土工基础 ›› 2022, Vol. 36 ›› Issue (6): 917-920.

• 专题论述 • 上一篇    下一篇

黄土的工程性质空间变异规律研究

张国伟1,谢 潇2   

  1. (1.中煤西安设计工程有限责任公司,西安 710000;2.陕西地建土地工程技术研究院有限责任公司,西安 710075)
  • 收稿日期:2021-09-16 修回日期:2021-10-13 出版日期:2022-12-31 发布日期:2022-12-28
  • 作者简介:张国伟(1993-),男,助理工程师,研究方向为岩土工程、地质工程。

Spatial Variation Relations of Engineering Properties of Loess

ZHANG Guowei1, XIE Xiao2   

  1. (1.China Coal Xi’an Design Engineering Co. Ltd., Xi’an ,710000;
    2.Institute of Shaanxi Land Engineering and Technology Co. Ltd., Xi’an, 710075)
  • Received:2021-09-16 Revised:2021-10-13 Online:2022-12-31 Published:2022-12-28

摘要: 土的物理力学性质指标是进行地基处理设计、边坡稳定性分析及支护设计的依据。基于渭北黄土塬澄城县大量的钻探数据及室内试验资料,就黄土的压缩系数、湿陷系数、液塑限等物理力学指标与深度的关系进行分析,研究了该区黄土的工程性质在空间的变化规律及部分指标之间的相关性。主要结论如下:各物理力学指标随深度呈现出不同的变化特征,干密度随着深度的增加呈现出显著增大的趋势,而湿陷系数和压缩系数则相反,含水率、液塑限、内摩擦角、粘聚力随深度的变化规律并不明显;孔隙比与压缩系数和湿陷系数均呈正相关的关系,孔隙比和湿陷系数的相关性更高;压缩系数和湿陷系数在土的压缩性较小时其相关性较明显,而在压缩系数较大时,湿陷系数与压缩系数之间没有明显的相关性。

关键词: 黄土, 统计分析, 物理力学指标, 空间变异规律, 相关性

Abstract: Soil physical and mechanical parameters are the basis for the design of soil treatment, slope stability analysis and supporting structures, etc. Based on a large amount of drilling and laboratory test data in Chengcheng County of Weibei Loess Plateau, the relationships among the soil compression coefficient, collapsibility coefficient, Atterberg Limits and other physical and mechanical parameters and the depth of the loess are analyzed. Thus, the space variations of the engineering geology characteristics of the loess and correlation among some indicators in the area are studied. The main conclusions can be obtained as follow: the physical and mechanical parameters show different characteristics with the sample depth; the dry density increase significantly with the increase of the sample depth. The collapsibility and the compression coefficient show the opposite trend. The variation of the water content, Atterberg Limits, internal friction angle, and cohesion with the sample depth is not obvious; The void ratio is positively correlated with the compression and collapsibility coefficients. The correlation between the collapsibility coefficient and the void ratio is higher. The correlation between the compression and collapsibility coefficients is more obvious when the compression coefficient of the loess is small. There is no obvious correlation between the collapsibility coefficient and the compression coefficient when the compressibility is large.

Key words: Loess, Statistical Analysis, Physical and Mechanical Parameters, Spatial Variation Relations, Correlation

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