Research Article  Open Access
Jingsong Shan, Hongmei Shao, Qiuzhong Li, Peili Sun, "Comparison of Real Response and Theoretical Modeling of Pavement with Thick Asphalt Layers under Heavy Traffic Load", Advances in Civil Engineering, vol. 2019, Article ID 8097890, 11 pages, 2019. https://doi.org/10.1155/2019/8097890
Comparison of Real Response and Theoretical Modeling of Pavement with Thick Asphalt Layers under Heavy Traffic Load
Abstract
Two kinds of asphalt pavement with thick asphalt layers were used to construct two samples. In structure I, a semirigid base and graded crushed stone subbase were used. In structure II, a granular base and semirigid subbase layer were used. Responses of the two structures under traffic loads were measured using optical fiber sensors, and the differences between theoretical model results and field measurements were analyzed. Field measurements show that vertical compressive stress in structure I is larger than that in structure II. The maximum tensile strain of the asphalt layer is located at the bottom of the AC25C layer in structure I and at the bottom of the AC25F layer in structure II. The latter is significantly larger than the former, indicating the possibility of fatigue cracking induced by traffic load is higher in structure II. The measured tensile horizontal strain at the bottom of the semirigid layer is relatively low () in both structure I and structure II. In theoretical model, static modulus, dynamic modulus, and interface bonding ability are considered and theoretical responses are calculated. There are significant differences between the theoretical results and field test data. In the theoretic model, the material properties of layers and bonding status of adjacent layers all influence the results. In order to reduce the difference between the calculated and measured results, numerous material tests and field tests should be carried out.
1. Introduction
Road paving materials and their mechanical properties are complicated. Ideal theory analysis cannot accurately reflect the true pavement response. So, theoretical calculation results should be revised to agree with pavement response data. In 1989, Mendez et al. proposed embedding fiber grating sensors (FBGs) in reinforced concrete to measure the status of the internal structure [1]. Then, in 1992, Prohaska et al. put FBG in reinforced concrete to measure strain [2]. FBG can also be used to measure asphalt pavement temperature [3]. A regression formula for pavement temperature was formed by combing field data and numerical analysis [4, 5]. Pavement temperature and response were measured, and a simulation model was created based on the field data [6, 7]. With the development of testing technology, pavement threedimensional response could be tested and analyzed considering load magnitude and loading speed [8]. Vertical strains of the No. 40 Interstate Road in New Mexico, United States were tested, and test data and simulation data were compared [9–11]. In addition, GPR and core sampling were combined to determine the thickness of pavement layers, and the modulus of each layer was backcalculated using Falling Weight Deflectometer (FWD) data [12, 13].
In recent years, the mechanicsempirical method has been widely accepted for its connection between field measurements, theoretical calculation results, and pavement distresses. In the theoretical method, road material mechanical parameters must be tested and input into the theoretical model. Mechanical parameters have an important effect on the accuracy of the results [14–16].
Real pavement responses can be obtained directly in the field, but a significant amount of manpower and cost is required. On the other hand, theoretical calculations can be carried out easily by computers but are less accurate due to assumptions in the theoretical model. In this study, two types of asphalt pavement with thick asphalt layers are proposed and constructed. Real stress and strain responses in the pavement layers are tested, and the difference between the real responses and theoretical simulation results is analyzed.
2. Field Test of Pavement with a Thick Asphalt Layer under Traffic Load
2.1. Test Road
In many countries, the major materials used in flexible pavement include hotmix asphalt (HMA), asphalt stabilized base, cementtreated base (CTB), other chemically treated materials (e.g., limefly ash, soil cement, limestabilized soils, etc.), and unbound aggregate base/subbase. In China, cementstabilized material is widely used as the base and subbase layers. However, fatigue and reflective fracturing are inevitable if the chemically treated materials are used directly below asphalt layers. Unbound aggregate can restrain the reflective cracking progress, and thicker asphalt layers can also delay crack propagation within the asphalt layers.
Based on the above considerations, the pavement structures illustrated in Figures 1 and 2 are proposed as the test load structures. HMA layers with a total thickness of 30 cm are used. In structure I, cementtreated material is used as the base layer, and unbound granular aggregate is used as the subbase layer. Unlike structure I, an unbound aggregate layer is placed between the asphalt and cementtreated layers in structure II. The total thickness of pavement layers is 80 cm. In AC25C and AC25F, the symbols C and F denote either a coarse gradation or fine gradation, respectively.
