Analysis and Prediction of Stable Height of Capillary Water Rising under Unsaturated Subgrade Soil
Author(s) -
Jianfeng Cao,
Zhihao Mao,
Liqiang Hu,
Yunfei Dai,
Yu Luo,
Wenwei Zhou
Publication year - 2022
Publication title -
advances in civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 25
eISSN - 1687-8094
pISSN - 1687-8086
DOI - 10.1155/2022/5993984
Subject(s) - subgrade , water content , geotechnical engineering , capillary action , environmental science , moisture , groundwater , stability (learning theory) , soil science , geology , materials science , computer science , composite material , machine learning
In order to study the capillary water height of the highway subgrade and balanced moisture condition of the subgrade affected by groundwater, the standpipe method has been used in this study to track the measured data. It involves the analysis of the factors affecting the capillary water stability height of the coarse-grained soil and fine-grained soil filler as well as establishing the corresponding prediction model. The comparative analysis with the experimental tracking results and related literature shows that the prediction model developed in this study is highly accurate and can be applied for the analysis of the balanced moisture condition of the highway subgrade.
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