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Numerical analysis for permafrost temperature field in the short term of permafrost subgrade filling
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Yunjia Wang, Qianli Zhang
Railway Sciences | 2023, 2(2) : 179 - 196
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Railway Sciences | 2023, 2(2): 179-196
Research paper
Numerical analysis for permafrost temperature field in the short term of permafrost subgrade filling
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Yunjia Wang, Qianli Zhang
Affiliations
  • 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
Published: 2023-06-10 doi: 10.1108/RS-04-2023-0016
Outline
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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.

Subgrade  /  Permafrost  /  Temperature field  /  Hydrothermal coupling  /  Numerical simulation
Yunjia Wang, Qianli Zhang. Numerical analysis for permafrost temperature field in the short term of permafrost subgrade filling[J]. Railway Sciences, 2023 , 2 (2) : 179 -196 . DOI: 10.1108/RS-04-2023-0016
  • the Fund of China Academy of Railway Sciences Corporation Limited(2019YJ041)
Year 2023 volume 2 Issue 2
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Article Info
doi: 10.1108/RS-04-2023-0016
  • Receive Date:2023-04-06
  • Online Date:2026-06-11
  • Published:2023-06-10
Article Data
Affiliations
History
  • Received:2023-04-06
  • Revised:2023-05-16
  • Accepted:2023-05-18
Funding
the Fund of China Academy of Railway Sciences Corporation Limited(2019YJ041)
Affiliations
    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

Corresponding:

Yunjia Wang can be contacted at:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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