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

  • Xiaolan Liu ,

    Roles Funding acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing

    1066323835@qq.com

    Affiliation Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin, China

  • Chuanwei Fu,

    Roles Software

    Affiliation Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin, China

  • Shunqun Li

    Roles Funding acquisition

    Affiliation Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin, China

Abstract

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.

1. Introduction

The thermal stability of permafrost is poor, and its settlement frequently causes the cracking, deformation, subsidence, and collapse of engineered structures [1, 2]. Hence, there is an urgent need to improve the thermal stability of runways in permafrost regions. Existing optimization techniques for maintaining subgrade structure stability include the use of rock, thermal probe, ventilation pipeline, crushed-rock, and insulation subgrade [3]. Rock subgrade is laid on the bedrock directly, and its stability can only be controlled by selecting a location with minimal to no permafrost [3]. Hence, rock subgrades have high geological and topographical requirements; it is difficult to ensure the safety of aircraft landing and takeoff, making this measure suitable for small airports with short runways only. A thermal probe subgrade is a tubular cooling device that uses liquid-gas two-phase medium convection circulation to dissipate heat [4, 5]. However, this subgrade is only suitable for a limited time when the outside air temperature is lower than that of the subgrade. Moreover, the insertion length and angle, external radiator characteristics, arrangement scheme, and elevation of the exposed part of the thermal probe can impact aircraft safety. The ventilation pipeline subgrade exchanges heat by convection and conduction and then influences the temperature field by the heat conduction effect of the pipe wall material to control permafrost subgrade stability [6, 7]. However, the construction of the ventilation pipeline subgrade is complex with high maintenance costs, and such subgrade is difficult to maintain and replace. Because both the crushed-rock subgrade and insulation subgrade are convenient and cheap to construct with minimal effect on aircraft safety, an increasing number of researchers have studied the application of crushed-rock and insulation subgrade in airport runways.

The crushed-rock subgrade method uses crushed-rock to replace shallow permafrost, which promotes subgrade stability. For example, 1.5 m-thick crushed-rock subgrade was used in the Alaska Arctic Coastal Plain Airport, 1.8 m-thick crushed-rock subgrade was used in the Brookes Mountain Area Airport, and 3–10 m thick crushed-rock subgrade was used in the Mohe Gulian Airport of China and Yichun Airport of China [8, 9]. Qin and Zhang [10], Qian et al. [11], Liu et al. [12], and Mu et al. [13] discussed the stability of crushed-rock subgrade for highway and railway engineering based on field tests. Because such field tests were characterized by high randomness, long study period, high costs, and topographical and geomorphological limitations, scholars have employed laboratory tests and numerical simulations to further explore the feasibility of crushed-rock subgrade in permafrost regions. Bian et al. [14], Chou et al. [15], and Duan [16] studied the influence of thickness, particle diameter, and boundary effect of crushed-rock on subgrade stability using laboratory tests. Chen et al. [17, 18], Yu et al. [19, 20], Hou [21], and Wang [22] established highway, railway, and airport runway models of the water-heat-force coupling response and analyzed the influence of crushed-rock thickness, particle diameter, and boundary effect to evaluate subgrade stability.

The insulation subgrade method employs insulation materials to reduce heat transfer from the outside to the permafrost to slow permafrost temperature changes and degradation, which is beneficial for maintaining the temperature field stability of the subgrade. 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 [2325]. 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 [2628].

Crushed-rock and insulation subgrades exhibit many advantages for ensuring permafrost subgrade stability. However, crushed-rock subgrade is not suitable for a wide distribution and thick layer of permafrost owing to the limits of excavation, backfill, earthwork volume, and construction costs. The insulation subgrade method prevents the outward transfer of internal heat, but the permeability, strength, thickness, and durability of the insulation material also affect permafrost subgrade stability. In China, the large airport is called “Hub airport”, which refers to the airport with dense international and domestic air routes, the node of the central air route network, and also the distribution center of air passenger and cargo transport. The main features of the large airport are a high proportion of transit operations and efficient flight connectivity, where passengers can easily transfer to other airports. Hence, the large airport needs to meet 4F-class airport standards, can take off and land the aircraft of A380-800. And the 4F-class airport is an airport with an available runway length of 3600 m or more, a wingspan of 65–80 m for the largest aircraft available, and a distance of 14-16m from the outer wheels of the main landing gear under standard conditions. Therefore, it is necessary to determine the optimal combination of crushed-rock and insulation subgrades in the large airport. This study established and verified a runway model for large airports and analyzed the influence of crushed-rock layer thickness and particle diameter, and insulation layer thickness and location on subgrade stability. Finally, this paper proposed optimization parameters for combined crushed-rock and insulation subgrade in permafrost regions. The research findings provide valuable information informing the design, construction, operation, maintenance, safety, and management of airports in permafrost regions.

2. Conditions for solving numerical simulations

2.1 Heat conduction equations

The runway is disturbed by solar radiation and precipitation, geological lithology, and the water content of its structural layer and its lower soil layer. Therefore, to optimize the model, improve its computational efficiency, and ensure the effectiveness of the results, the following practical assumptions are made: (1) The layers of the pavement, natural surface, and subgrade are uniform and isotropic. (2) The boundary of each structural layer does not permit moisture migration. (3) The pavement, natural surface, and subgrade layers obey the law of energy conservation and feature only the effects of the heat transfer. Harlan and Taylor propose an equation for the material migration during freezing and thawing. Three-dimensional (3D) unsteady heat conduction can be expressed by Eq (1) [29]: (1) where C is the heat capacity, T is the temperature, t is the time, L is the transformed latent heat of water, 334560 J (m)-3, ρi is the density of ice, 0.917×103 kg (m)-3, wi is the volume fraction of ice, and kx, ky, and kz are components of thermal conductivity.

During the freezing and thawing of soil, 3D mass transfer can be expressed by Eq (2) when evaporation and other factors are ignored [19]: (2) where wu is the volume fraction of unfrozen water; ρw is the density of ice, 1×103 kg (m)-3; Kx, Ky, and Kz are the components of hydraulic conductivity; φ is the total potential energy, equal to ϕ and h; ϕ is the volumetric potential energy; and h is the gravitational potential, which is ignored.

