Thermal monitoring of railway subgrade in a region of ice-rich permafrost, Yakutia, Russia

Varlamov, Stepan P.

doi:10.1016/j.coldregions.2018.06.016

Cited by 21 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this connection, timely monitoring and decision-making seem to be critical for the sustainable development and economy of Arctic and high-altitude cold regions. Among the target monitoring objects are: highways [8,9]; railway lines [10,11]; airport runways [12,13]; engineering constructions at oil [14] and gas [15] fields; thawing zones around production wells during hydrocarbon extraction [16,17]; oil and gas pipelines [18,19]; fuel storage tanks [20,21]; bridge foundations [22,23]; pile foundations of buildings [24,25]; power transmission lines [26,27].…”

Section: Introductionmentioning

confidence: 99%

Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Glinskikh,

Nechaev,

Mikhaylov

et al. 2024

Mathematics

View full text Add to dashboard Cite

Due to the ongoing global warming on the Earth, permafrost degradation has been extensively taking place, which poses a substantial threat to civil and industrial facilities and infrastructure elements, as well as to the utilization of natural resources in the Arctic and high-latitude regions. In order to prevent the negative consequences of permafrost thawing under the foundations of constructions, various geophysical techniques for monitoring permafrost have been proposed and applied so far: temperature, electrical, seismic and many others. We propose a cross-borehole exploration system for a high localization of target objects in the cryolithozone. A novel mathematical apparatus for three-dimensional modeling of transient electromagnetic signals by the vector finite element method has been developed. The original combination of the latter, the Sumudu integral transform and artificial neural networks makes it possible to examine spatially heterogeneous objects of the cryolithozone with a high contrast of geoelectric parameters, significantly reducing computational costs. We consider numerical simulation results of the transient electromagnetic monitoring of industrial facilities located on permafrost. The formation of a talik has been shown to significantly manifest itself in the measured electromagnetic responses, which enables timely prevention of industrial disasters and environmental catastrophes.

show abstract

Section: Introductionmentioning

confidence: 99%

Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Glinskikh,

Nechaev,

Mikhaylov

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

“…He et al [18][19][20][21][22] explored the influence of the ballast layer, gravel size and thickness, boundary, and other factors on the temperature field of frozen soils based on laboratory experiments. Harris et al [23][24][25][26][27][28] used data measured during field tests to analyze the effects of the gravel layer, ventilation pipes, and insulation layer on the temperature field of natural foundations and highway subgrade. Niu et al [29][30][31][32][33] discussed the influence of the gravel layer, ventilation pipes, insulation layer, thermal pipes, and sun shielding on the temperature of railway subgrade.…”

Section: Introductionmentioning

confidence: 99%

Study of Temperature Field and Structure Optimization for Runways in Permafrost Regions

Liu¹,

Chen²,

Zhou³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

Pavement construction in permafrost regions is complicated by the fact that the permafrost properties are influenced by the temperature and are extremely unstable. The numerical model for runway structures in permafrost regions is applied to analyze the time-space characteristics of the temperature field and the depth of the frozen layer. The influence of the installation layer is studied to enable structural optimization of the runway. Numerical results show that the temperature stabilization depth, low-and high-temperature interlayer response ranges, and maximum depth of the frozen layer are greater in runway engineering than in highway and railway engineering. The time history curves for the pavement and natural surface are similar, and the development of freezing and thawing is approximately linear. The pavement and natural surface have similar thawing rates, but the freezing rate of the natural surface is faster than that of the pavement. The depth of the frozen layer and the time of the frozen are greater for the natural surface than for the pavement. The installation layer helps to stabilize the temperature of the subgrade and reduces the freezing and thawing rates. This study provides technical support for the design and maintenance of runways in permafrost regions. KEYWORDSTemperature; the depth of the frozen layer; structure optimization; runway; permafrost

show abstract

“…The first insulation subgrade was utilized at Kotzebee Airport and Inigok Airport in Alaska, with extruded polystyrene foam used as the insulation material [3]. Both the Qinghai-Tibet Railway and Qinghai-Tibet Highway in China used rigid polyurethane foam and extruded polystyrene foam as insulation materials to maintain temperature field stability of the permafrost subgrade [23][24][25]. To further analyze the effects of various insulation materials, researchers have conducted indoor experiments and numerical simulation studies and discussed the influence of insulation material, thickness, position, and boundary condition on subgrade stability [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Temperature and settlement characteristics of graded crushed-rock layer for runway engineering in permafrost regions

Liu

Fu²,

Li³

2022

PLoS ONE

View full text Add to dashboard Cite

To maintain the temperature and settlement stability of a subgrade, a combination of graded crushed rock layer and insulation layer may be applied to optimize pavement structures. This study verifies a proposed numerical model of pavement and subgrade design in permafrost regions and evaluates temperature and settlement characteristics at different particle size and thickness of graded crushed rock layer and different thickness and location of insulation layer. The results show that the temperature and settlement of the combination of graded crushed-rock layer and insulation layer decrease significantly as the particle diameter and thickness of graded crushed-rock layer increase, and vary little when the thickness of insulation layer is more than 0.15 m. The location of installation layer has significant influence on the temperature of the subbase layer, but has little influence on the temperature of the subgrade. The maximum settlement of the pavement structure and subgrade decreases when the installation layer varies from the top of the subbase layer to the bottom of the subbase layer. The optimal combination of graded crushed-rock layer and insulation layer is that the 0.15 m-thickness installation layer is at the bottom of the 0.50 m-thickness graded crushed-rock layer with the particle size of 6–8 cm. This study provides a theoretical basis for the design, construction, operation, maintenance, and safety management of airport runways in permafrost regions.

show abstract

Thermal monitoring of railway subgrade in a region of ice-rich permafrost, Yakutia, Russia

Cited by 21 publications

References 0 publications

Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Study of Temperature Field and Structure Optimization for Runways in Permafrost Regions

Temperature and settlement characteristics of graded crushed-rock layer for runway engineering in permafrost regions

Contact Info

Product

Resources

About