Study on measuring soil water characteristic curve by desktop centrifuge test method

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Mar.2026, Vol.49 No.3: 347-351

DOI: 10.3969/j.issn.1003-5060.2026.03.010

Authors

SUN Yuting ¹, TAN Xiaohui ¹, HU Muzi ², XIAO Ying ¹

(1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China; 2. Hefei Xinzhan High-tech Industrial Development Zone Management Committee, Hefei 230013, China)

Abstract and Keywords

Abstract: In this paper, the desktop centrifuge test method was conducted on unsaturated clay samples in Hefei City to obtain the relationship between matric suction and water content of soil samples. Based on the van Genuchten model, curve fitting was performed on the test results to obtain the soil water characteristic curve (SWCC) by using the lsqcurvefit function in MATLAB, and the probability statistical characteristics of fitting parameters of SWCC of fifteen unsaturated clay samples were obtained by using the centrifuge test method. Results show that the desktop centrifuge test method is reasonable and feasible, and the method can quickly measure the SWCC of clays during dewetting and effectively shorten the test time required for obtaining a SWCC for clays. The SWCC of dewetting process obtained by the centrifuge method has good correspondence with the SWCC of moisture absorption process obtained by the osmotic method.

Keywords: soil water characteristic curve(SWCC); desktop centrifuge test method; van Genuchten model; curve fitting; unsaturated soil

作者信息

孙雨婷 ¹，谭晓慧 ¹，胡木子 ²，肖颖 ¹

(1. 合肥工业大学资源与环境工程学院, 安徽合肥 230009; 2. 合肥新站高新技术产业开发区管委会, 安徽合肥 230013)

摘要和关键词

摘要: 文章采用台式离心机试验法对合肥市非饱和黏性土进行离心试验，获得土样的吸力与含水率的关系；以van Genuchten模型为基础，采用MATLAB中的lsqcurvefit函数对试验结果进行曲线拟合，获取黏性土样的土水特征曲线（soil water characteristic curve，SWCC）；通过15组离心试验得到试验土体SWCC拟合参数的概率统计特征。研究结果表明：台式离心机试验法是合理可行的，采用该方法可以快速地测量黏性土体在脱湿过程的SWCC，有效地缩短当前常用土水特征试验所需的试验时间；离心机试验得到的脱湿过程SWCC与渗析法试验得到的吸湿过程SWCC具有良好的对应关系。

关键词: 土水特征曲线（SWCC）；台式离心机试验法；van Genuchten 模型；曲线拟合；非饱和土

Funding

国家自然科学基金资助项目（41972278）

合肥工业大学学报(自然科学版)

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