基于胶空比的水泥基材料固化土强度预测模型OA
Strength prediction model of cement-based material stabilized soil based on gel/space ratio
水泥掺量与土壤特性对水泥基材料固化土(CSS)强度的影响已得到充分研究,但水化产物的孔隙填充效应与强度发展之间的内在机制尚未明晰.本研究提出采用胶空比(GSR)作为量化水泥基材料水化产物对CSS孔隙填充效应的新参数,并建立了基于GSR的强度预测模型.通过热重分析与比重测定,量化了初始孔隙率、水泥基材料掺量、水化程度和体积膨胀率对GSR的影响,并对不同养护龄期、初始孔隙率与水泥基材料掺量的CSS试样开展了无侧限抗压强度(UCS)测试,验证了预测模型的有效性.结果表明:GSR与水泥基材料掺量、水化程度、体积膨胀率正线性相关,与初始孔隙率负线性相关;GSR与UCS呈指数关系.基于GSR的单参数强度预测模型最大误差为14.44%,平均误差为5.41%,表明GSR可以作为评价CSS强度的关键指标,在CSS强度设计中具有良好的应用潜力.
The influence of cement content and soil properties on the strength of cement-stabilized soil(CSS)has been widely studied.However,the underlying mechanism between the pore-filling effect of hydration products and strength development remains insufficiently investigated.This study introduced the gel/space ra-tio(GSR)as a novel parameter to quantify the efficacy of hydration products in filling the pores of CSS and developed a strength prediction model based on GSR.The effects of initial porosity,cement-based material dosage,hydration degree,and volume expansibility on GSR were quantified through thermogravimetric analy-sis and specific gravity measurements.Meanwhile,unconfined compressive strength(UCS)tests were per-formed on CSS specimens with different curing ages,initial porosities,and cement-based material dosages,thereby validating the effectiveness of the prediction model.The results show that GSR exhibits a positive lin-ear correlation with cement-based material dosage,hydration degree,and volume expansibility,and a nega-tive linear correlation with initial porosity.An exponential relationship was identified between GSR and UCS.The proposed single-parameter strength prediction model based on GSR shows a maximum error of 14.44%and an average error of 5.41%,demonstrating that GSR can serve as a key indicator for evaluating CSS strength and has good potential for application in CSS strength design.
薛传荣;丁建文;焦宁;张赛;杨铮涛
东南大学交通学院,南京 211189东南大学交通学院,南京 211189东南大学交通学院,南京 211189东南大学交通学院,南京 211189东南大学交通学院,南京 211189
建筑与水利
水泥基材料孔隙充填水化程度胶空比强度预测
cement-based materialpore fillinghydration degreegel/space ratiostrength prediction
《东南大学学报(自然科学版)》 2026 (10)
1447-1454,8
国家自然科学基金资助项目(52378330).
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