Cluster Computing

, Volume 22, Supplement 3, pp 5447–5455 | Cite as

Indoor direct shear and uniaxial compression testing of polymer-modified silt

  • Kai CuiEmail author
  • Shupeng Fan


Silt samples modified with a polymer [polyacrylamide (PAM)] and sodium silicate were tested before and after immersion through direct shear and unidirectional compression tests to determine shear strength and compression deformation characteristics. The cohesion and internal friction angle of these modified silt samples were significantly higher. These modified silt samples also exhibited better water resistance and their degrees of compression deformation were small. After water immersion, the degree of condensation polymerization of PAM was lowered, the strength of the modified silt decreased, and the degree of compression deformation increased. It is slightly different with silt modified with sodium silicate.


Modified silt Polymer materials Water immersion Shear strength Compression deformation 



This work was supported by the National Natural Science Foundation of China (Grant No. 41572245). The funding agencies had no role in the study design, the collection, analysis, or interpretation of data, the writing of the report, or the decision to submit the article for publication.


  1. 1.
    MCPRC (Ministry of Construction of the People’s Republic of China), GAQSIQPRC (General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China). Code for design of building foundation. China Architecture and Building Press, Beijing (2002)Google Scholar
  2. 2.
    Zhu, Z.D., Hao, J.X., Zhao, L.M.: Deformation characteristics of silt subgrade under traffic loads. Chin. J. Undergr. Space Eng. 5(5), 1013–1019 (2009)Google Scholar
  3. 3.
    Song, X.G., Zhang, H.B., Wang, S.G., et al.: Hydrophilic characteristics and strength decay of silt roadbed in Yellow River alluvial plain. Chin. J. Geotech. Eng. 32(10), 1594–1603 (2010)Google Scholar
  4. 4.
    Zhu, Z.D., Liu, S.Y., Shao, G.H., et al.: Research on silts and silts treated with stabilizers by triaxial shear tests. Rock Soil Mech. 26(12), 1967–1971 (2005)Google Scholar
  5. 5.
    Song, X.G., Zhang, Y.H., Zhang, H.Z., et al.: Analysis on pavement structure performance influenced by strength degradation of silt subgrade in Yellow river inundated area. J. Highw. Transp. Res. Dev. 27, 30–35 (2010)Google Scholar
  6. 6.
    He, F.G., Chen, W.W., Han, W.F., et al.: Correlation of microstructure indices and performance of sand solidified with polymer material. Yantu Lixue/Rock Soil Mech. 30(12): 3803-3807, 3880 (2009)Google Scholar
  7. 7.
    Nadler, A., Perfect, E., Kay, B.D.: Effect of polyacrylamide application on the stability of dry and wet aggregates. Soil Sci. Soc. Am. J. 60(2), 555–561 (1996)CrossRefGoogle Scholar
  8. 8.
    Levy, G.J., Miller, W.P.: Polyacrylamide adsorption and aggregate stability. Soil Tillage Res. 51(1–2), 121–128 (1999)CrossRefGoogle Scholar
  9. 9.
    Kukal, S.S., Kaur, M., Bawa, S.S., et al.: Water-drop stability of PVA-treated natural soil aggregates from different land uses. Catena 70(3), 475–479 (2007)CrossRefGoogle Scholar
  10. 10.
    Anagnostopoulos, C.A.: Laboratory study of an injected granular soil with polymer grouts. Tunn. Undergr. Space Technol. 20(6), 525–533 (2005)CrossRefGoogle Scholar
  11. 11.
    Honma, S., Inada, M.: Determination of hydrodynamic dispersion coefficient of sodium silicate solution in soils by measurement of electric conductivity. In: Proceedings of the Faculty of Engineering of Tokai University, Numazu, Shizuoka (1995)Google Scholar
  12. 12.
