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Pore-Network Model for Geo-Materials

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Proceedings of GeoShanghai 2018 International Conference: Multi-physics Processes in Soil Mechanics and Advances in Geotechnical Testing (GSIC 2018)

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Abstract

Pore-network model is a convenient tool to investigate the micromechanics of seepage in porous media. Geo-materials are typical porous media, including the different types of soils and rocks from rock-fill with mm-scale pores with high connectivity to gas shale with nm-scale pores and little connectivity. Based on the 2D image from CT or micro-CT technology, the 3D image of soil aggregates/rock matrix and pore structures for different types of geo-materials were obtained by the advance computational graphics technology. The pore size distribution and connectivity were derived from the developed 3D model, which agreed well with the experiment result. The seepage process was also simulated numerically via the developed micro-mechanics seepage model, and the pore-scale phenomena was revealed such as preferential flow. The hydraulic conductivities for various types of geo-materials from numerical simulation agreed well with the laboratory testing data, demonstrating the potential capability of pore-network model in hydraulic properties study for geo-materials.

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References

  1. Zhou, H., et al.: Modeling research on the response of geoelectric fields in a porous media seepage process. J. Geophys. Eng. 14(2), 408–416 (2017)

    Article  Google Scholar 

  2. Tao, Y.: Seepage and stability analysis of coarse grained soil embankment slope under the condition of rainfall. Changsha University of Science and Technology, Changsha (2013)

    Google Scholar 

  3. Vicent, V., et al.: A new method developed to characterize the 3D microstructure of frozen apple using X-ray micro-CT. J. Food Eng. 212, 154–164 (2017)

    Article  Google Scholar 

  4. Qin, Y., et al.: A quasi real-time approach to investigating the damage and fracture process in plain concrete by X-Ray tomography. J. Civ. Eng. Manage. 22(6), 792–799 (2016)

    Google Scholar 

  5. Thali, M.J., et al.: VIRTOPSY - Scientific documentation, reconstruction and animation in forensic: individual and real 3D data based geo-metric approach including optical body/object surface and radiological CT/MRI scanning. J. Forensic Sci. 50(2), 428–442 (2005)

    Article  Google Scholar 

  6. Song, W., et al.: Assessing relative contributions of transport mechanisms and real gas properties to gas flow in nanoscale organic pores in shales by pore network modelling. Int. J. Heat Mass Transf. 113, 524–537 (2017)

    Article  Google Scholar 

  7. Gao, S., et al.: Two methods for pore network of porous media. Int. J. Numer. Anal. Meth. Geomech. 36(18), 1954–1970 (2012)

    Article  Google Scholar 

  8. Shuangli, T.: New advances of multislice spiral computed tomography. CT Theory Appl. 14(4), 50–53 (2005)

    Google Scholar 

  9. Li, X.: A research for reprocessing the data of rock and soil material CT text for the degree of master of engineering. Changjiang River Scientific Research Institute, Wuhan (2012)

    Google Scholar 

  10. Li, C., et al.: 3D mesh generation for soil-rock mixture based on CT scanning. Rock Soil Mech. 35(9), 2731–2736 (2014)

    Google Scholar 

  11. Jiang, J., et al.: CT triaxial rheological test on coarse-grained soils. Rock Soil Mech. 35(9), 2507–2514 (2014)

    Google Scholar 

  12. Cheng, Z., et al.: Application of CT technology in geotechnical mechanics. J. Yangtze River Sci. Res. Inst. 28(3), 33–38 (2011)

    Google Scholar 

  13. Sun, H., et al.: 3D identification and analysis of fracture and damage in soil-rock mixtures based on CT image processing. J. China Coal Soc. 39(3), 452–459 (2014)

    Google Scholar 

  14. Cheng, Y., et al.: Three-dimensional reconstruction of soil pore structure and prediction of soil hydraulic properties based on CT images. Trans. Chin. Soc. Agric. Eng. 28(22), 115–122 (2012)

    Google Scholar 

  15. Lochmann, K., et al.: Statistical analysis of random sphere packings with variable radius distribution. Solid State Sci. 8(12), 1397–1413 (2006)

    Article  Google Scholar 

  16. Hongqin, D.: The Research on Sphere Random Packings and Packing Structure. Soochow University, Suzhou (2011)

    Google Scholar 

  17. Bryant, S.L., et al.: Network model evaluation of permeability and spatial correlation in a real random sphere packing. Transp. Porous Media 11(1), 53–70 (1993)

    Article  Google Scholar 

  18. Kantzas, A., Chatzis, I.: Network simulation of relative permeability curves using a bond correlated-site percolation model of pore structure. Chem. Eng. Commun. 69, 191–214 (1988)

    Article  Google Scholar 

  19. Gao, L., Chen, W.: The Application and Prospect of CT. CT Theory Appl. 18(1), 99–109 (2009)

    Google Scholar 

  20. Xianchao, W.: Research on Local Reconstruction Algorithm of CT Images. PLA Information Engineering University, Zhengzhou (2013)

    Google Scholar 

  21. Wenli, Y.: Research on the Techniques for 3D Reconstruction and Visualization of Slicing Image Sequence of Granular Soil. Huazhong University of Science and Technology, Wuhan (2012)

    Google Scholar 

  22. Yang, K., et al.: Fast bilateral filtering using the discrete cosine transform and the recursive method. Optik 126(6), 592–595 (2015)

    Article  Google Scholar 

  23. Imperial College London. http://www.imperial.ac.uk/earth-science

  24. Kan, G., et al.: Accelerating the SCE-UA global optimization method based on multi-core CPU and many-core GPU. Adv. Meteorol. (2016)

    Google Scholar 

  25. Lagarias, J.C., et al.: Convergence properties of the nelder-mead simplex method in low dimensions. SIAM J. Optim. 9(1), 112–147 (1998)

    Article  Google Scholar 

  26. Bryant, S., Blunt, M.: Prediction of relative permeability in simple porous-media. Phys. Rev. A 46(4), 2004–2011 (1992)

    Article  Google Scholar 

  27. Wyllie, M.R.J., Gregory, A.R.: Fluid flow through unconsolidated porous aggregates - effect of porosity and particle shape on kozeny-carman constants. Ind. Eng. Chem. 47(7), 1379–1388 (1955)

    Article  Google Scholar 

  28. Chu, C.F., Ng, K.M.: Flow in packed tubes with a small tube to particle diameter ratio. AIChE J. 35(1), 148–158 (1989)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Hydraulic Engineering, Tsinghua University, Beijing, China

    Liming Hu, Haohao Guo & Pengwei Zhang

  2. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongming Yan

Authors
  1. Liming Hu
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  2. Haohao Guo
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  3. Pengwei Zhang
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  4. Dongming Yan
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Corresponding author

Correspondence to Liming Hu .

Editor information

Editors and Affiliations

  1. University of Toledo, Toledo, OH, USA

    Liangbo Hu

  2. Geotechnical Engineering, Tongji University, Shanghai, China

    Xiaoqiang Gu

  3. The University of Akron, Akron, OH, USA

    Junliang Tao

  4. Royal Melbourne Institute of Technology, Melbourne, VIC, Australia

    Annan Zhou

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Hu, L., Guo, H., Zhang, P., Yan, D. (2018). Pore-Network Model for Geo-Materials. In: Hu, L., Gu, X., Tao, J., Zhou, A. (eds) Proceedings of GeoShanghai 2018 International Conference: Multi-physics Processes in Soil Mechanics and Advances in Geotechnical Testing. GSIC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-0095-0_27

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