The content of unfrozen water is the mass ratio of unfrozen water to soil particles at a certain negative temperature, as shown in Eq (3): (3)

Eq (4) can be obtained based on Eqs (1), (2), and (3).

(4)

The volumetric potential of unfrozen water at different temperatures can be determined according to the relationship between temperature and content of unfrozen water and the characteristic curve of water, as shown in Eq (5): (5)

Eq (6) can be obtained by substituting the differential water capacity and water diffusion coefficient into Eq (5). Eq (7) can be obtained by using Eq (6) in Eq (4). (6) (7) where δ is the differential capacity of water, D is the coefficient of diffusion of water, and K is the hydraulic conductivity.

Finally, Eq (7) can be transformed into a solution for 3D nonlinear equations, as shown in Eqs (8)–(12): (8) (9) (10) (11) (12) where C(T) is the equivalent heat capacity, and λx(T), λy(T), and λz(T) are the equivalent thermal conductivities.

2.2 Boundary conditions

The first boundary condition is established based on the surface temperature of the permafrost region and is applied to the surface in the numerical models, as shown in Eq (13) [18]. (13) where T0 is the mean annual ground temperature of the boundary layer, taken as the mean annual air temperature; ΔT is the increment in the temperature of the boundary layer, which is set to 2.5°C for the natural surface and 4.5°C for the pavement; a is the amplitude of variation in temperature, which is set to 12°C for the natural surface and 15°C for the pavement; t is the time in hours; b is the initial phase, equal to zero at the initial set time of April 1 in northeast China; and α is the increment in the global temperature over the next 30 years, which is set to 1.5°C.

The second boundary condition is an adiabatic boundary condition that is applied on both sides of the numerical models, as shown in Eq (14) [30]: (14)

The third boundary condition is a constant temperature gradient of 0.03°C (m). This is applied at the bottom of the numerical models, as shown in Eq (15) [31].

(15)

2.3 Parameters of aircraft

The configuration of the main landing gear is shown in Fig 1, and the aircraft parameters are listed in Table 1 [32].

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Fig 1. Configuration of the main landing gear of A380-800 (unit: m).

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3. Numerical simulations

3.1 Numerical model

As shown in Fig 2, the results of an engineering geological survey indicated that the natural surface consisted of 0.4 m clay soil, 1.6 m silty clay soil, and 18 m strongly weathered rock [33]. According to the design specifications of asphalt pavements for civil airports, the structure of the pavement comprised an upper surface, under surface, upper base layer, under base layer, and subbase layer. To eliminate the boundary effect, a 40 m-wide natural surface was placed on both sides of the pavement structure. For the numerical model, the pavement structure was 45 m wide and 15 m long. Its depth was along the y direction, its width was along the x direction, and its length was along the z direction.

The calculation time was 10 years. The boundary conditions of the numerical model were determined using Eqs (13), (14), and (15). The bottom of the strongly weathered rock layer denied any degree of freedom. The edges of the layers of strongly weathered rock, silty clay soil, and clay soil were constrained along the structure’s length and width. The initial temperature field was set to -1°C [16]. The apparent heat capacity method was used to simulate the phase change that occurred within a certain temperature range. The thermal parameters of the weathered rock, silty clay soil, clay soil, and pavement layers are listed in Tables 2 and 3 [33]. A uniformly distributed rectangular load was applied to simulate the static load of the A380-800 aircraft, arranged symmetrically along the centerline of the upper surface. The Mohr-Coulomb constitutive model was used to characterize the elastoplastic behavior of the strongly weathered rock, silty clay soil, and clay soil. Reference [33] had shown that the mechanical parameters of permafrost were closely related to the temperature, and could be solved by Eqs (16)–(19). The dilatancy angle could be taken as half of the friction angle. The elastic modulus, Poisson’s ratio, cohesion, frictional angle, and dilatancy angle are shown in Table 4. The coefficients of expansion of the strongly weathered rock, silty clay soil, and clay soil layers are listed in Table 5 [33]. The mechanical parameters of the pavement structure layers are listed in Tables 6 and 7 [33].

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Table 2. Thermal parameters of layers of strongly weathered rock, silty clay soil, and clay soil.

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Table 3. Thermal parameters of layers of the pavement structure.

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Table 4. Mechanical parameters of the strongly weathered rock, silty clay soil, and clay soil.

https://doi.org/10.1371/journal.pone.0274843.t004

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Table 5. Expansion coefficients of layers of strongly weathered rock, silty clay soil, and clay soil.

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Table 6. Mechanical parameters of pavement structure layers.

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(16) (17) (18) (19) where E is the elastic modulus; ν is the Poisson’s ratio; c is the cohesion; θ is the friction angle; and a1, a2, a3, a4, b1, b2, b3, and b4 are the regression coefficients. When T is not less than zero, b1, b2, b3, and b4 are all equal to zero. m is the index, which is set at 0.6.

3.2 Verifying the numerical model

Owing to a lack of monitoring data on runways, the reliability of the numerical model was verified through a comparison with previously proposed models in terms of the temperature field, frozen layer depth, and settlement without considering aircraft load. Transient thermal analysis of the runway was conducted over 10 years based on the initial temperature field. The temperature field after 10 years of operation in northeast China is shown in Fig 3. The change in the depth of the frozen layer with respect to time after 10 years of operation is shown in Fig 4. The displacement field after one year of operation is shown in Fig 5.

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Fig 3. Temperature field after 10 years of operation in the northeast of China.

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Fig 4.

Depth of the frozen layer after 10 years of operation at (a) the center and (b) edge of the pavement.

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Fig 5. Displacement field after one year of operation in the northeast of China.

