摘要
为得到碱激发工业废渣固化剂最优配比,以氧化镁、高炉矿渣和粉煤灰掺量为变量因素,固化淤泥7 d、28 d无侧限抗压强度为评价指标,采用响应面法进行试验设计,并建立强度预测回归模型,研究各掺料间交互作用对力学性能的影响,最后,通过优化求解出固化剂最优配比。在此基础上,通过SEM、XRD微观测试,揭示碱激发工业废渣改善淤泥力学性能的微观机理。结果表明,固化淤泥最优配合比为氧化镁∶高炉矿渣∶粉煤灰=4.109%∶13.320%∶5.723%(与干土质量比),基于最优配合比固化淤泥的7 d、28 d实际强度分别为1 518 kPa、2 473 kPa,模型预测强度为1 564 kPa、2 443 kPa,表明通过响应面法优化固化淤泥配合比准确度较高。
To determine the optimal ratio of curing agents for alkali-activated industrial waste slag,the effects of MgO,blast furnace slag,and fly ash on the mechanical properties of solidified sludge were investigated.Using the response surface methodology,the unconfined compressive strengths at 7and 28days of solidified silt samples with varying ratios were compared,leading to the development of a regression model for strength prediction,which was used to identify the optimal curing agent ratio.Additionally,SEM and XRD analyses revealed the microscopic mechanisms responsible for the improved mechanical properties of the alkali-activated sludge.The findings indicate that the optimal ratio MgO,blast furnace slag,and fly ash is 4.109%∶13.320%∶5.723%(relative to dry soil mass).Under this optimal mix ratio,the measured compressive strengths at 7and 28days were 1518kPa and 2473kPa,respectively,while the predicted strengths were 1564kPa and 2443kPa,demonstrating the high accuracy of the response surface method in optimizing the mix ratio for solidified silt.
作者
任天彬
刘俊新
曹宽宽
黄勃翔
REN Tian-bin;LIU Jun-xin;CAO Kuan-kuan;HUANG Bo-xiang(School of Civil Engineering and Architecture,Southwest University of Science and Technology,Mianyang 621010,China;China Railway Construction Group Co Ltd,Beijing 100000,China)
出处
《武汉理工大学学报》
2024年第11期15-23,共9页
Journal of Wuhan University of Technology
基金
十三五国家重点研发计划项目(2017YFC0804600)
四川省科技计划重点研发项目(2024YFFK0415)。
关键词
固化淤泥
碱激发
工业废渣
响应面法
最优配比
微观机理
solidified silt
alkali excitation
industrial waste residue
response surface method
optimal ratio
micro mechanism
