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作者投稿 专家审稿 编辑办公 编委办公 主编办公

冰川冻土 ›› 2016, Vol. 38 ›› Issue (4): 955-962.doi: 10.7522/j.issn.1000-0240.2016.0109

• 岩土试验与测试技术 • 上一篇    下一篇


陶高梁1 2, 柏亮1, 庄心善1, 张然1   

  1. 1. 湖北工业大学 土木建筑与环境学院, 湖北 武汉 430068;
    2. 中国科学院 武汉岩土力学研究所 岩土力学与工程国家重点实验室, 湖北 武汉 430071
  • 收稿日期:2016-02-03 修回日期:2016-07-29 出版日期:2016-08-25 发布日期:2016-09-19
  • 作者简介:陶高梁(1979-),男,湖北黄冈人,副教授,2010年在武汉理工大学获博士学位,现从事土体孔隙结构及非饱和土的研究.E-mail:tgl1979@126.com
  • 基金资助:

Experimental study on meso pore based on soil slice technique and its distribution describing

TAO Gaoliang1 2, BAI Liang1, ZHUANG Xinshan1, ZHANG Ran1   

  1. 1. School of Civil, Architectural & Environmental Engineering, Hubei University of Technology, Wuhan 430068, China;
    2. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
  • Received:2016-02-03 Revised:2016-07-29 Online:2016-08-25 Published:2016-09-19

摘要: 岩土多孔材料孔隙分布特性强烈影响其宏观物理力学特性,细观孔隙研究具有极其重要的意义.采用固化剂及蓝色有机染料对生态护坡材料进行固化和染色,基于土壤切片技术获取样本的典型剖面,利用高分辨率相机采集剖面彩色图像,借助IPP技术获取细观孔隙分布数据.结果表明:细观孔隙度随孔径分布较为均匀,不同样本的细观孔隙数量分布较为近似,数量分布曲线越光滑,材料结构越稳定.为合理描述细观孔隙分布规律,提出了一种改进的隙率模型,较已有孔隙率模型,改进模型在二维空间内具有更广的适用范围及更小的预测误差.

关键词: 岩土多孔材料, 生态护坡材料, 孔隙率模型, 孔径分布

Abstract: The physical and mechanical properties of rock and soil porous materials are strongly influenced by their pore distribution characteristics, therefore study on meso pores has extremely important significance. The mixture of curing agent and blue organic dyestuff was used to solidify the eco-material samples, afterward,the typical sections of samples were obtained based on soil slicing technique. By using high resolution camera, the color digital images of sections were gathered, subsequently,the meso pore size distribution data was obtained with IPP technology. The results show that the porosity of aperture interval gives uniform distribution, the pore number distribution of different samples appears approximatively the same curve, which is smoother, the material structure is more stable. In order to describe reasonably the meso pore size distribution, an improved porosity model for describing pore size distribution was put forward, which has wider application range and smaller prediction error in the two-dimensional space compared with the existing porosity model.

Key words: rock and soil porous materials, eco-material, porosity model, pore size distribution


  • TU443