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Fig 3 showed that the maximum depth of the frozen pavement layer was obtained on the 346th day, after the air temperature had reached its maximum value at the end of March in the second year. The appearance time of the maximum depth of the frozen pavement layer in Fig 3 accorded with those reported by Liu et al. [12] and Wang [34]. Fig 4 showed that the pavement began to freeze in the middle of October, and its frozen layer reached its maximum depth at the end of March. It began to thaw at the beginning of April and had thawed completely by the end of April. The freeze-thaw characteristics and temporal regularity of the pavement in Fig 4 were consistent with those reported by Li [33] and Duan [16]. However, the maximum depth of the frozen pavement layer in runway engineering was about 3.35 m, deeper than 2.67–3.05 m in highway and railway engineering. The maximum depth of the frozen layer in Fig 4 was consistent with 3.15–3.65 m reported by Bjella [35] as well as by Simon and Dilley [36]. Fig 5 showed that the maximum settlement of the pavement occurred on the 40th day after the air temperature had reached its maximum value in the middle of August. Maximum settlement was observed for the pavement and natural surface at 0.023 m and 0.098 m, respectively, in runway engineering. The maximum settlement characteristics and temporal regularity in Fig 5 were in accord with those reported by LeBlanc et al. [37]. Therefore, the parameters and boundary conditions of the model of the runway structure were reasonable, indicating its applicability for analyzing the response of permafrost runways to settlement.

4. Results and discussion

4.1 Changes in temperature

As shown in Fig 2, the thickness of the subbase layer remains the same, and the particle size, density, and thermal parameters of the subbase layer are varied, as shown in Table 8. The parameters of the installation layer are listed in Table 9 [34]. When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 4–6 cm, the time-dependent temperature curves are shown in Fig 6 and the depth-dependent temperature curves are shown in Fig 7.

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Fig 6.

Temperature-time curves at the (a) pavement center and (b) natural surface center.

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Fig 7.

Temperature-depth curves at the (a) pavement center and (b) natural surface center.

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As shown in Fig 6, as depth increased, the temperature amplitudes of the pavement and natural surface gradually decreased with phase delay. This phenomenon occurred because much of the heat in the pavement did not dissipate quickly and required a long time to gradually dissipate. Moreover, the temperature gradually decreased as the heat conduction depth increased. Finally, the pavement and natural surface reached a new thermal dynamic equilibrium after five or six years. In addition, the temperatures of the pavement and natural surface exhibited a slight rising trend owing to the impact of global climate change.

Fig 6(A) and 6(B) indicated that the temperature of the pavement was higher than that of the natural surface at the same depth and time. The difference in the highest temperature of the pavement and that of the natural surface was approximately 5°C, whereas the difference in the lowest temperature for each was approximately 1°C. The phase delay in the runway was greater than that in highways and railways. This was because both the solar absorption coefficient and the quantity of heat absorbed by the pavement were greater than those of the natural surface. Furthermore, the runway was wider than a highway or railway. Therefore, heat absorption area was larger, making the quantity of heat absorbed by the runway greater than that absorbed by the highway or railway and leading to a longer time required for heat dissipation.

As shown in Fig 6(A), when the depth was 0.95 m (bottom of the under base layer), the temperature of the pavement varied from -8.2°C to 15.1°C. When the depth was 1.45 m (bottom of the subbase layer), the temperature of the pavement varied from -3.1°C to 9.0°C. Therefore, the subbase layer of the graded crushed-rock could significantly reduce the temperature range of the time-dependent curve and was beneficial for maintaining the temperature stability of the subgrade.

As shown in Fig 7, the temperature envelopes of the pavement and natural surface remained funnel-shaped over the year. The temperature ranges of the pavement and natural surface decreased as depth increased and tended to be constant. The upper temperature-depth curves of the pavement and natural surface that were shifted to the left indicated that low-temperature interlayers existed in the pavement structure and natural surface. Similarly, the upper temperature-depth curves that were shifted to the right indicated that high-temperature interlayers existed in the pavement structure and natural surface. These temperature characteristics were similar to those observed in highway and railway engineering [28, 34]. As shown in Fig 7(A), when the depth was 1.45 m (bottom of the subbase layer), the temperature of the pavement showed a steep decline. This phenomenon was similar to that shown in Fig 6(A) and also indicated that the subbase layer of the graded crushed-rock was suitable for reducing the temperature range of the depth-dependent curve to maintain temperature stability in the subgrade.

When the particle sizes of the subbase layers were 6–8 cm and 10–15 cm, the evolution laws of temperature-time and temperature-depth curves were similar to those shown in Figs 6 and 7, respectively. Hence, the data presented in Table 10 were used to further compare the temperature range when the particle size of the subbase layer varied from 4–6 cm to 10–15 cm.

Table 10 showed that the particle size of the subbase layer had almost no effect on the temperature of the natural surface center. When the particle size of the subbase layer ranged from 4–6 cm to 10–15 cm, the temperature range of the pavement center decreased at the depth of 0.3–6.45 m. This occurred because the graded crushed-rock hindered the downward transfer of heat from the pavement structure and maintained the temperature stability of the subgrade. Moreover, when the thickness of the subbase layer was the same, the cooling effect of the graded crushed-rock slightly increased with increasing particle diameter of the graded crushed-rock. However, when the particle size of the subbase layer increased from 6–8 cm to 10–15 cm, the porosity and cooling effect of the subbase layer increased slightly with the growth of the particle size of the subbase layer. And the particle size of 10–15 cm was not suitable for construction and leveling in runway engineering. Therefore, the optimization particle size of the subbase layer was 6–8 cm, which was beneficial to maintain the temperature stability of the subgrade and was convenient for the construction of runway engineering.

When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the particle size of the subbase layer is 6–8 cm, the time-dependent temperature curves at different thickness of the subbase layer are shown in Fig 8.

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Fig 8.

Temperature-time curves of pavement center at the subbase layer thickness of (a) 0.10 m, (b) 0.30 m, and (c) 0.50 m.

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Fig 8 showed that the temperature range of the pavement center was similar at the top of the subbase layer. When the subbase layer thickness was 0.10 m, the temperature at the depth of 0.95 m (bottom of the under base layer) was almost the same as that at the depth of 1.05 m (bottom of the subbase layer). When the subbase layer thickness exceeded 0.10 m, the temperature at the bottom of the subbase layer was significantly less than the temperature at the bottom of the under base layer. Hence, the thin graded crushed-rock had little effect on the temperature stability of the subgrade.

