases,the carbonization depth of cement-based materials increases.Among them,the carbonation depth of the T5 group(The content of stainless steel slag admixture is 70%)reached 21.5 mm at 56 days,which was 3.4 times that of the blank group.Microscopic structure analysis shows that as the amount of stainless steel slag admixture increases,the matrix pores increase.Based on the comprehensive mechanical and carbonation properties and combined with microstructure analysis,the content of stainless steel slag admixture controlled within 50%is appropriate.The carbonation depth prediction model achieved a root mean square error(RMSE)of 0.975 56 mm,a mean absolute error(MAE)of 0.730 68 mm,and an R2 value of 0.911 42,indicating strong agreement between the predicted and measured values and demonstrating the model's high reliability.关键词
不锈钢渣掺合料/不锈钢渣水泥基材料/碳化性能/微观结构/非线性回归预测模型Key words
stainless steel slag admixture/cement-based materials/carbonation depth/microstructure analysis/carbonization depth prediction model分类
建筑与水利引用本文复制引用
董健苗,马东楊,顾业明,邹明璇,梁康,何其,韩金..不锈钢渣水泥基材料抗碳化性能试验及预测模型分析[J].广西科技大学学报,2026,37(3):47-56,10.基金项目
国家自然科学基金项目(51568009) （51568009）
广西高校防灾减灾与预应力技术重点实验室开放基金项目(GXKDTJ005)资助 （GXKDTJ005）