2.2. Installation of FBG
FBGs have been used to measure pavement structure response in recent years [3]. FBGs are a kind of optical fiber passive component, which have higher accountability, higher accuracy, and less electromagnetic interference compared to other sensors. During construction of the test road, FBGs are placed within pavement layers (Figure 3). FBG installation should adhere to the following rules:(1)According to the transverse distribution of vehicles, sensors should be placed underneath the wander of the traffic load to ensure the maximum pavement response is recorded.(2)Two or more sensors are required at the same position to verify the data. If the data from the two sensors are significantly different, further analysis must be conducted.(3)The distance between structure I and structure II should be as small as possible to link the transmission wire to a common point (Figure 3).
All sensors and transmission wires must be protected during pavement construction. Grooves should be cut in the pavement first; then the FBG and wires are placed in the groove and covered with road material to ensure that the sensors and wires are protected (Figures 4 and 5). All sensors must be examined as soon as possible after construction to verify that the sensor is operable.
Three different types of sensors are used: compressive stress sensors, strain sensors, and temperature sensors (Table 1). Sensors are linked to a demodulator by fiber wires, and the wavelength variation of all sensors is recorded using the demodulator. Because the asphalt layer response is closely related to temperature, temperature sensors should be placed at the same position as the other sensors. Considering that sensors are easily destroyed by rollers during construction, test sensors are primarily placed in the AC25C and underlying layers.

3. Field Data Processing
A heavily loaded truck was used as a test vehicle. The weight of the front and rear axles was 7.46 tons and 23.7 tons, respectively. Before the field test begins, a mark should be made on the road surface over the FBGs to ensure that the test vehicle passes directly over the FBGs. The test truck had a uniform speed of 60 km/h. A demodulator with a frequency of 100 Hz was used to collect wavelength data every 0.01 s. Pavement response can be calculated using the FBG wavelength variation using formulas (1) through (3):where P is the vertical compressive stress, ε is the horizontal strain, K_{1} is the stress coefficient (kPa/nm), K_{2} is the strain coefficient (με/nm), K_{3} is the temperature coefficient (°C/nm), λ_{1} is the current wavelength of FBG (nm), and λ_{0} is the initial wavelength of FBG (nm)
3.1. Vertical Compressive Stress
The vertical compressive stress vs. time for structures I and II are plotted in Figures 6 and 7, respectively. When the test vehicle passes over the test sensors, the vertical stress response is calculated and recorded. The compressive stress response in the two structures is similar. Two wave peaks resulting from the front and rear axles, respectively, are visible. The response induced by the rear axle is significantly larger than the front axle response because the load magnitude of the rear axle is significantly larger than the front axle.
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The compressive vertical stress in structure I is larger than that in structure II at the same position. For instance, the peak vertical compressive stress at the top of the AC25F layer is 338.0 kPa in structure I; however, the peak vertical compressive stress is 206.3 kPa in structure II. The former is 1.64 times larger than the latter.
In Figure 7, the compressive stress response at the granular layer top is plotted. The peak of vertical stress in structure I is 43.0 kPa, which is much less than structure II (169.0 kPa). The difference comes from the granular layer depth. The distance from the granular layer top to pavement surface is 64 cm in structure I; however, this distance is 30 cm in structure II. Therefore, it can be concluded that the semirigid layer transfers and spreads the traffic load well and reduces the possibility of deformation in the granular layer.
3.2. Horizontal Strain
Horizontal strain in the pavement layers is plotted in Figures 8–10, from which several conclusions can be drawn:(1)The horizontal strain response in structures I and II are similar when the traffic load passes over the test sensors. Horizontal strains are compressive at the bottom of the AC25C and AC25F layers when the test vehicle is not directly over an FBG; however, when the test vehicle is directly over an FBG, the horizontal strain is extensional.(2)The tensile strain in structure II is significantly larger than that in structure I. For example, the maximum tensile strain at the bottom of the AC25C layer in structure I is and in structure II. The maximum tensile strain beneath the AC25F layer in structure I is and in structure II. As a result, fatigue cracking may be more likely in structure II.(3)The position of the maximum strain is different in structure I and structure II. The point of maximum tensile strain is at the bottom of the AC25C layer in structure I but is located at the bottom of the AC25F layer in structure II.(4)In structure I and structure II, tensile strain exists beneath the cement stabilized layer; however, the tensile strain magnitude at the bottom of cement stabilized layer is small. Thus, fatigue cracking is less likely in CTB with a thick asphalt layer and thick CTB base layer.