Both the temperature and temperature range of the pavement center decreased as subbase layer thickness increased. When the subbase layer thickness varied from 0.10 m to 0.50 m, the maximum temperature at the bottom of the subbase layer decreased by 4.7°C, and the minimum temperature at the bottom of the subbase layer decreased by 3.5°C. As the subbase layer thickness increased from 0.10 m to 0.50 m, the temperature amplitude below the subbase layer varied by decreasing amounts as depth increased. When the depth was 5 m below the subgrade, the maximum and minimum temperatures changed by 0.6°C and 0°C respectively as the subbase layer thickness increased from 0.10 m to 0.50 m. Hence, the increase in the thickness of the graded crushed-rock maintained a reduced temperature of the subgrade, and the cooling effect of the graded crushed-rock gradually diminished as depth increased. Hence, the optimization thickness of the subbase layer was 0.50 m, which was beneficial to maintain the temperature stability of the subgrade and ensure the settlement of replacement construction.

When the installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent temperature curves at different thickness of installation layer are shown in Fig 9.

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Fig 9.

Temperature-time curves of pavement center at the installation layer thickness of (a) 0.10 m, (b) 0.15 m, and (c) 0.20 m.

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Fig 9(A) showed that when the installation layer thickness was 0.10 m, the temperature at the depth of 1.45 m (bottom of the subbase layer) was almost the same as that at the depth of 1.55 m (bottom of the installation layer). Fig 9(B) showed that when the installation layer thickness was 0.15 m, the temperature at the depth of 1.45 m (bottom of the subbase layer) was significantly more than the temperature at the depth of 1.60 m (bottom of the installation layer). Fig 9(C) showed that when the installation layer thickness was 0.20 m, the time-dependent temperature curve was similar to that of the installation layer thickness of 0.15 m. The was because the installation layer prevented the transmission of heat. Thus, the temperature at the top of the installation layer was similar to the temperature of the subbase layer, whereas the temperature at the bottom of the installation layer was close to the temperature of the subgrade. Therefore, the optimization installation layer thickness was 0.15 m, which was beneficial to maintain the temperature stability of the subgrade and economy in manpower and material resources.

When the thickness of installation layer is 0.15 m and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent temperature curves at different location of installation layer are shown in Fig 10.

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Fig 10.

Temperature-time curves of pavement center with the installation layer at (a) the top of the subbase layer, (b) the middle of the subbase layer, and (c) the bottom of the subbase layer.

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Fig 10(A) showed that when the installation layer was at the top of the subbase layer, the temperature at the depth of 1.1 m (bottom of the installation layer) was significantly lower than that at the depth of 0.95 m (top of the installation layer), and was about 2.5°C higher than that at the depth of 1.6 m (bottom of the subbase layer). Fig 10(B) showed that when the installation layer was at the middle of the subbase layer, the temperature at the depth of 1.35 m (bottom of the installation layer) was significantly less than the temperature at the depth of 1.2 m (top of the installation layer), and was about 1.25°C higher than that at the depth of 1.6 m (bottom of the subbase layer). Fig 10(C) showed that when the installation layer was at the bottom of the subbase layer, the temperature at the depth of 1.6 m (bottom of the installation layer) was significantly less than the temperature at the depth of 1.45 m (top of the installation layer). Fig 10 showed that the location of installation layer had significant influence on the temperature of the subbase layer, but had little influence on the temperature of the subgrade. The was because the installation layer prevented the transmission of heat, and the temperature at the bottom of the installation layer was close to the temperature of the subbase layer or subgrade. Hence, the optimization location of installation layer was at the bottom of the subbase layer, which was beneficial to maintain the temperature stability of the subgrade and improve the depth of the frozen layer.

4.2 Changes in settlement

As shown in Fig 2, the thickness of the subbase layer remains the same, and the particle size, density, and thermal parameters of the subbase layer are varied, as shown in Table 8. The parameters of the installation layer are listed in Table 9 [34]. When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 4–6 cm, the time-dependent settlement curves are shown in Fig 11 and the depth-dependent settlement curves are shown in Fig 12.

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Fig 11.

Settlement-time curves at the (a) pavement center and (b) natural surface center.

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Fig 12.

Settlement-depth curves after 10 years of operation at the (a) pavement center and (b) natural surface center.

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As shown in Fig 11, as the depth increased, the settlement amplitudes of the pavement and the natural surface gradually decreased with phase delay. This phenomenon occurred because much of the settlement in the pavement did not dissipate quickly and required a long time to develop gradually. Moreover, settlement gradually decreased as the depth increased. Finally, the settlement amplitudes of the pavement and the natural surface gradually decreased over time. Over the first five years, the settlement of the pavement center ranged from -0.023 m to -0.030 m, and the average annual amplitude of the settlement was 0.14 cm/year. However, the settlement of the natural surface ranged from -0.092 m to -0.100 m in the first five years. Subsequently, the pavement and natural surface reached a new settlement dynamic equilibrium after five or six years. This occurred because the temperature of the subgrade increased rapidly in the five years after the pavement structure was built. In this stage, pavement settlement occurred primarily due to the thermal disturbance of the pavement structure. Therefore, the low-temperature permafrost under the subgrade turned into permafrost at high temperatures with high ice content. The instability of this permafrost accelerated settlement. Five years later, the influence of external temperature on the natural surface became evident, and the high-temperature permafrost was in the stage of slow, linear warming. Owing to the continual melting of part of the permafrost, deformation did not continue. Therefore, the settlement of the subgrade gradually decreased.

