Orthogonal experimental study on the compressibility characteristics of bank sandy silt based on freeze-thaw effects

被引:1
作者
Yang, Zhen [1 ]
Mou, Xianyou [1 ]
Ji, Honglan [1 ]
Mao, Yuxin [1 ]
Song, Hongze [1 ]
机构
[1] Inner Mongolia Agr Univ, Coll Water Resources & Civil Engn, Hohhot 010018, Peoples R China
基金
中国国家自然科学基金;
关键词
Freeze-thaw cycle; Sandy silt; Orthogonal test; Compressibility index; Predictive modelling; PREDICTION; STRENGTH; MODULUS;
D O I
10.1016/j.heliyon.2024.e31545
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
The compressibility of bank soils is a critical consideration in t riverbank protection project, construction. In the Inner Mongolia section of the Yellow River, a seasonal frozen soil region, the impact of F-T cycles on soil compressibility cannot be overlooked. This study, based on F-T cycle tests, conducted orthogonal consolidation tests on embankment sandy silt from the Inner Mongolia section of the Yellow River, considering varying initial w and rho(d). It investigated the effects of different initial w, rho(d), and F-T cycles on soil compressibility, ranked and assessed the significance of influencing factors, and established a predictive model for the compressibility of Inner Mongolia section Yellow River embankment sandy silt. The results show that: the embankment sandy silt is medium-high compression soil, with a between 0.1 and 0.74 MPa-1, E-s between 2.65 and 18.47 MPa, and C-c between 0.04 and 0.24 MPa. The greater the rho(d) of soil, the smaller the initial w, the smaller the a and C-c, and the greater the E-s of soil. The F-T effect affects soil compressibility, and soil a, E-s and C-c are linearly related to the number of F-T cycles. The ranking of factors influencing soil compressibility is rho(d) > w > F-T cycles. The initial rho(d) and w are decisive factors affecting soil compressibility, while the impact of F-T cycles is relatively minor. Additionally, a regression predictive model based on the initial rho(d) and w of the soil demonstrates good performance in predicting soil compression indices. This model can be utilized for predicting the compressibility indices of embankment soil in the Inner Mongolia section of the Yellow River.
引用
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页数:13
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