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3.3. Temperature in Asphalt Layers
Field tests were conducted from 10 am to 12 am on a sunny day without wind and an atmospheric temperature of 29.2°C. Temperature in the asphalt layers during the test period is plotted in Figure 11. Temperature fluctuation exists at the test point, but fluctuations are not greater than 1°C. The average temperature during the test is regarded as the representative temperature at the moment of testing. The temperature at the bottom of the SMA (h = 4 cm), AC20 (h = 10 cm), AC25C (h = 20 cm), and AC25F (h = 30 cm) layers was 39.3°C, 34.6°C, 25.5°C, and 24.7°C, respectively.
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4. Comparison of Theoretical Results and Field Data
Although field tests can help to obtain the real inner responses of pavement structures, field tests have some limitations. For instance, the subgrade condition, pavement structure, and testing method can all have an effect on test data, which results in difficulty directly applying test results to pavement design. Field tests are also expensive and time consuming. By comparison, theoretical analysis is cheaper and faster. The following paragraphs focus on comparing theoretical results and field test results in order to improve the accuracy of the theoretic results.
In the theoretic model, road pavement is assumed to be composed of multiple elastic layers characterized by an elastic modulus and Poisson's ratio. In this section, the effects of material properties including static modulus, dynamic modulus, and interface contact conditions between layers are analyzed.
4.1. Test Truck Load Parameters
The contact parameters between the test truck’s tire and road surface are calculated listed in Table 2 and are used as inputs for the theoretic model [17].

4.2. Influence of Static Modulus
Static modulus is widely used in theoretic modeling. Asphalt layer modulus is determined using the real temperature of the test road in Figure 11. Because the temperature in the AC25F and AC25C layers is similar, the static modulus of the two layers is set to same value. In order to analyze the influence of asphalt modulus on the theoretic model, the modulus of the AC25C and AC25F layers is varied while the modulus of other layers is held constant. Three modulus combinations are listed in Table 3.

Variations in asphalt layer modulus have a small effect on the theoretical vertical compressive stress (Figure 12). The theoretical compressive vertical stresses in structures I and II are both significantly larger than the corresponding field measurements. For example, compressive vertical stresses at the bottom of the AC25C and AC25F layers in structure I are 62.3% and 58.7% larger than the respective measured values. The compressive vertical stresses at the bottom of the AC25C and AC25F layers in structure II are 45.8% and 70.1% larger than the respective measured values. The differences between the theoretic and real responses have nothing to do with the asphalt layer static modulus.
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The theoretical tensile strains at the bottom of the AC25C and AC25F layers are significantly smaller than the measured values (Figure 13). The theoretic horizontal strain at the bottom of the cement treated layer is significantly larger than the corresponding field measurement. With increasing asphalt layer modulus, theoretic tensile strain at the bottom of the AC25C layer in structure I decreases, but the tensile strain in the AC25F layer increases slightly. In structure II, tensile strain in the AC25C layer decreases with increasing asphalt layer modulus, similar to structure I, and the tensile strain at the bottom of the AC25F layer shows little change. It should be noted that the tensile horizontal strain in asphalt layers may be underestimated, and the tensile strain at the bottom of the CTB layer may be significantly overestimated when the theoretic method is used. Thus, the theoretical results should be revised before applying them to pavement design.
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4.3. Influence of Semirigid Layer Modulus
In order to analyze the influence of semirigid layer modulus on pavement response, the modulus of all asphalt layers in the theoretical model were fixed, and only the semirigid layer modulus was varied. The modulus of the AC25C and AC25F layers were fixed at 1000 MPa, and the modulus of CTB layer was varied from 1000 MPa to 1800 MPa. The parameters of the other layers are listed in Table 3.
Variation in the CTB base or subbase modulus has little effect on the compressive vertical stress of pavement layers (Table 4). However, varying the semirigid layer modulus can influence the tensile strain of asphalt layers (Table 5). With increasing CTB modulus, tensile strains at the bottom of the AC25C and AC25F layers decrease, especially in the AC25F layer. Increasing the CTB layer modulus is conducive to reducing the possibility of fatigue cracking beneath asphalt layers under traffic load. However, it must be noted that the discrepancy between theoretic results and field measurements will grow with increasing CTB modulus in the theoretic model.


4.4. Influence of Asphalt Layer Dynamic Modulus
The dynamic modulus of asphalt mixtures can be tested using laboratory methods, and results were related to loading rate and temperature [18, 19]. In this study, the dynamic modulus of asphalt layers is determined based on past studies. The dynamic modulus of asphalt mixtures under a loading frequency of 10 Hz is listed in Table 6. The theoretical results are listed in Table 7.