Fig 11(A) and 11(B) indicated that pavement settlement was higher than that of the natural surface at the same depth and time. The difference in the highest settlement values for the pavement and natural surface was approximately 0.068 m, whereas the difference in the lowest temperatures for each was approximately 0.025 m. As shown in Fig 11(A), when the depth was 0.95 m (bottom of the under base layer), pavement settlement varied from -0.032 m to 0 m. When the depth was 1.45 m (bottom of the subbase layer), pavement settlement varied from -0.01 m to 0 m. Therefore, the subbase layer of the graded crushed-rock significantly reduced the settlement range of the time-dependent curve and was beneficial for maintaining the settlement stability of the subgrade. When the depth was 3.45 m (2 m below the subgrade), pavement settlement had a positive value, indicating that frost deformation occurred. Moreover, frost deformation became increasingly obvious, and the positive value of the settlement increased as depth increased.

In Fig 12, the ranges of the maximum settlement at the pavement and natural surface decreased as depth increased and tended to 0 m. In Fig 12(A), the settlement of the pavement center was small when the depth varied from 0 m to 1.45 m (bottom of the subbase layer) and then increased when the depth was in 1.45 m to 2 m. This occurred because the settlement mainly appeared in the subgrade instead of the pavement structure. When the depth ranged from 5.5 m to 20 m, the settlement of the pavement had a positive value of 0–0.004 m. This phenomenon was similar to that shown in Fig 11(A) and also indicated that the subbase layer of the graded crushed-rock effectively reduced the settlement range of the depth-dependent curve to maintain the settlement stability of the subgrade. Fig 12(A) also showed that the total settlement after 10 years of operation was -0.032 m. The settlement at a depth of 2 m was -0.025 m, accounting for 78% of the total settlement. In Fig 12(B), the settlement of the natural surface center mainly occurred in the range of 0–2 m, which was consisted of clay soil at high temperatures with high ice content and high melting-induced compressibility. The total settlement after 10 years of operation was -0.100 m. The settlement at a depth of 2 m was -0.091 m, which accounted for 91% of the total settlement.

When the particle sizes of the subbase layer were 6–8 cm and 10–15 cm, the evolution laws of the settlement-time and settlement-depth curves were similar to those shown in Figs 11 and 12, respectively. Hence, Table 11 was applied to further compare the settlement range when the particle size of the subbase layer varied from 4–6 cm to 10–15 cm.

Table 11 showed that the particle size of the subbase layer had almost no effect on the settlement of the natural surface center. When the particle size of the subbase layer ranged from 4–6 cm to 10–15 cm, the settlement range of the pavement center increased at the depth of 0.3–0.95 m and decreased at the depth of 1.4–6.45 m. This occurred because the graded crushed-rock was beneficial for maintaining the settlement stability of the subgrade. Moreover, when the depth was the same, the settlement range of the pavement center decreased as the particle size of the graded crushed-rock increased. When the depth exceeded 2.45 m, pavement settlement had a positive value, which might have been caused by frost deformation. However, when the particle size of the subbase layer increased from 6–8 cm to 10–15 cm, the porosity and cooling effect of the subbase layer increased slightly with the growth of the particle size of the subbase layer. And the particle size of 10–15 cm was not suitable for construction and leveling in runway engineering. Therefore, the optimization particle size of the subbase layer was 6–8 cm, which was beneficial to maintain the settlement stability of the subgrade and was convenient for the construction of runway engineering.

When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the particle size of the subbase layer is 6–8 cm, the time-dependent settlement curves at different thickness of the subbase layer are shown in Fig 13.

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Fig 13.

Settlement-time curves of pavement center with subbase layer thickness of (a) 0.10 m, (b) 0.30 m, and (c) 0.50 m.

https://doi.org/10.1371/journal.pone.0274843.g013

Fig 13 represented that the settlement decreased as subbase layer thickness increased. Because the increase of the subbase layer thickness was beneficial to maintain the temperature stability of the subgrade and reduce pavement settlement. Moreover, when the subbase layer thickness ranged from 0.10 m to 0.30 m, the positive value of the settlement occurred from 3.05 m (2 m below the subgrade) to 4.25 m (3 m below the subgrade). When the subbase layer thickness ranged from 0.30 m to 0.50 m, the positive value of the settlement occurred from 4.25 m (3 m below the subgrade) to 5.45 m (4 m below the subgrade). This phenomenon also indicated that increasing the subbase layer thickness reduced settlement and maintained subgrade stability. Hence, the optimization thickness of the subbase layer was 0.5 m, which was beneficial to maintain the settlement stability of the subgrade and ensure the settlement of replacement construction.

When the installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent settlement curves at different thickness of installation layer are shown in Fig 14.

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Fig 14.

Settlement-time curves of pavement center at the installation layer thickness of (a) 0.10 m, (b) 0.15 m, and (c) 0.20 m.

https://doi.org/10.1371/journal.pone.0274843.g014

Fig 14 represented that the settlement decreased as installation layer thickness increased. Because the increase of the installation layer thickness was beneficial to prevent the transmission of heat and reduce pavement settlement. Moreover, Fig 14(A) showed that when the installation layer thickness was 0.10 m, the positive value of the settlement occurred at 3.55–6.55 m (2–5 m below the subgrade). Fig 14(B) showed that when the installation layer thickness was 0.15 m, the negative value of the settlement occurred at the pavement structure and subgrade. Fig 14(C) showed that when the installation layer thickness was 0.20 m, the time-dependent settlement curve was similar to that of the installation layer thickness of 0.15 m. This phenomenon also indicated that increasing the installation layer thickness reduced settlement and maintained subgrade stability. Hence, the optimization installation layer thickness was 0.15 m, which was beneficial to maintain the settlement stability of the subgrade and economy in manpower and material resources.

When the thickness of installation layer is 0.15 m and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent settlement curves at different location of installation layer are shown in Fig 15.

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Fig 15.

Settlement-time curves of pavement center with the installation layer at (a) the top of the subbase layer, (b) the middle of the subbase layer, and (c) the bottom of the subbase layer.

https://doi.org/10.1371/journal.pone.0274843.g015

Fig 15 showed that the negative value of the settlement occurred at the pavement structure and subgrade when the thickness of installation layer was 0.15 m. The maximum settlement of the pavement structure and subgrade decreased when the installation layer varied from the top of the subbase layer to the bottom of the subbase layer. The was because the installation layer prevented the transmission of heat, reduced settlement and maintained subgrade stability. Hence, the optimization location of installation layer was at the bottom of the subbase layer, which was beneficial to maintain the settlement stability of the subgrade.

