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Nano-SiO2 for efficiency of geotechnical properties of fine soils in mining and civil engineering

  • Yanzhen, Qiao (School of Mines, Hulunbuir University) ;
  • Zandi, Yousef (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Rahimi, Abouzar (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Pourkhorshidi, Sara (Civil Engineering Department, Sahand University of Technology) ;
  • Roco-Videla, Angel (Programa Magister en Ciencias Quimico-biologicas, Facultad de Ciencias de la Salud, Universidad Bernardo O'Higgins) ;
  • Khadimallah, Mohamed Amin (Prince Sattam Bin Abdulaziz University, College of Engineering,Civil Engineering Department) ;
  • Jameel, Mohammed (Department of Civil Engineering, College of Engineering, King Khalid University) ;
  • Kasehchi, Ehsan (Department of Civil Engineering, Roudehen Branch Islamic Azad University) ;
  • Assilzadeh, Hamid (Institute of Research and Development, Duy Tan University)
  • Received : 2020.05.10
  • Accepted : 2021.08.01
  • Published : 2021.09.25
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Abstract

Taking into account the decreased number of available lands, the construction of structures on soft soil leads towards the development of soil stabilizing models. This study is aimed at studying the decrement of land resources available, and the design of civil engineering structures on soft soils that will develop the soil impact of nano-SiO2 in the use of clay soil with low liquid limit, in particular shear resistance and unconfined compression. A novel nano-soil stabilizer has been created in this investigation by use of nano-SiO2 activity and ultrafine features that have enabled cement-based stabilizers to increase their characteristics in broad application possibilities. This research aims to examine the influence on soil engineering, particularly the shear strength of clay soil with a low liquid limit to the effect of adding nano-SiO2. Nano-SiO2 has 3 different percentages combined with soil (i.e., 0.5, 0.7 percent by weight of the parent soil), A direct shear test was used to evaluate the shear strength of the specimen, and then the results were analyzed by Artificial Neural Network (ANN) to increase the accuracy of outcomes. Increased nano-SiO2 concentration was shown to lead to an increased internal friction angle and cohesiveness on clay soil. The optimal content for nano-SiO2 is 0.7%. ANN could accurately demonstrate the shear strength percentages in nano-SiO2 content.

