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Quantitative Research on the Evolution of Mesoparameters at Out of the Shear Band of the Air-Dried Clay

  • Wei WangEmail author
  • Pei-ling He
  • Bing-hua Zhao
Conference paper
Part of the Sustainable Civil Infrastructures book series (SUCI)

Abstract

Based on the axial symmetry principle, three undisturbed and three remoulded cylindrical specimens of the air-dried clay were made into six half-cylinders through the axial symmetry plane, which were carried out on the unconfined compression tests. In the meantime, to investigate the mesostructures, the CCD camera system was developed with the long work distance telecentric microscope lens. By using the image collection system, a series of mesoimages of six clay samples at out of the shear band were captured under different loading states. According to these images, the evolution of mesoparameters of the air-dried clay was studied along increasing loads. Then, through images processing, the mesoimages were transformed into binary images (white areas were congregate particles while black areas were voids). So, the five mesoparameters such as area porosity, particles circularity, particles fractal dimension, particles orientation and Euler number extracted from the series of binary images were defined and analyzed quantitatively using the statistical method. The results show that: (1) the evolution curve shows that the preferable correlation exists in area porosity, particles circularity, particles fractal dimension and Euler number for undisturbed and remoulded clay while the correlation of other parameters does not exist. (2) Especially, with regard to the undisturbed clay, the correlation between particles circularity and particles fractal dimension can be fitted by the quadratic polynomial curve. Moreover, the correlation for the remoulded clay between particles circularity and particles fractal dimension is linear relationship. (3) This study also indicates that there isn’t defined and uniform quantitative regression formula between five mesoparameters and the stress of samples in view of the complexity of clay actual mesostructues. It is gratifying that the evolution of some mesoparameters at out of the shear band of the air-dried clay along increasing loads had been qualitatively drawn from the regression analysis.

Notes

Acknowledgements

Authors are wishing to acknowledge the financial support from the Science Research Fund of Nanjing Institute of Technology (No. CKJB201310) and the Qingnian Xueshu Gugan Teacher Fund of Nanjing Institute of Technology.