4.3 Changes in settlement under the static load of the aircraft

As shown in Fig 2, the thickness of the subbase layer remains the same, and the particle size, density, and thermal parameters of the subbase layer are varied, as shown in Table 8. The parameters of the installation layer are listed in Table 9 [34]. When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 4–6 cm, the time-dependent curves of settlement are shown in Fig 16 and the depth-dependent curves of settlement are shown in Fig 17.

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Fig 16.

Settlement-time curves under the static load of the aircraft at the (a) pavement center and (b) natural surface center.

https://doi.org/10.1371/journal.pone.0274843.g016

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Fig 17.

Settlement-depth curves under the static load of the aircraft after 10 years of operation at the (a) pavement center and (b) natural surface center.

https://doi.org/10.1371/journal.pone.0274843.g017

As shown in Fig 16, as the depth increased, the settlement amplitudes of the pavement and natural surface gradually decreased with phase delay. This phenomenon occurred because pavement settlement required a long time to develop. Moreover, the settlement gradually decreased as depth increased. Finally, the pavement and natural surface reached a new settlement dynamic equilibrium after five or six years. Fig 16(A) and 16(B) indicated that the settlement of the pavement was higher than that of the natural surface at the same depth and time. The difference in the highest settlement of the pavement and natural surface was approximately 0.066 m.

The settlement of the pavement center shown in Fig 16(A) was slightly larger than that shown in Fig 11(A). This was because the settlement caused by the static load of the aircraft was less than that caused by temperature. When the depth was 0.95 m (bottom of the under base layer), the settlement of the pavement varied from -0.034 m to 0 m. When the depth was 1.45 m (bottom of the subbase layer), the settlement of the pavement varied from -0.01 m to 0 m. Therefore, the subbase layer of the graded crushed-rock could significantly reduce the settlement range of the time-dependent curve and was beneficial for maintaining the settlement stability of the subgrade. When the depth was 4.45 m (3 m below the subgrade), the settlement of the pavement had a positive value, indicating that frost deformation occurred. Moreover, frost deformation became increasingly obvious, and the settlement of the positive value increased with increasing depth.

As shown in Fig 17, the ranges of the maximum settlement at the pavement and natural surface decreased as depth increased and tended toward 0 m. Fig 17(A) showed that when the depth ranged from 5.5 m to 20 m, the settlement of the pavement had a positive value of 0–0.004 m. This phenomenon was similar to that shown in Fig 16(A) and also indicated that the subbase layer of the graded crushed-rock was beneficial for reducing the settlement range of the depth-dependent curve to maintain the settlement stability of the subgrade.

When the particle size of the subbase layer was 6–8 cm and 10–15 cm, the evolution laws of the settlement-time and settlement-depth curves were similar to those shown in Figs 16 and 17, respectively. Hence, the data shown in Table 12 were used to further compare the settlement range when the particle size of the subbase layer varied from 4–6 cm to 10–15 cm.

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Table 12. Settlement of varied subbase layer under the static load of the aircraft.

https://doi.org/10.1371/journal.pone.0274843.t012

Table 12 showed when the particle size of the subbase layer was from 4–6 cm to 10–15 cm, the settlement range of the pavement center increased at the depth of 0.3–0.95 m and decreased at the depth of 1.45–6.45 m because the graded crushed-rock maintained the temperature and settlement stability of the subgrade. Moreover, when the depth was the same, the settlement range of the pavement center decreased as the particle size of the graded crushed-rock increased. When the depth exceeded 2.45 m, the settlement of the pavement had a positive value, which might have been caused by frost deformation. The settlement of the negative value in Table 12 was larger than that in Table 11. The settlement of the positive value at a depth of 3.45–6.45 m was slightly smaller than that in Table 11. Thus, the static load of the aircraft increased the negative settlement and reduced the positive settlement caused by frost deformation. However, when the particle size of the subbase layer increased from 6–8 cm to 10–15 cm, the porosity and cooling effect of the subbase layer increased slightly with the growth of the particle size of the subbase layer. And the particle size of 10–15 cm was not suitable for construction and leveling in runway engineering. Therefore, the optimization particle size of the subbase layer was 6–8 cm, which was beneficial to maintain the settlement stability of the subgrade and was convenient for the construction of runway engineering.

When the 0.10 m-thickness installation layer is at the bottom of the subbase layer and the particle size of the subbase layer is 6–8 cm, the time-dependent settlement curves at different thickness of the subbase layer are shown in Fig 18.

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Fig 18.

Settlement-time curves of pavement center under the static load of the aircraft at subbase layer thicknesses of (a) 0.10, (b) 0.30, and (c) 0.50 m.

https://doi.org/10.1371/journal.pone.0274843.g018

Fig 18 showed that the evolution of settlement under the static load of the aircraft was similar to that of Fig 13. However, the settlement range under the static load of the aircraft was slightly larger than that of Fig 13. The settlement increased over time and then tended to stabilize after 5 to 6 years of operation. When the subbase layer thickness ranged from 0.10 m to 0.50 m, the settlement significantly decreased at the pavement structure layers and slightly reduced at the subgrade. Moreover, when the subbase layer thickness ranged from 0.10 m to 0.30 m, the positive value of the settlement occurred from 3.05 m (2 m below the subgrade) to 4.25 m (3 m below the subgrade). When the subbase layer thickness ranged from 0.30 m to 0.50 m, the settlement had a positive value from 4.25 m (3 m below the subgrade) to 5.45 m (4 m below the subgrade). This phenomenon also indicated that the increase of the subbase layer thickness had an effect on reducing the settlement and maintaining the stability of the subgrade. Hence, the optimization thickness of the subbase layer was 0.5 m, which was beneficial to maintain the settlement stability of the subgrade and ensure the settlement of replacement construction.

When the installation layer is at the bottom of the subbase layer and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent settlement curves at different thickness of installation layer are shown in Fig 19.

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Fig 19.

