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沧州北部地区软土物理力学指标相关性分析研究 被引量:1

Correlation Analysis of Physical and Mechanical Indexes of Soft Soil in Northern Cangzhou City
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摘要 沧州北部地区存在一层典型的滨海相沉积类型软土,其在青县西北部、大城县东南部分布稳定而广泛,工程地质条件较差。为了更好地研究该地区软土的物理力学指标,分析各指标间的相关性,结合区域内近50个钻孔及土工试验资料,系统分析了沧州北部地区软土的工程地质性质,阐述了区内软土的分布及特性等;并利用数理统计学方法,较为客观地对区内软土物理力学指标间的相关性进行了分析与探讨,给出了各指标间的最优拟合曲线。研究结果:沧州北部地区软土多属于高液限淤泥质粘土,具有含水率高、孔隙比大、压缩性高、抗剪强度低等特点;区内软土含水率与孔隙比及含水率、孔隙比与压缩系数间存在正相关的特性,大致符合多项式回归曲线形式。 There is a typical layer of coastal sedimentary soft soil in the northern region of Cangzhou City.It is widely distributed in the northwestern Qing County and southeastern Dacheng County,but the engineering geological conditions are poor.In order to further study the physical and mechanical indicators of soft soil in this area and analyze the correlation among various indicators,this paper systematically analyzes the engineering geological properties of soft soil in the northern region of Cangzhou City combined with nearly 50 borehole and geotechnical test data,and interprets the distribution and characteristics of soft soil in this area.The correlation between physical and mechanical indicators of soft soil in the area is analyzed and discussed by mathematical statistics method,as well as the optimized fitting curve between each indicators is obtained.It is concluded that the soft soil in the northern region of Cangzhou City mainly belongs to the silty clay with high liquid limit,high water content,large pore ratio,high compressibility and low shear strength.There is a positive correlation between the water content and pore ratio,and among the water content,pore ratio and compression coefficient,which roughly conforms to the polynomial regression curve form.
作者 王国晨 边文英 WANG Guochen;BIAN Wenying(Exploration Center of Land and Resources,Hebei Bureau of Geology and Mineral Resources Exploration,Shijiazhuang 050031)
出处 《城市地质》 2019年第2期85-90,共6页 Urban Geology
基金 河北省自然资源厅《京津冀协同发展文安、任丘、大城、青县1:5万环境地质调查》(454-0503-YBN-7W27)
关键词 沧州北部地区 软土 物理力学指标 相关性分析 Northern region of Cangzhou City Soft soil Physical and mechanical indicators Correlation analysis
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