武汉理工大学学报2024,Vol.46Issue(11) :15-23.DOI:10.3963/j.issn.1671-4431.2024.11.003

碱激发工业废渣固化淤泥配合比优化研究

Alkali-activated Industrial Waste Residue Solidification Sludge Mix Optimization Study

任天彬 刘俊新 曹宽宽 黄勃翔
武汉理工大学学报2024,Vol.46Issue(11) :15-23.DOI:10.3963/j.issn.1671-4431.2024.11.003

碱激发工业废渣固化淤泥配合比优化研究

Alkali-activated Industrial Waste Residue Solidification Sludge Mix Optimization Study

任天彬 1刘俊新 1曹宽宽 2黄勃翔1
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作者信息

  • 1. 西南科技大学土木工程与建筑学院,绵阳 621010
  • 2. 中铁建设集团有限公司,北京 100000
  • 折叠

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.

Abstract

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 sur-face methodology,the unconfined compressive strengths at 7 and 28 days 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 im-proved 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 7 and 28 days were 1 518 kPa and 2 473 kPa,respectively,while the predicted strengths were 1 564 kPa and 2 443 kPa,demonstrating the high accuracy of the response surface method in optimizing the mix ratio for solidified silt.

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

Key words

solidified silt/alkali excitation/industrial waste residue/response surface method/optimal ratio/micro mechanism

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出版年

2024
武汉理工大学学报
武汉理工大学

武汉理工大学学报

影响因子:0.649
ISSN:1671-4431
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