ISSN 1000-3665 CN 11-2202/P
    易富,姜珊,慕德慧,等. 流态地聚物固化土强度特性及其强度预测[J]. 水文地质工程地质,2023,50(1): 60-68. DOI: 10.16030/j.cnki.issn.1000-3665.202205038
    引用本文: 易富,姜珊,慕德慧,等. 流态地聚物固化土强度特性及其强度预测[J]. 水文地质工程地质,2023,50(1): 60-68. DOI: 10.16030/j.cnki.issn.1000-3665.202205038
    YI Fu, JIANG Shan, MU Dehui, et al. Strength characteristics and strength prediction of fluid geopolymer solidified soil[J]. Hydrogeology & Engineering Geology, 2023, 50(1): 60-68. DOI: 10.16030/j.cnki.issn.1000-3665.202205038
    Citation: YI Fu, JIANG Shan, MU Dehui, et al. Strength characteristics and strength prediction of fluid geopolymer solidified soil[J]. Hydrogeology & Engineering Geology, 2023, 50(1): 60-68. DOI: 10.16030/j.cnki.issn.1000-3665.202205038

    流态地聚物固化土强度特性及其强度预测

    Strength characteristics and strength prediction of fluid geopolymer solidified soil

    • 摘要: 地聚物胶凝材料能够替代水泥基胶凝材料作为固化剂应用于狭窄肥槽回填等工程问题中,有效降低水泥生产过程中的污染及能耗,但目前对于流态地聚物固化土胶凝材料的研究较少。采用3种新型绿色胶凝材料联合碱激发剂固化工程渣土形成流态地聚物固化土,通过对比其无侧限抗压强度,探究每种胶凝材料对于固化土强度特性的影响,同时建立强度预测模型,分析不同因素对于强度的影响程度。研究结果表明:固化土的强度随着碱激发剂模数的增加先提高后降低;固化土强度随着高炉矿渣(GGBS)、粉煤灰、稻壳灰掺量的增加均呈上升趋势,随着稻壳灰粒径的增长呈下降趋势;碱激发剂模数增至1.2、GGBS掺量增至10%、粉煤灰掺量增至8%和稻壳灰掺量增至11%时,固化土强度提升最为显著;强度预测模型预测结果的平均相对误差仅为5.57%,预测结果较为精准;预测模型中各层权值的计算结果表明养护龄期对于固化土强度影响最大,稻壳灰粒径影响程度最小。研究结果可以为固化土在实际工程的应用提供理论支持。

       

      Abstract: Geopolymer cementitious materials can replace cement-based cementitious materials as curing agents in engineering problems, such as backfilling of narrow fertilizer troughs, and effectively reduce pollution and energy consumption in the cement production process. There are few studies on cementitious materials. Three new green cementitious materials combined with alkali activators are used to solidify engineering slag and form fluidized geopolymer-solidified soil. The strength prediction model is established to analyze the influence of different factors on the strength. The results show that the strength of the solidified soil increases first and then decreases with the increasing modulus of the alkali activator, increases with the content of GGBS, fly ash and rice husk ash, and decreases with the increasing particle size. When the modulus of alkali activator increases to 1.2, the content of GGBS increases to 10%, the content of fly ash increases to 8%, and the content of rice husk ash increases to 11%, the strength of the solidified soil increases significantly. The average relative error of the prediction results of the strength prediction model is only 5.57%, which is relatively accurate for the solidified soil. The calculation results of the weights of each layer in the prediction model show that the curing age has the greatest impact on the strength of the solidified soil, and the particle size of rice husk ash has the minimal impact. The research results can provide theoretical support for the application of solidified soil in practical engineering.

       

    /

    返回文章
    返回