土工基础

›› 2012, Vol. 26 ›› Issue (3): 43-46.

• 工程实录 • 上一篇    下一篇

浙江漩门湾软粘土物理力学特性的统计分析

徐炎兵1，李永和2，陈 盼3，王吉利3   

  1. (1.中国电力工程顾问集团中南电力设计院 勘测分公司，武汉 430071；2.浙江省水利河口研究院，杭州 310020；3.岩土力学与工程国家重点实验室 中国科学院武汉岩土力学研究所，武汉 430071)
  • 收稿日期:2012-04-21 出版日期:2012-06-20 发布日期:2012-06-25
  • 作者简介:徐炎兵（1982-），男，工程师，工学博士，研究方向为岩土工程勘测、设计以及科研。
  • 基金资助:

    基金项目：浙江省重大科技专项（2009C13010）

Statistical Analysis of the Relationships between Mechanical and  Indices Properties of Xuanmen Bay Soft Clays

XU Yanbing1, LI Yonghe2, CHEN Pan3, WANG Jili3   

  1. （1.CPECG Central Southern China Electric Power Design Institute, Wuhan  430071；2.Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020；3.State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071）
  • Received:2012-04-21 Online:2012-06-20 Published:2012-06-25

摘要： 通过现场原位取样与室内试验，对浙江漩门三期海堤地基软粘土的物理力学性质及其相关性进行了研究，并给出了各重要指标间相关性的经验公式。通过统计分析表明，各土层物理力学指标空间变异性较小，各指标沿深度的变化与土体的结构性相关。通过线性相关性分析表明，灵敏度与孔隙比的相关性较差，需要进一步的分析；而压缩系数与含水率和孔隙比之间的相关性较好，故可根据软粘土的物性指标进行土体压缩系数的预测，对工程设计初期具有一定的指导意义。

关键词: 结构性, 粘土, 物理力学指标, 统计分析, 相关性

Abstract: The comprehensive statistic studies on the relationships between the mechanical and the various indices properties have been performed on undisturbed soft clay samples from the third phase construction of Xuanmen Bay sea dikes in Zhejiang. The results indicate the some good relationships do exist between the mechanical properties and the physical indices. The both mechanical and physical properties change with the deposition depth and the soil fabrics. The linear regression analysis results show that good correlations between the compression coefficient and the void ratio as well as the natural moisture content, whereas, the soil sensitivity does not have a good relationship with the void ratio. It is concluded that, at the preliminary design stage, it is possible to use the physical indices to estimate the soil compression coefficient.

Key words: Soil fabrics, Clay, Physical and mechanical indices, Statistic analyses, Correlations