An empirical predictive model for the dynamic resilient modulus based on the static resilient modulus and California bearing ratio of cement- and lime-stabilised subgrade soils

被引:17
|
作者
Ai, Xinman [1 ]
Yi, Junyan [1 ]
Zhao, Han [2 ]
Chen, Songqiang [1 ]
Luan, Hai [2 ]
Zhang, Lidong [3 ]
Feng, Decheng [1 ]
机构
[1] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin, Peoples R China
[2] Jilin Prov Transportat Planning & Design Inst, Changchun, Peoples R China
[3] Jilin Prov High Class Highway Construct Bur, Changchun, Peoples R China
基金
中国国家自然科学基金;
关键词
Cement; and lime-stabilised soil; moisture content; compaction degree; freeze-thaw cycle; California bearing ratio; resilient modulus; MOISTURE CONTENT; ASH;
D O I
10.1080/14680629.2020.1808519
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study uses two typical subgrade soil samples selected from a highway construction site in Jilin Province, China, to formulate an empirical predictive model for the dynamic resilient modulus (E-d) based on the static resilient modulus (E-s) and the California bearing ratio (CBR) of cement- and lime-stabilised subgrade soils. Laboratory experiments of the dynamic and static resilient modulus and the CBR are conducted for varying moisture contents, compaction degrees, and number of freeze-thaw cycles. The results indicate that the moisture content, compaction degree, and number of freeze-thaw cycles have similar effects on the dynamic and static resilient modulus, and the CBR of stabilised soils. The results indicate that theE(d),E-s, and the CBR are quadratically correlated with the moisture content, positively correlated with the compaction degree and negatively related to the number of freeze-thaw cycles. The proposed empirical predictive model for the dynamic resilient modulus is finally established based on the static resilient modulus and CBR. It indicates that the logarithmic model could characterise the relationship among the CBR, theE(d), andE(s)for cement- and lime-stabilised soils better.
引用
收藏
页码:2818 / 2837
页数:20
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