Image Analysis of Sand Void Fabric Based on Stereology Principle
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    Abstract:

    Based on the theoretical framework of quantitative description for void fabric with the principle of stereology, the void fabric tensor redefined with normalized idea, and a novel description method of void fabric for sand was proposed. The porosity amplitude parameter defined by the second invariant of the plane tensor to describe the degree of anisotropy and the direction parameter defined by its component to describe its direction, the plane distribution of void fabric were described by these two scalars. The program with different image processing techniques that eliminate the confounding factors of analysis on scanning electron microscope(SEM) image of sand samples was developed to obtain a clear binary image with optimization methods. The SEM image analysis of sand sample showed that parallel test lines with different angles could measure the average porosity but could not measure the porosity distribution, while the circular test line could measure the plane distribution of void fabric. The new method with two scalar described the pore distribution on the plane, with the changed of pore geometry relationship, which degraded to the existing description format naturally. Image analysis validated the rationality of the new method.

    Reference
    [1]Li X S, Dafalias Y F. Anisotropic critical state theory: role of fabric[J]. Journal of Engineering Mechanics, 2011, 138(3): 263-275.
    [2]J. ZHAO and N. GUO. Unique critical state characteristics in granular media considering fabric anisotropy[J]. Geotechnique, 2013, 63(8): 695–704
    [3]Abouzar. Sadrekarimi Scott M. Olson. Residual state of sands[J]. Journal of Geotechnical and Geoemvironmental Engineering, ASCE, 2013, 140(4): 04013045.
    [4]李学丰, 黄茂松, 钱建固. 宏细观结合的砂土各向异性破坏准则[J]. 岩石力学与工程学报, 2010, 29(9): 1885–1892. (LI Xuefeng, HUANG Maosong, QIAN Jiangu. Failure criterion of anisotropic sand with the method of macro-micro incorporation[J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(9): 1885–1892. (in Chinese))
    [5]李学丰, 孔亮, 黄茂松.岩土材料特性相关塑性位势理论[J]. 岩土工程学报, 2013,35(9): 1722–1729.(LI Xue-feng, KONG Liang, HUANG Mao-song. Property-dependent plastic potential theory for geomaterials[J], Chinese Journal of Geotechnical Engineering, 2013,35(9): 1722–1729. (in Chinese)).
    [6]Oda, M, Koishikawa, I. Anisotropic fabric of sands[J]. Soils and Foundations, 1977, 17(4): 71–77.
    [7]Bagi K. Stress and strain in granular assemblies[J]. Mechanics of materials, 1996, 22(3): 165-177.
    [8]Li X, Li X S. Micro-macro quantification of the internal structure of granular materials[J]. Journal of engineering mechanics, 2009, 135(7): 641-656.
    [9]Hilliard J E. Determination of structural anisotropy[M]. Springer Berlin Heidelberg, 1967.
    [10]Kanatani K I. Stereological determination of structural anisotropy[J]. International Journal of Engineering Science, 1984, 22(5): 531-546.
    [11]Ken-Ichi K. Procedures for stereological estimation of structural anisotropy[J]. International Journal of Engineering Science, 1985, 23(5): 587-598.
    [12]Bhatia, S. K. and Soliman, A.F. Frequency Distribution of Void Ratio of Granular Materials Determined by an Image Analyzer[J], Soils and Foundations. 1990, 30( 1): 1-16
    [13]Alshibli K A, El-Saidany H A. Quantifying void ratio in granular materials using Voronoi tessellation[J]. Journal of computing in civil engineering, 2001, 15(3): 232-238.
    [14]Kuo C Y, Frost J D, Chameau J L A. Image analysis determination of stereology based fabric tensors[J]. Geotechnique, 1998, 48(4): 515-525.
    [15]Kuo, C. Y. Quantifying the fabric of granular materials- an image analysis approach[PhD thesis], 1994, Georgia Institute of Technology.
    [16]王宝军,施斌,蔡奕等. 基于GIS 的黏性土SEM 图像三维可视化与孔隙度计算[J]. 岩土力学,2008,29(1):251-255.(WANG Baojun, SHI Bin,CAI Yi,et al. 3D visualization and porosity computation of clay soil SEM image by GIS[J]. Rock and Soil Mechanics,2008,29(1):215-255. (in Chinese))
    [17]张先伟,孔令伟,郭爱国,等. 基于SEM 和MIP 试验结构性黏土压缩过程中微观孔隙的变化规律[J]. 岩石力学与工程学报,2012,31(2):406–412.(ZHANG Xianwei,KONG Lingwei,GUO Aiguo,et al. Evolution of microscopic pore of structured clay in compression process based on SEM and MIP test[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(2):406–412.(in Chinese))
    [18]徐日庆, 邓祎文, 徐波等. 基于SEM图像的软土三维孔隙率计算及影响因素分析[J]. 岩石力学与工程学报,2015, 优先出版,http: //www. cnki. net/kcms/detail/42. 1397.O3.20150311.0935.006. html31(2). (in Chinese))
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LI Xuefeng, HE Yuqi, MENG Fanchao. Image Analysis of Sand Void Fabric Based on Stereology Principle[J].同济大学学报(自然科学版),2017,45(03):0323~0329

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History
  • Received:September 10,2015
  • Revised:September 13,2016
  • Adopted:February 04,2017
  • Online: April 01,2017
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