Settlement-time curves of pavement center under the static load of the aircraft at the installation layer thickness of (a) 0.10 m, (b) 0.15 m, and (c) 0.20 m.

https://doi.org/10.1371/journal.pone.0274843.g019

Fig 19 represented that the settlement decreased as installation layer thickness increased and the absolute value of the settlement was slightly larger than that of Fig 14. Because the increase of the installation layer thickness was beneficial to prevent the transmission of heat and reduce pavement settlement. Moreover, the settlement of Fig 19 caused by the temperature and the static load of the aircraft.

Fig 19(A) showed that when the installation layer thickness was 0.10 m, the positive value of the settlement occurred at 4.55–6.55 m (3–5 m below the subgrade). Fig 19(B) showed that when the installation layer thickness was 0.15 m, the negative value of the settlement occurred at the whole runway structure. Fig 19(C) showed that when the installation layer thickness was 0.20 m, the time-dependent settlement curve was similar to that of the installation layer thickness of 0.15 m. This phenomenon indicated that increasing the installation layer thickness reduced settlement and maintained subgrade stability. Hence, the optimization installation layer thickness was 0.15 m, which was beneficial to maintain the settlement stability of the subgrade and economy in manpower and material resources.

When the thickness of installation layer is 0.15 m and the 0.50 m-thickness subbase layer is the particle size of 6–8 cm, the time-dependent settlement curves at different location of installation layer are shown in Fig 20.

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Fig 20.

Settlement-time curves of pavement center under the static load of the aircraft with the installation layer at (a) the top of the subbase layer, (b) the middle of the subbase layer, and (c) the bottom of the subbase layer.

https://doi.org/10.1371/journal.pone.0274843.g020

Fig 20 showed that the negative value of the settlement occurred at the whole runway structure and the absolute value of the settlement was slightly larger than that of Fig 15. Because the settlement of Fig 20 caused by the temperature and the static load of the aircraft. The maximum settlement of the pavement structure and subgrade decreased when the installation layer varied from the top of the subbase layer to the bottom of the subbase layer. The was because the installation layer prevented the transmission of heat, reduced settlement and maintained subgrade stability. Hence, the optimization location of installation layer was at the bottom of the subbase layer, which was beneficial to maintain the settlement stability of the subgrade.

5. Conclusions

In this study, a numerical model of the structure of the pavement and subgrade in permafrost regions is developed through a comparison with previous models in terms of the characteristics of the temperature field, frozen layer depth, and settlement without considering aircraft load. This study also analyzes the temperature and settlement of different pavement structures. The main conclusions are as follows:

  1. When the combination of graded crushed-rock layer and insulation layer is included in the subgrade, the temperature amplitudes of the pavement and natural surface gradually decrease with some phase delay as depth increases. The temperature amplitudes of the pavement at the bottom of the combination of graded crushed-rock layer and insulation layer vary significantly and are smaller than those at the bottom of the base layer. The temperature ranges of the pavement and natural surface decrease with increasing depth and tend to be constant. The cooling effect of the combination of graded crushed-rock layer and insulation layer is enhanced with an increase in the particle diameter and thickness of graded crushed-rock layer and the thickness of insulation layer. Moreover, 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.
  2. The combination of graded crushed-rock layer and insulation layer can significantly reduce the settlement range of the time-dependent curve and maintain the settlement stability of the subgrade. The settlement range of the pavement center decreases as the particle diameter and thickness of graded crushed-rock layer and the thickness of insulation layer increases. When the depth exceeds 2.45 m, pavement settlement is a positive value due to the effect of frost deformation. 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.
  3. The evolution of the settlement under the static load of the aircraft is similar to that of the no-aircraft case. The settlements at the pavement and natural surface centers decrease with increasing depth and tend to zero. The settlement decreases with increasing the particle diameter and thickness of graded crushed-rock layer and the thickness of insulation layer. 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. However, the graded crushed-rock layer particle size of 10–15 cm is not suitable for construction and leveling in runway engineering and increasing the porosity and cooling effect of the subbase layer slightly. And the time-dependent temperature and settlement curves are similar at the installation layer thickness of 0.15 m and 0.20 m. The optimization particle size of the subbase layer is 6–8 cm, the optimization thickness of the subbase layer is 0.5 m, the optimization thickness of the installation layer is 0.15 m, and the optimization location of installation layer is at the bottom of the subbase layer.

