DOI QR코드

DOI QR Code

Modeling of transient temperature distribution in multilayer asphalt pavement

  • Teltayev, Bagdat B. (Kazakhstan Highway Research Institute) ;
  • Aitbayev, Koblanbek (Kazakhstan Highway Research Institute)
  • 투고 : 2014.05.20
  • 심사 : 2014.11.07
  • 발행 : 2015.02.25

초록

Mathematical model has been developed for determination of temperature field in multilayer pavement and subgrade, which considers transfer of heat by conduction and convection, receiving of heat from total solar radiation and atmosphere emission, output of heat due to the emission from the surface of pavement. The developed model has been realized by the finite element method for two dimensional problem using two dimensional second order finite element. Calculations for temperature field have been made with the programme realized on the standard mathematical package MATLAB. Accuracy of the developed model has been evaluated by comparison of temperatures, obtained theoretically and experimentally. The results of comparison showed high accuracy of the model. Long-term calculation (within three months) has been made in pavement points in accordance with the data of meteorological station for air temperature. Some regularities have been determined for variation of temperature field.

키워드

참고문헌

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  2. Regularities for temperature variation in subgrade of highway vol.13, pp.5, 2017, https://doi.org/10.12989/gae.2017.13.5.793
  3. Experimental study on freezing point of saline soft clay after freeze-thaw cycling vol.15, pp.4, 2015, https://doi.org/10.12989/gae.2018.15.4.997
  4. Temperature in pavement and subgrade and its effect on moisture vol.13, pp.None, 2019, https://doi.org/10.1016/j.csite.2018.11.014
  5. Temperature distribution during heavy oil thermal recovery considering the effect of insulated tubing vol.19, pp.6, 2015, https://doi.org/10.12989/gae.2019.19.6.523
  6. Probability prediction of pavement surface low temperature in winter based on bayesian structural time series and neural network vol.194, pp.None, 2015, https://doi.org/10.1016/j.coldregions.2021.103434