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Feasibility of Using Modified Silty Clay and Extruded Polystyrene (XPS) Board as the Subgrade Thermal Insulation Layer in a Seasonally Frozen Region, Northeast China

Author

Listed:
  • Qinglin Li

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Haibin Wei

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Leilei Han

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Fuyu Wang

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Yangpeng Zhang

    (School of Transportation, Jilin University, Changchun 130022, China)

  • Shuanye Han

    (School of Transportation, Jilin University, Changchun 130022, China)

Abstract

To achieve the purposes of storing industry solid wastes and enhancing subgrade stability in seasonally frozen regions, Structure III, which utilized the modified silty clay (SC) and extruded polystyrene (XPS) board as a novel subgrade thermal insulation layer (NSTIL), was presented. The above modified SC consisted of oil shale industry solid waste, fly ash and SC. In terms of environmental impact, the average single pollution index, the Nemerow integrated pollution index and national standards were carried out to estimate whether the modified SC could be used as a subgrade filler. These results show that, although the modified SC will produce pollution to the environmental background, the concentration of each hydrochemical constituent from the modified SC meets the corresponding national standards in China. In terms of the thermal insulation capability, the numerical simulation of coupling moisture and temperature was applied to analyze that of Structures I, II and III. The research results show that the numerical results of the Structure I are approximated to the official website information of Jilin province, indicating that the above numerical simulation is effective for coupling moisture and temperature of frozen soil. Both modified SC and NSTIL have the advantage of good thermal insulation property, but the thermal insulation property of the NSTIL is greater. Furthermore, the NSTIL at the top of the Structure III can protect the SC of the experimental road from the damage of frost heave. The research results are of great significance for reducing environmental pollution caused by oil shale industry solid waste and fly ash, increasing the utilization rate of industrial waste and enhancing the subgrade stability in seasonally frozen regions.

Suggested Citation

  • Qinglin Li & Haibin Wei & Leilei Han & Fuyu Wang & Yangpeng Zhang & Shuanye Han, 2019. "Feasibility of Using Modified Silty Clay and Extruded Polystyrene (XPS) Board as the Subgrade Thermal Insulation Layer in a Seasonally Frozen Region, Northeast China," Sustainability, MDPI, vol. 11(3), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:804-:d:203312
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    References listed on IDEAS

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    1. Youhua Ran & Xin Li & Guodong Cheng & Tingjun Zhang & Qingbai Wu & Huijun Jin & Rui Jin, 2012. "Distribution of Permafrost in China: An Overview of Existing Permafrost Maps," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 23(4), pages 322-333, October.
    2. Audrius Vaitkus & Judita Gražulytė & Egidijus Skrodenis & Igoris Kravcovas, 2016. "Design of Frost Resistant Pavement Structure Based on Road Weather Stations (RWSs) Data," Sustainability, MDPI, vol. 8(12), pages 1-13, December.
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    Cited by:

    1. Haibin Wei & Qinglin Li & Leilei Han & Shuanye Han & Fuyu Wang & Yangpeng Zhang & Zhao Chen, 2019. "Experimental Research on Deformation Characteristics of Using Silty Clay Modified by Oil Shale Ash and Fly Ash as the Subgrade Material after Freeze-Thaw Cycles," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    2. Qinglin Li & Haibin Wei & Peilei Zhou & Yangpeng Zhang & Leilei Han & Shuanye Han, 2019. "Experimental and Numerical Research on Utilizing Modified Silty Clay and Extruded Polystyrene (XPS) Board as the Subgrade Thermal Insulation Layer in a Seasonally Frozen Region, Northeast China," Sustainability, MDPI, vol. 11(13), pages 1-15, June.
    3. Hyun-Jun Choi & Sewon Kim & YoungSeok Kim & Jongmuk Won, 2022. "Predicting Frost Depth of Soils in South Korea Using Machine Learning Techniques," Sustainability, MDPI, vol. 14(15), pages 1-14, August.

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