References

  1. 1. Mahedi M, Cetin B, Cetin KS. Freeze-thaw performance of phase change material (PCM) incorporated pavement subgrade soil. Constr Build Mater. 2019;202: 449–464.
  2. 2. Liu ZY, Cui FQ, Chen JB, Jin L, Wang W, Zhang W. Study on the permafrost heat transfer mechanism and reasonable interval of separate embankment for the Qinghai-Tibet expressway. Cold Reg Sci Technol. 2020;170: 102952.
  3. 3. Liu WB, Yu WB, Chen L, Yi X, Han FL, Hu D. Techniques of airport runway construction in permafrost regions: A review [In China] Journal of Glaciology and Geocryology. 2015;37: 1599–1610.
  4. 4. Li B, Cai LC, Zhang LL. Treatment analysis of permafrost soil ground in airport engineering [In China] Building Science Research of Sichuan. 2010;36: 104–106.
  5. 5. Jin L, Wang SJ, Mu K, et al. Cooling effect of thermosyhpon subgrade for Qinghai-Tibet [In China] Journal of Traffic and Transportation Engineering. 2016;16: 45–58.
  6. 6. Yang LJ, Sun BX, Wang W, et al. Impact of top boundaries on cooling effect of crushed rock embankment embedded a perforated ventilation pipe [In China] Rock and Soil Mechanics. 2013;34: 2945–2953.
  7. 7. Qi WK. Study on cooling technology for control of runway base temperature field in permafrost region. China: Tianjin: Civil Aviation University of China; 2020.
  8. 8. Jin HJ, Brewer MC. Experiences and lessons learned in the engineering design and construction in the Alaska Arctic. J Glaciol Geocryol. 2005;27(1): 140–146.
  9. 9. He RX, Jin HJ, Ma FJ, et al. Recent progress in studying permafrost and cold regions’ environment in the Hola basin of north Greater Khingan Mountains. J Glaciol Geocryol. 2015;37: 109–117.
  10. 10. Qin YH, Zhang JM. Estimating the stability of unprotected embankment in warm and ice-rich permafrost region. Cold Reg Sci Technol. 2010;61: 65–71.
  11. 11. Qian J, Yu QH, You YH, Hu J, Guo L. Analysis on the convection cooling process of crushed-rock layer embankment of high-grade highway in permafrost regions. Cold Reg Sci Technol. 2012;78: 115–121.
  12. 12. Liu JK, Tai BW, Fang JH. Ground temperature and deformation analysis for an expressway embankment in warm permafrost regions of the Tibet plateau. Permafrost Periglacial Processes. 2019;30: 208–221.
  13. 13. Mu YH, Ma W, Sun ZZ, et al. Comparative analysis of cooling effect of crushed rock embankment along the Qinghai-Tibet Railway [In China] Rock and Soil Mechanics. 2010;31(S 1): 284–292.
  14. 14. Bian XL, He P, Wu QB, et al. Laboratory experiment of natural convection characteristics of embankment block stones [In China] Journal of the China Railway Society. 2010;32: 77–81.
  15. 15. Chou YL, Sheng Y, Chen J, Chen X. Analysis on thermal stability and deformation stability of CMR. Cold Reg Sci Technol. 2015;110: 215–222.
  16. 16. Duan SH. The study of the application of gravel-filled layer in the construction of runway in permafrost regions. China: Tianjin: Civil Aviation University of China; 2019.
  17. 17. Chen L, Yu W, Lu Y, Liu W. Numerical simulation on the performance of thermosyphon adopted to mitigate thaw settlement of embankment in Sandy permafrost zone. Appl Therm Eng. 2018;128: 1624–1633.
  18. 18. Chen L, Yu WB, Yi X, Hu D, Liu W. Numerical simulation of heat transfer of the crushed-rock interlayer embankment of Qinghai-Tibet Railway affected by aeolian sand clogging and climate change. Cold Reg Sci Technol. 2018;155: 1–10.
  19. 19. Yu QH, Mu YH, Yuan C, Ma W, Pan X. The cold accumulative effect of expressway embankment with a combined cooling measure in permafrost zones. Cold Reg Sci Technol. 2019;163: 59–67.
  20. 20. Yu Z, Yang LC, Zhou SH. Comparative study of relating equations in coupled thermal-hydraulic finite element analyses. Cold Reg Sci Technol. 2019;161: 150–158.
  21. 21. Hou DS. Study on the bearing capacity of runway in permafrost region based on temperature change. China: Tianjin: Civil Aviation University of China; 2017.
  22. 22. Wang SH. Study on impact of environment temperature changes on bearing capacity of airport runway in permafrost regions. China: Tianjin: Civil Aviation University of China; 2018.
  23. 23. Peng H, Ma W, Mu YH, et al. Analysis of disease investigation and long-term deformation characteristics of common fill embankment of the Qinghai-Tibet Highway [In China] Rock and Soil Mechanics. 2015;36: 2049–2056.
  24. 24. Mu YH, Ma W, Niu FJ, Liu Y, Fortier R, Mao Y. Long-term thermal effects of air convection embankments in permafrost zones: Case study of the Qinghai-Tibet railway, China. J Cold Reg Eng. 2018;32: 1–9.
  25. 25. Varlamov SP. Thermal monitoring of railway subgrade in a region of ice-rich permafrost, Yakutia, Russia. Cold Reg Sci Technol. 2018;155: 184–192.
  26. 26. Liu NF, Li N, He M. Upgrade and validation of thermo-hydro-mechanical coupling analysis platform [In China] Chinese Journal of Rock Mechanics and Engineering. 2014;33: 2750–2757.
  27. 27. Doré G, Niu F, Brooks H. Adaptation methods for transportation infrastructure built on degrading permafrost. Permafrost Periglacial Processes. 2016;27: 352–364.
  28. 28. Zhang WQ, Li CC, Liu DR, et al. Study of the anti-frost effect of heat insulation-waterproof embankment in seasonal frozen regions [In China] Journal of Glaciology and Geocryology. 2017;39: 1258–1264.
  29. 29. Tai B, Liu J, Wang T, Tian Y, Fang J. Thermal characteristics and declining permafrost table beneath three cooling embankments in warm permafrost regions. Appl Therm Eng. 2017;123: 435–447.
  30. 30. Kong XB, Doré G, Calmels F. Thermal modeling of heat balance through embankments in permafrost regions. Cold Reg Sci Technol. 2019;158: 117–127.
  31. 31. Zhang Z, Yu Q, You Y, Guo L, Wang X, Liu G, et al. Cooling effect analysis of temperature-controlled ventilated embankment in Qinghai-Tibet testing expressway. Cold Reg Sci Technol. 2020;173: 10–32.
  32. 32. Zhang XM, Liu XL, Dong Q. Take-off and landing adaptability of A380-800 large aircraft on existing pavement. J Beijing University of Aeronaut & Astronaut. 2016;42: 1812–1818.
  33. 33. Li Y. Study on runway subgrade moisture-heat-stress coupling effect in permafrost regions. China: Tianjin: Civil Aviation University of China; 2019.
  34. 34. Wang XT. Optimization study for subgrade structure of high-speed railway in deep seasonally frozen region based on temperature field. China: Beijing Jiaotong University. Beijing; 2019.
  35. 35. Bjella K. An investigation into a white painted airfield on permafrost: Thule Air Base, Greenland international symposium Cold Reg Devel; 2013. pp. 565–575.
  36. 36. Simon DP, Dilley L. Thermal modeling and verification of the embankment for the Barter Island Airport relocation international conference Cold Reg Eng; 2015. pp. 113–122.
  37. 37. LeBlanc AM, Short N, Oldenborger GA. Geophysical investigation and InSAR mapping of permafrost and ground movement at the Iqaluit Airport international conference Cold Reg Eng; 2012. pp. 644–654.