Research on correlation between dynamic resilient modulus and CBR of coarse-grained chlorine saline soil

被引:0
|
作者
Deng, Miaoyi [1 ]
Wang, Jinshan [2 ]
Wang, Xiangyang [3 ]
Xie, Xiangbing [1 ]
Wang, Kaiwei [1 ]
He, Yahui [1 ]
机构
[1] Zhengzhou Univ Aeronaut, Sch Civil Engn & Environm, Zhengzhou 450046, Peoples R China
[2] Qingdao Univ Technol, Sch Civil Engn, Qingdao 266520, Peoples R China
[3] Guangdong Jiaoke Testing Co Ltd, Rd & Bridge Inst, Guangzhou 510550, Peoples R China
关键词
California bearing ratio (CBR); Coarse-grained chlorine saline soil; Dynamic resilient modulus; Evolution law; Prediction model; SUBGRADE;
D O I
10.1038/s41598-024-54538-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A large area of coarse-grained saline soil is distributed in saline soil areas, and chlorine saline soil with a high salt content is a typical representative. The dynamic resilient modulus was accurately predicted using the California-bearing ratio (CBR) value to determine the relationship between the dynamic resilient modulus of coarse-grained chloride saline soil and its CBR value. Indoor dynamic triaxial tests and CBR tests were conducted to investigate the evolution of the dynamic resilient modulus (M-R) and CBR of coarse-grained chlorine saline soil under the influence of the stress level, water content, and salt content. The test results showed that the dynamic resilient modulus increased with an increase in the confining pressure and bulk stress and decreased as the deviator stress increased; however, the CBR increased with an increase in the corresponding unit pressure. The higher the salt and water contents, the more obvious the influence of stress on the dynamic resilient modulus and CBR value. Under the same stress level, the decrease in the dynamic resilient modulus and CBR gradually increased with increasing salt and moisture content, and the effect of salt tended to be more significant than that of water. Based on the correlation between the dynamic resilient modulus and CBR revealed by the experiment, a more widely applicable model was selected from the existing theoretical models related to CBR for the regression analysis of the test data, and a prediction model of the dynamic resilient modulus based on the CBR value was proposed (M-R = 21.06CBR(0.52)). This prediction model had a high correlation coefficient (R-2 = 0.893) and could effectively predict the dynamic resilient modulus of coarse-grained chlorine saline soil using CBR values. The results provide a simple and reliable method for determining the design parameters of a coarse-grained saline soil subgrade.
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页数:15
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