References

  1. Ammouche, A., Riss, J., Breysse, D., Marchand, J.: Image analysis for the automated study of microcracks in concrete. Cement Concr. Compos. 23(2–3), 267–278 (2001). doi: 10.1016/S0958-9465(00)00054-8 CrossRefGoogle Scholar
  2. Bo, M.W., Arulrajah, A., Sukmak, P., Horpibulsuk, S., Leong, M.: Mineralogy and geotechnical properties of ultrasoft soil from a nearshore mine tailings sedimentation pond. Mar. Georesour. Geotechnol. 34(8), 782–791 (2016). doi: 10.1080/1064119X.2015.1094158 CrossRefGoogle Scholar
  3. Cui, G.Z., Shen, L.F., Wang, Z.L., Tang, Z.G., Xu, Z.M.: Numerical simulation of mesoscopic seepage field of soil CT scanned slice based on Iattice Boltzmann method. Rock Soil Mech. 37(5), 1497–1502 (2016). doi: 10.16285/j.rsm.2016.05.034 Google Scholar
  4. Darma, I.S., Sugiyama, T., Promentilla, M.A.B.: Application of X-Ray CT to study diffusivity in cracked concrete through the observation of tracer transport. J. Adv. Concr. Technol. 11(10), 266–281 (2013). doi: 10.3151/jact.11.266 CrossRefGoogle Scholar
  5. Ding, X.L., Zhang, H.M., Huang, S.L., Lu, B., Zhang, Q.: Research on mechanical characteristics of unsaturated soil-rock mixture based on numerical experiments of mesostructure. Yanshilixue Yu Gongcheng Xuebao/Chin. J. Rock Mech. Eng. 31(8), 1553–1566 (2012)Google Scholar
  6. Ge, X., Ren, J., Pu, Y., Ma, W., Zhu, Y.: Real in time CT test of the rock meso-damage propagation law. Sci. China Ser. B: Chem. 44(3), 328–336 (2001)CrossRefGoogle Scholar
  7. Houben, M.E., Desbois, G., Urai, J.L.: A comparative study of representative 2D microstructures in shaly and sandy facies of Opalinus Clay (Mont Terri, Switzerland) inferred from BIB-SEM and MIP methods. Mar. Pet. Geol. 49, 143–161 (2014). doi: 10.1016/j.marpetgeo.2013.10.009 CrossRefGoogle Scholar
  8. Hu, R.L., Li, X.Q., Guan, G.L., Ye, H.: Fractal characters of loess microstructure in deformation process and its engineering significance. In: Seventh International Congress International Association of Engineering Geology, pp. 3411–3417 (1994)Google Scholar
  9. Landis, E.N., Nagy, E.N.: Three-dimensional work of fracture for mortar in compression. Eng. Fract. Mech. 65(2), 223–234 (2000). doi: 10.1016/S0013-7944(99)00124-1 CrossRefGoogle Scholar
  10. Ketcham, R.A.: Three-dimensional grain fabric measurements using high resolution X-ray computed tomography. J. Struct. Geol. 27(7), 1217–1228 (2005). doi: 10.1016/j.jsg.2005.02.006 CrossRefGoogle Scholar
  11. Li, J., Qian, Z.Q.: The application of image acquisition and analysis techniques to the field of drying. Food Eng. Rev. 1–23 (2016). doi: 10.1007/s12393-016-9146-2
  12. Mahmood, Z., Iwashita, K.: A simulation study of microstructure evolution inside the shear band in biaxial compression test. Int. J. Numer. Anal. Meth. Geomech. 35(6), 652–667 (2011). doi: 10.1002/nag.917 CrossRefGoogle Scholar
  13. Nicot, F., Sibille, L., Hicher, P.Y.: Micro-macro analysis of granular material behavior along proportional strain paths. Continuum Mech. Thermodyn 27, 173–193 (2015)CrossRefGoogle Scholar
  14. Obaidat, M.T., Ai-Masaeid, H.R., Gharayben, F., Khedaywi, T.S.: An innovative digital image analysis approach to quantify the percentage of voids in mineral aggregates of bituminous mixtures. Can. J. Civ. Eng. 25(6), 1041–1049 (1998)CrossRefGoogle Scholar
  15. Pena, A.A., Garcia-Rojo, R., Herrmann, H.J.: Influence of particle shape on sheared dense granular media. Granular Matter 9(3–4), 279–291 (2007). doi: 10.1007/s10035-007-0038-2 CrossRefGoogle Scholar
  16. Pietruszczak, S., Guo, P.: Description of deformation process in inherently anisotropic granular materials. Int. J. Numer. Anal. Meth. Geomech. 37(5), 478–490 (2013). doi: 10.1002/nag.1106 CrossRefGoogle Scholar
  17. Ulusoy, U., Igathinathane, C.: Particle size distribution modeling of milled coals by dynamic image analysis and mechanical sieving. Fuel Process. Technol. 143, 100–109 (2016). doi: 10.1016/j.fuproc.2015.11.007 CrossRefGoogle Scholar
  18. Wang, Y., Li, X., Zhang, B., Wu, Y.F.: Meso-damage cracking characteristic analysis for rock and soil aggregate with CT test. Sci. China Technol. Sci. 57(7), 1361–1371 (2014). doi: 10.1007/s11431-014-5578-1 CrossRefGoogle Scholar
  19. Yue, Z.Q.: Digital representation of mesogeomaterial spatial distribution and associated numerical analysis of geomechanics: methods, applications and developments. Chin. J. Rock Mech. Eng. 5, 875–888 (2006)Google Scholar
  20. Yue, Z.Q., Chen, S., Tham, L.G.: Finite element modeling of geomaterials using digital image processing. Comput. Geotech. 30, 375–397 (2003)CrossRefGoogle Scholar
  21. Zhang, H.Y., Xu, W.J., Yu, Y.Z.: Numerical analysis of soil-rock mixture’s meso-mechanics based on biaxial test. J. Cent. South Univ. 23(3), 685–700 (2016). doi: 10.1007/s11771-016-3114-0 CrossRefGoogle Scholar
  22. Zhang, J.R., Tao, G.L., Huang, L., Yuan, L.: Porosity models for determining the pore-size distribution of rocks and soils and their applications. Chin. Sci. Bull. 55(34), 3960–3970 (2010). doi: 10.1007/s11434-010-4111-6 CrossRefGoogle Scholar
  23. Zhang, X.W., Kong, L.W.: Study of pore characteristics of offshore clay by SEM and MIP and NA methods. Yantu Lixue/Rock Soil Mech. 34(S2), 134–142 (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Institute of Civil Engineering and ArchitectureNanjing Institute of TechnologyNanjingChina

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