Soil-Water Characteristics of Unsaturated Residual Soil and Estimation of Matric Suction

DING Shao-lin, ZUO Chang-qun, LIU Dai-guo, LI Lin-sen, CHEN Jian-ping

Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (3) : 98-103.

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Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (3) : 98-103. DOI: 10.11988/ckyyb.20140932
ROCK-SOIL ENGINEERING

Soil-Water Characteristics of Unsaturated Residual Soil and Estimation of Matric Suction

  • DING Shao-lin, ZUO Chang-qun, LIU Dai-guo, LI Lin-sen, CHEN Jian-ping
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Abstract

Residual soil which widely distributes in south China is one of the major soils encountered in engineering construction and geological disasters evaluation. The engineering properties of residual soil are dependent on the composition, structure, and stress of soil, and also on the matric suction. Soil-water characteristic curve expressing the relationship between soil water content and matric suction is an important part of research on non-saturated soil. In this research we select granite porphyry residual soil, tuff residual soil and conglomerate residual soil, which are typically representative in Fujian province, as test sample soils to determine the soil-water characteristic curve in the process of Dehumidification and moisture absorption. Then we explain lag effects of soil water characteristic curve from the microscopic point of view. Based on Barden’s unsaturated soil classification, we put forward a simple method to predict the matric suction with saturation by analyzing the practical engineering significant moisture (saturation between 50%-90%) in view of the difficulties in measuring matric suction.

Key words

residual soil / soil-water characteristic curve / Barden’s unsaturated soil classification / matric suction / saturation

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DING Shao-lin, ZUO Chang-qun, LIU Dai-guo, LI Lin-sen, CHEN Jian-ping. Soil-Water Characteristics of Unsaturated Residual Soil and Estimation of Matric Suction[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(3): 98-103 https://doi.org/10.11988/ckyyb.20140932

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