AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Railway Sciences Article
PDF (2.9 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Numerical analysis for permafrost temperature field in the short term of permafrost subgrade filling

Yunjia Wang1( ), Qianli Zhang2
Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
Show Author Information

Abstract

Purpose

It is of great significance to study the influence of subgrade filling on permafrost temperature field in permafrost area for the smooth construction and safe operation of railway.

Design/methodology/approach

The paper builds up the model for the hydrothermal coupling calculation of permafrost using finite element software COMSOL to study how permafrost temperature field changes in the short term after subgrade filling, on which basis it proposes the method of calculation for the concave distortion of freezing front in the subgrade-covered area.

Findings

The results show that the freezing front below the subgrade center sinks due to the thermal effect of subgrade filling, which will trigger hydrothermal erosion in case of sufficient moisture inflows, leading to the thawing settlement or the cracking of the subgrade, etc. The heat output of soil will be hindered the most in case of July filling, in which case the sinking and the distortion of the freezing front is found to be the most severe, which the recovery of the permafrost temperature field, the slowest, constituting the most unfavorable working condition. The concave distortion of the freezing front in the subgrade area increases with the increase in temperature difference between the filler and ground surface, the subgrade height, the subgrade width and the volumetric thermal capacity of filler, while decreases with the increase of the thermal conductivity of filler. Therefore, the filler chose for engineering project shall be of small volumetric thermal capacity, low initial temperature and high thermal conductivity whenever possible.

Originality/value

The concave distortion of the freezing front under different working conditions at different times after filling can be calculated using the method proposed.

Keywords

Numerical simulationTemperature fieldPermafrostSubgradeHydrothermal coupling

References

 

Bai, Q., Li, X., Tian, Y., & Fang, J. (2015). Equations and numerical simulation for coupled water and heat transfer in frozen soil. Chinese Journal of Geotechnical Engineering, 37(Supplement 2), 131–136.
Google Scholar
 
Bian, X. (2012). Ventilation performance of riprap embankment in the Qinghai-Tibet railway. Beijing: Beijing Jiaotong University.
 

Cheng, G. (2003a). Research on engineering geology of the roadbed in permafrost regions of Qinghai-Xizang plateau. Quaternary Sciences, 23(2), 134–141.
Google Scholar
 

Cheng, G. (2003b). Construction of Qinghai-Tibet railway with cooled roadbed. China Railway Science, 24(3), 1–4.
Google Scholar
 

Harlan, R. (1973). Analysis of coupled heat-fluid transport in partially frozen soil. Water Resources Research, 9(5), 1314–1323.
Crossref Google Scholar
 

Hu, T., Wang, T., Chang, J., Liu, J., & Lu, Y. (2020). Code development and verification for coupled process of water migration and heat transfer of frozen soil based on finite volume method. Rock and Soil Mechanics, 41(5), 1781–1789.
Google Scholar
 

Liu, J., & Tian, Y. (2002). Numerical studies for the thermal regime of a roadbed with insulation on permafrost. Cold Regions Science and Technology, 35(1), 1–13.
Crossref Google Scholar
 

Mi, W., Zhao, Y., Yang, X., Qu, Y., & Wu, X. (2017). Comparison between effects of solar refrigeration and heat pipe refrigeration on thermal stability maintenance in permafrost foundation. China Railway Science, 38(6), 1–8.
Google Scholar
 

Mu, Y., Ma, W., Niu, F., Li, G., & Wang, D. (2014). Monitoring and analyzing the thermal conditions of traditional embankments along the Qinghai-Tibet railway. Journal of Glaciology and Geocryology, 36(4), 953–961.
Google Scholar
 

Niu, F., Ma, W., & Wu, Q. (2011). Thermal stability of roadbeds of the Qinghai-Tibet railway in permafrost regions and the main freezing-thawing hazards. Journal of Earth Sciences and Environment, 33(2), 196–206.
Google Scholar
 

Philip, J., & De Vries, D. (1957). Moisture movement in porous materials under temperature gradient. Eos Transactions American Geophysical Union, 38(2), 222–232.
Crossref Google Scholar
 

Saito, H., Simunek, J., Scanlon, B., & Mohanty (2006). Numerical analysis of coupled water, vapor and heat transport in the vadose zone. Vadose Zone Journal, 5(2), 784–800.
Crossref Google Scholar
 

Song, E., Tong, R., Luo, S., & Li, P. (2019). Numerical simulation and analysis of “time-varying canopy effect” of moisture transport in subgrade soil. Engineering Mechanics, 36(8), 30–39.
Google Scholar
 
Sun, P. (2018). The law of permafrost plastic deformation under dynamic load. Lanzhou: China Earthquake Administration Lanzhou Institute of Seismology.
 

Tian, Y., Liu, J., Qian, Z., & He, P. (2002). Numerical simulation for temperature field of roadbed on permafrost with insulation. China Civil Engineering Journal, 23(2), 59–64.
Google Scholar
 

Tian, Y., Zhang, Q., Mu, Y., & Liu, Y. (2014). Analysis on thawing consolidation and deformation of ground under earthen embankment in warm permafrost region. China Railway Science, 35(3), 1–7.
Google Scholar
 

Wang, X., Mi, W., Wei, Y., & Wu, X. (2010). The change characteristics of the artificial upper limit of the roadbed and its relationship with the stability for Qinghai-Tibet railway in the permafrost region. China Railway Science, 31(5), 1–7.
Google Scholar
 

Xu, X., Wang, J., & Zhang, L. (2001). Frozen ground physics. Beijing: Science Press.
 

Yang, Y., Meng, J., Han, L., Li, Y., & Cai, H. (2018). Response of permafrost to global climate change in engineering corridor of Qinghai-Tibet railway. China Railway Science, 39(1), 1–7.
Google Scholar
 

Zhang, L. (2000). Regularity of ground temperature variation in Qinghai-Tibet plateau permafrost region and its effect on subgrade stability. China Railway Science, 21(1), 36–47.
Google Scholar
 

Zhang, M., Wen, Z., Xue, K., Chen, L., & Li, D. (2016). Temperature and deformation analysis on slope subgrade with rich moisture of Qinghai-Tibet railway in permafrost regions. Chinese Journal of Rock Mechanics and Engineering, 35(8), 1677–1687.
Google Scholar
 

Zhao, X., Cheng, J., Han, L., & Cai, H. (2019). Distribution and characteristics of embankment over upper critical height in permafrost region of Qinghai-Tibet railway. China Railway Science, 40(3), 1–9.
Google Scholar
Railway Sciences
Volume 2 Issue 2,
June 2023
Pages 179-196
DOI: 10.1108/RS-04-2023-0016
Cite this article:
Wang Y, Zhang Q. Numerical analysis for permafrost temperature field in the short term of permafrost subgrade filling. Railway Sciences, 2023, 2(2): 179-196. https://doi.org/10.1108/RS-04-2023-0016

171

Views

2

Downloads

0

Crossref

Altmetrics
Received: 06 April 2023
Revised: 16 May 2023
Accepted: 18 May 2023
Published: 06 June 2023
© Yunjia Wang and Qianli Zhang. Published in Railway Sciences.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Return