黄泛区非饱和砂质粉土的土-水特征曲线试验研究
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  • 英文篇名:Experimental study on the soil-water characteristic curve of unsaturated sandy silt in the yellow river flood area
  • 作者:宋达 ; 岳建伟 ; 徐安全 ; 杨光辉 ; 张家宾
  • 英文作者:Song Da;Yue Jianwei;Xu Anquan;Yang Guanghui;Zhang Jiabin;School of Civil Engineering and Architecture, Henan University;School of Mechanics and Civil Engineering, China University of Mining and Technology;
  • 关键词:黄泛区 ; 非饱和砂质粉土 ; 滤纸法 ; 土-水特征曲线 ; Van ; Genuchten模型
  • 英文关键词:Yellow River flood area;;unsaturated sandy silt;;filter paper method;;soil-water characteristic curve;;Van Genuchten model
  • 中文刊名:YYLX
  • 英文刊名:Chinese Journal of Applied Mechanics
  • 机构:河南大学土木建筑学院;中国矿业大学力学与建筑工程学院;
  • 出版日期:2018-09-20 13:09
  • 出版单位:应用力学学报
  • 年:2019
  • 期:v.36;No.155
  • 基金:河南省科技厅基础与前沿研究项目(162300410012);; 住建部砼芯水泥土砂浆桩的试验及理论分析研究(2011k345)
  • 语种:中文;
  • 页:YYLX201901023
  • 页数:7
  • CN:01
  • ISSN:61-1112/O3
  • 分类号:163-168+264
摘要
为了确定黄泛区非饱和砂质粉土的土-水特征曲线,以开封市朗润园小区的地下土为试验对象,通过滤纸法对其进行了室内试验研究,并利用Van Genuchten模型对试验测定出的土-水特征曲线进行了拟合。研究结果表明:非饱和砂质粉土的进气值约为9.5kPa,残余饱和度对应的吸力值约为73.5kPa,非饱和土的减饱和过程具有明显的阶段特征。根据拟合出的含水率和吸力之间的函数关系,可以预测黄泛区非饱和砂质粉土的土-水特征曲线。
        In order to determine the soil-water characteristic curve characteristic of unsaturated sandy silt soil in the Yellow River flood area, the filter paper method was used to carry out laboratory experiments, and the underground soil of Kaifeng City Langrun Park areas is taken as the experimental object to determine soil-water characteristic curve of unsaturated sandy silt in the Yellow River flood area. Then the soil water characteristic curve measured by the test was fitted by using the Van Genuchten model. The results show that the inlet value of unsaturated sandy silt is about 9.5 kPa, the suction value of the residual saturation is about 73.5 kPa, and the decreasing saturation process of unsaturated soil has obvious phase characteristics. In addition, according to the function relation between the water content and the suction, the soil water characteristic curve of the unsaturated sandy silty soil in the Yellow River flood area can be predicted.
引文
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