Prediction of loess soil-water characteristic curve by mercury intrusion porosimetry

doi:10.1007/s11629-019-5929-2

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.9

	Prediction of loess soil-water characteristic curve by mercury intrusion porosimetry
	Li, Hua; Li, Tong-lu; Li, Ping; Zhang, Ya-guo
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:9 页码:2203-2213
关键词	Soil-water characteristic curve Mercury intrusion porosimetry Contact angle Loess
ISSN号	1672-6316
DOI	10.1007/s11629-019-5929-2
文献子类	Article
英文摘要	Mercury intrusion porosimetry (MIP) is a simple and fast way to obtain the pore distribution of soil and can be used to estimate the soil-water characteristic curve (SWCC). In previous studies, soil was assumed to be a perfect wettability material, and the contact angle (CA) of the soil-water interface was taken as zero in the SWCC prediction method. However, the CA has proved to be much greater than zero even for hydrophilic soils according to some soil wettability experiments, and it has a significant effect on predicting the SWCC. In this research, a method for predicting the SWCC by MIP, which takes the CA as a fitting coefficient, is proposed. The pore size distribution curves are measured by MIP, and the SWCCs of two loess soils are measured by pressure plate and filter paper tests. When the CA is taken as 70 degrees and 50 degrees for the wetting and drying process, respectively, the SWCCs predicted by the pore size distribution curves agree well with the measured SWCCs. The predicted suction range of the proposed method is 0-10(5)kPa. The consistency of the results suggests that utilizing the MIP test to predict the SWCC with a proper CA is effective for loess.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000558778200001
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/50490]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.9
推荐引用方式 GB/T 7714	Li, Hua,Li, Tong-lu,Li, Ping,et al. Prediction of loess soil-water characteristic curve by mercury intrusion porosimetry[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(9):2203-2213.
APA	Li, Hua,Li, Tong-lu,Li, Ping,&Zhang, Ya-guo.(2020).Prediction of loess soil-water characteristic curve by mercury intrusion porosimetry.JOURNAL OF MOUNTAIN SCIENCE,17(9),2203-2213.
MLA	Li, Hua,et al."Prediction of loess soil-water characteristic curve by mercury intrusion porosimetry".JOURNAL OF MOUNTAIN SCIENCE 17.9(2020):2203-2213.