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作 者:侯晓坤[1] 李同录[1,2] 谢萧[1] 晁建红 赵权利[1] 张常亮[1] HOU Xiaokun LI Tonglu XIE Xiao CHAO Jianhong ZHAO Quanli ZHANG Changliang(School of Geological Engineering and Surveying, Chang'an University, Xi'an 710054, China Key Laboratory for Geo-hazards in Loess Area of Ministry of Land and Resources, Xi'an Center of Geological Survey, China Geological Survey, Xi'an 710054, China)
机构地区:[1]长安大学地质工程与测绘学院,陕西西安710054 [2]中国地质调查局西安地质调查中心国土资源部黄土地质灾害重点试验室,陕西西安710054
出 处:《水利学报》2016年第10期1307-1314,共8页Journal of Hydraulic Engineering
基 金:国家重点基础研究发展计划(973计划)项目(2014CB744701);国家自然科学基金项目(41372329;41502286)
摘 要:为了探究原状黄土土-水特征曲线与土样微观结构之间的关系,对甘肃黑方台不同埋深Q_3原状黄土进行了基本物理指标的测试,张力计法测得其土-水特征曲线,并利用Fredlund&Xing模型对土-水特征曲线进行了拟合。采用光学显微镜和Photoshop合成技术获得了不同埋深土样的微观结构,统计得到孔隙累积级配曲线和分布曲线。结果表明不同埋深Q_3黄土,颗粒组成相同;其土水特征曲线,在饱和区,相同基质吸力下土样埋深(干密度)越大,体积含水率越小;而在过渡区,体积含水率则越大;在残余区,土水特征曲线几乎重合,这种差异主要是由土样的孔隙分布特征所控制。最后根据土样的分布曲线建立了黄土土水特征的本构关系,其预测值同实测值基本吻合。In order to explore the relationship between the soil water characteristic curves(SWCC) of un-disturbed loess with its microstructure,basic mechanical parameters of undisturbed Q_3 loess at the same lo-cation but different buried depth were measured firstly and then the corresponding SWCCs by the TEN ten-sionmeter. The measured SWCC was modeled by the Fredlund Xing model. Afterwards the microstruc-tures of undisturbed Q_3 loess at different buried depths were obtained by the optical microstructure and thePhotoshop Synthesis Technology. The pore size distribution characteristic was quantitatively analyzed to ob-tain the pore size cumulative distribution and pore size distribution curves. The results show that the soilparticles of the intact Q_3 loess at different buried depth are the same;for the SWCCs,in the saturatedzone,the bigger the buried depth is,the lower the volumetric water content is at the same suction value,while the relationship in the transitional zone is contrary to the saturated zone;at the residual zone,theSWCCs of intact Q_3 loess converges together. This discrepancy is mainly controlled by the different poresize distributions. Then a model based on the pore size distribution curves was established to predict theSWCC and the predicting values are close to the measured ones.
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