    Kim, S.J., Cha, K.S., Kim, T.H.: Effects of geo-polymer grout on compressive strength of a cemented soil. In: Proceedings of the Fourth International Conference on Grouting and Deep Mixing, New Orleans, Louisiana (2012)Google Scholar
  13. 13.
    Liu, J., Shi, B., Jiang, T.H., et al.: Improvement of water-stability of clay aggregates admixed with aqueous polymer soil stabilizers. Catena 77(3), 175–179 (2009)CrossRefGoogle Scholar
  14. 14.
    Liu, J., Shi, B., Jiang, H.J., et al.: Research on the stabilization treatment of clay slope topsoil by organic polymer soil stabilizer. Eng. Geol. 117(1–2), 114–120 (2011)CrossRefGoogle Scholar
  15. 15.
    Oliveira, R.A., Rezende, L.S., Martinez, M.A., et al.: Effect of a hydrogel polymer on the soil water retention. Soils Found. Rev. Bras. Eng. Agric. Ambient. 8, 160-163 (2004)Google Scholar
  16. 16.
    Orts, W.J., Sojka, R.E., Glenn, G.M., et al.: Preventing soil erosion with polymer additives. Polym. News 24, 406–413 (1999)Google Scholar
  17. 17.
    Wang, Y., Wang, L.C., Kojima, T.: Comparison of effects of two functional polymer materials on physical properties of sandy soil. Agric. Res. Arid Areas 26(5), 94–99 (2008)Google Scholar
  18. 18.
    Dong, J.M., Xu, H.Z., Zhu, D.H., et al.: Experimental on silty soil modified by polymer material under varying water environments. Chin. J. Geotech. Eng. 35(7), 1316–1322 (2013)Google Scholar
  19. 19.
    Onyejekwe, S., Ghataora, G.S.: Soil stabilization using proprietary liquid chemical stabilizers: Sulphonated oil and a polymer. Bull. Eng. Geol. Environ. 74(2), 651–665 (2015)CrossRefGoogle Scholar
  20. 20.
    Zhu, Z.D., Liu, S.Y., Shao, G.H., et al.: Test study on mechanics performance of stabilized silt. J. Highw. Transp. Res. Dev. 22, 34–37 (2005)Google Scholar
  21. 21.
    Wei, W., Song, H., Li, W., et al.: Gradient-driven parking navigation using a continuous information potential field based on wireless sensor network. Inform. Sci. 408(C), 100–114 (2017)CrossRefGoogle Scholar
  22. 22.
    Wei, W., Qi, Y.: Information potential fields navigation in wireless Ad-Hoc sensor networks. Sensors 11(5), 4794–4807 (2011)CrossRefGoogle Scholar
  23. 23.
    Wei, W., Xu, Q., Wang, L., et al.: GI/Geom/1 queue based on communication model for mesh networks. Int. J. Commun. Syst. 27(11), 3013–3029 (2014)Google Scholar
  24. 24.
    Wei, W., Yang, X.L., Shen, P.Y., et al.: Holes detection in anisotropic sensornets: topological methods. Int. J. Distrib. Sens. N. 8(10), 135054 (2012)CrossRefGoogle Scholar
  25. 25.
    Wei, W., Yang, X.L., Zhou, B., et al.: Combined energy minimization for image reconstruction from few views. Math. Probl. Eng. 2012(3), 1094–1099 (2012)MathSciNetzbMATHGoogle Scholar
  26. 26.
    Tian, Q., Chen, S.C.: Cross-heterogeneous-database age estimation through correlation representation learning. Neurocomputing 238, 286–295 (2017)CrossRefGoogle Scholar
  27. 27.
    Zhou, Z.L., Yang, C.N., Chen, B.J., et al.: Effective and efficient image copy detection with resistance to arbitrary rotation. IEICE Trans. Inf. Syst. E99(6), 1531–1540 (2016)CrossRefGoogle Scholar
  28. 28.
    Fu Z.J., Huang F.X., Sun X.M., et al.: Enabling semantic search based on conceptual graphs over encrypted outsourced data. IEEE Trans. Serv. Comput. (2016)Google Scholar

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© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Key Laboratory of High-speed Railway Engineering of the Ministry of EducationSouthwest Jiaotong UniversityChengduChina
  2. 2.Department of Civil EngineeringSouthwest Jiaotong UniversityChengduChina

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