Keywords

References

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  83. Shah, S.N.R., Sulong, N.R., Shariati, M., Khan, R. and Jumaat, M. Z. (2016a), "Behavior of steel pallet rack beam-to-column connections at elevated temperatures", Thin Wall. Struct., 106, 471-483. https://doi.org/10.1016/j.tws.2016.05.021.
  84. Shah, S., Sulong, N.R., Jumaat, M. and Shariati, M. (2016b), "State-of-the-art review on the design and performance of steel pallet rack connections", Eng. Fail. Anal., 66, 240-258. https://doi.org/10.1016/j.engfailanal.2016.04.017.
  85. Shah, S.N.R., Sulong, N.R., Shariati, M. and Jumaat, M.Z. (2015), "Steel rack connections: Identification of most influential factors and a comparison of stiffness design methods", PloS one, 10(10), e0139422. https://doi.org/10.1371/journal.pone.0139422.
  86. Shahabi, S.E.M., Sulong, N., Shariati, M., Mohammadhassani, M. and Shah, S.N.R. (2016), "Numerical analysis of channel connectors under fire and a comparison of performance with different types of shear connectors subjected to fire", Steel Compos. Struct., 20(3), 651-669. https://10.12989/scs.2016.20.3.651.
  87. Shahnavaz, M., Nourzadeh Haddad, M., Gholami, A. and Panahpour, E. (2019), "Investigation the efficiency of soil stabilizers against soil loss and their effects on chemical properties of soil", Arid Land Res. Manage., 33(2), 119-135. https://doi.org/10.1080/15324982.2018.1531324.
  88. Shariati, M., Ramli-Sulong, N.H., Arabnejad, M.M., Shafigh, P. and Sinaei, H. (2011a), "Assessing the strength of reinforced concrete structures through Ultrasonic Pulse Velocity and Schmidt Rebound Hammer tests", Sci. Res. Essays, 6(1), 213-220. https://doi.org/10.5897/SRE10.879
  89. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Shariati, A. (2011b), "Experimental and numerical investigations of channel shear connectors in high strength concrete", Proceedings of the 2011 World Congress on Advances in Structural Engineering and Mechanics, (ASEM'11+), Seoul, South Korea, August.
  90. Shariati, M., Ramli Sulong, N.H., Sinaei, H., Arabnejad Khanouki, M.M. and Shafigh, P. (2011c), "Behavior of channel shear connectors in normal and light weight aggregate concrete (experimental and analytical study)", Adv. Mater. Res., 168, 2303-2307. http://doi.org/10.4028/www.scientific.net/AMR.168-170.2303.
  91. Shariati, A., Sulong, N.H., Suhatril, M. and Shariati, M. (2012a), "Investigation of channel shear connectors for composite concrete and steel T-beam", Int. J. Phys. Sci., 7(11), 1828-1831. https://doi.org/10.5897/IJPS11.1604.
  92. Shariati, A., RamliSulong, N.H. and Shariati, M. (2012b), "Various types of shear connectors in composite structures: A review", Int. J. Phys. Sci., 7(22), 2876-2890. http://doi.org/10.13140/RG.2.1.1903.0563.
  93. Shariati, M., Ramli Sulong, N., Suhatril, M., Shariati, A., Arabnejad Khanouki, M. and Sinaei, H. (2012c), "Fatigue energy dissipation and failure analysis of channel shear connector embedded in the lightweight aggregate concrete in composite bridge girders", Proceedings of the 5th International Conference on Engineering Failure Analysis, Hague, Netherlands, July. https://doi.org/10.1016/j.engfailanal.2014.02.017.
  94. Shariati, M. (2013), "Behaviour of C-shaped shear connectors in stell concrete composite beams", Ph.D. Dissertation, Universiti Malaya, Kuala Lumpur, Malaya. http://doi.org/10.1016/j.matdes.2012.04.039.
  95. Shariati, M., Sulong, N.R., Suhatril, M., Shariati, A., Khanouki, M.A. and Sinaei, H. (2013), "Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading", Constr. Build. Mater., 38, 582-593. https://doi.org/10.1016/j.conbuildmat.2012.07.050.
  96. Shariati, M., Shariati, A., Sulong, N.R., Suhatril, M. and Khanouki, M.A. (2014), "Fatigue energy dissipation and failure analysis of angle shear connectors embedded in high strength concrete", Eng. Fail. Anal., 41, 124-134. https://doi.org/10.1016/j.engfailanal.2014.02.017.
  97. Shariati, M., Toghroli, A., Jalali, A. and Ibrahim, Z. (2017), "Assessment of stiffened angle shear connector under monotonic and fully reversed cyclic loading", Proceedings of the Fifth International Conference on Advances in Civil, Structural and Mechanical Engineering-CSM, Zurich, Switzerland, September. http://doi.org/10.15224/978-1-63248-132-0-44.
  98. Shariati, M., Azar, S.M., Arjomand, M.A., Tehrani, H.S., Daei, M. and Safa, M. (2019a), "Comparison of dynamic behavior of shallow foundations based on pile and geosynthetic materials in fine-grained clayey soils", Geomech. Eng., 19(6), 473-484. http://doi.org/10.12989/gae.2020.19.6.473.
  99. Shariati, M., Heyrati, A., Zandi, Y., Laka, H., Toghroli, A., Kianmehr, P., Safa, M., Salih, M.N. and Poi-Ngian, S. (2019b), "Application of waste tire rubber aggregate in porous concrete", Smart Struct. Syst., 24(4), 553-566. http://doi.org/10.12989/scs.2020.36.5.587.
  100. Shariati, M., Mafipour, M.S., Mehrabi, P., Bahadori, A., Zandi, Y., Salih, M.N., Nguyen, H., Dou, J., Song, X. and Poi-Ngian, S. (2019c), "Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete", Appl. Sci., 9(24), 5534. https://doi.org/10.3390/app9245534.
  101. Shariati, M., Mafipour, M. S., Mehrabi, P., Zandi, Y., Dehghani, D., Bahadori, A., Shariati, A., Trung, N.T., Salih, M.N. and Poi-Ngian, S. (2019d), "Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures", Steel Compos. Struct., 33(3), 319-332. https://doi.org/10.12989/scs.2019.33.3.319.
  102. Shariati, M., Rafie, S., Zandi, Y., Fooladvand, R., Gharehaghaj, B., Mehrabi, P., and Poi-Ngian, S. (2019e), "Experimental investigation on the effect of cementitious materials on fresh and mechanical properties of self-consolidating concrete", Adv. Concrete Constr., 8(3), 225-237. http://doi.org/10.12989/acc.2019.8.3.225.
  103. Shariati, M., Trung, N.T., Wakil, K., Mehrabi, P., Safa, M. and Khorami, M. (2019f), "Moment-rotation estimation of steel rack connection using extreme learning machine", Steel Compos. Struct., 31(5), 427-435. https://doi.org/10.12989/scs.2019.31.5.427.
  104. Shariati, M., Azar, S.M., Arjomand, M.A., Tehrani, H.S., Daei, M. and Safa, M. (2020a), "Evaluating the impacts of using piles and geosynthetics in reducing the settlement of fine-grained soils under static load", Geomech. Eng., 20(2), 87-101. http://doi.org/10.12989/gae.2020.20.2.087.
  105. Shariati, M., Ghorbani, M., Naghipour, M., Alinejad, N. and Toghroli, A. (2020b), "The effect of RBS connection on energy absorption in tall buildings with braced tube frame system", Steel Compos. Struct., 34(3), 393-407. https://doi.org/10.12989/scs.2020.34.3.393
  106. Shariati, M., M. Grayeli, A. Shariati and M. Naghipour (2020c), "Performance of composite frame consisting of steel beams and concrete filled tubes under fire loading", Steel Compos. Struct., 36(5), 587-602. http://doi.org/10.12989/scs.2020.36.5.587.
  107. Shariati, M., Mafipour, M.S., Ghahremani, B., Azarhomayun, F., Ahmadi, M., Trung, N.T. and Shariati, A. (2020d), "A novel hybrid extreme learning machine-grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement", Eng. Comput., 1-23. https://doi.org/10.1007/s00366-020-01081-0.
  108. Shariati, M., Mafipour, M.S., Haido, J.H., Yousif, S.T., Toghroli, A., Trung, N.T. and Shariati, A. (2020e), "Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)", Steel Compos. Struct., 34(1), 155-171. https://doi.org/10.12989/scs.2020.34.1.155.
  109. Shariati, M., Mafipour, M.S., Mehrabi, P., Ahmadi, M., Wakil, K., Trung, N.T. and Toghroli, A. (2020f), "Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)", Smart Struct. Syst., 25(2), 183-195. http://doi.org/10.12989/sss.2020.25.2.183.
  110. Shariati, M., Naghipour, M., Yousofizinsaz, G., Toghroli, A. and Tabarestani, N.P. (2020g), "Numerical study on the axial compressive behavior of built-up CFT columns considering different welding lines", Steel Compos. Struct., 34(3), 377-391. http://doi.org/10.12989/scs.2020.34.3.377.
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