Theoretical results show that if dynamic modulus is used, the compressive vertical stresses in the asphalt layers are clearly less when using the static modulus. The difference between theoretical compressive stress and measured data decreases when the dynamic modulus is adopted in the theoretical model.
The maximum tensile horizontal strain positions appear at the bottom of the AC25F layer in both structure I and structure II when the dynamic modulus is used in the theoretical model. The maximum tensile strain of asphalt layers in structure II decreased significantly compared with the calculated results using the static modulus model. Thus, the dynamic modulus has a greater effect on the theoretical strain response of structure II.
On the whole, using the dynamic modulus leads to a decreased theoretical compressive stress and tensile strain in asphalt layers. As a result, the difference between theoretical vertical compressive stress and field measurements is reduced and the difference in tensile strains is increased.
4.5. Interface between the Asphalt Layer and Base Layer
When pavement structures are constructed, the interface between layers may be not fully bonded because the adjacent materials are not same. Bonding conditions are considered in the theoretical model to analyze the effect of interface characteristics on pavement response. Only the bonding status between the lowest asphalt layer and base layer is considered, including a fully bonded boundary and a sliding boundary (Figures 14 and 15).
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The bonding conditions between the asphalt and base layers have the same effect on the compressive vertical stress in structure I and structure II. The sliding boundary led to an increased compressive vertical stress in the AC25F layer and decreased compressive vertical stress in the AC25C layer. Overall, the change in compressive vertical stress magnitude is not significant. In contrast, the effects of interface condition on tensile horizontal strain are significant. For a sliding boundary, the theoretical tensile horizontal strains of the AC25C and AC25F layers in structure 1 are 3.9 times and 16.5 times larger, respectively, compared to a fully bonded layer. In structure 2, the increase ratio of tensile horizontal strain is 1.9 times and 2.1 times, respectively.
The theoretical horizontal strain in asphalt layers is larger than field measurements for a sliding boundary. However, if the boundary is fully bonded, the theoretical results will be less than field measurements. Thus, the interface type has an important effect on the theoretical results. It is necessary to reasonably evaluate the actual interface type in order to decrease the difference between theoretical and real responses.
5. Conclusion
In this study, two kinds of pavements with thick asphalt layers are designed and used to construct test road samples. The responses of pavement layers under traffic loading are measured. The differences between the theoretical results and field measurements are analyzed, and several conclusions are drawn as follows:(1)According to field data, the compressive vertical stress in the asphalt layers of structure I is larger than in structure II at the same depth, indicating that the asphalt material in structure I undergoes more severe compression under traffic load.(2)The position of the maximum horizontal tensile strain in structure I is located at the bottom of the AC25C layer. The same point is located at the bottom of the AC25F layer in structure II, and the magnitude of maximum horizontal tensile strain is 2.42 times larger in structure II than in structure I based on field data, indicating fatigue cracking is more likely to occur in structure II with a granular base layer.(3)The measured tensile strains of a semirigid base layer are relatively low (less than ), indicating that fatigue cracking induced by traffic load may not initiate at the bottom of the CTB covered with a thick asphalt layer.(4)Pavement responses calculated using the theoretical model are distinctly different from field measurements. Theoretical compressive vertical stresses are significantly larger than field measurements, and the theoretical tensile strain in asphalt layers is significantly less than field measurements if the interface condition is good. Thus, the predicted service life of pavement will deviate from the actual service life if the theoretical response is directly used to design the pavement.(5)Material properties and interface bonding condition have significant effects on theoretical pavement response. It is difficult to reduce the difference between theoretical results and field measurements only by varying the material modulus of certain layers or one interface bonding condition. Numerous material tests and field tests must be conducted in order to establish a reasonable relationship between theoretical results and field measurements.
Data Availability
The authors declare that all the data supporting the conclusions of the present study can be obtained from the corresponding author.
Conflicts of Interest
There are no conflicts of interest regarding the publication of this article.
Authors’ Contributions
Jingsong Shan and Hongmei Shao designed the field test. QiuZhong Li and Peili sun performed the field test. Jingsong Shan conducted the theoretical analysis. Hongmei Shao analyzed the field test data and wrote the paper.
Acknowledgments
This research was funded by the Project of Shandong Province Higher Educational Science and Technology Program, grant no. J17KA213.
References
 A. Mendez, T. F. Morse, and F. Mendez, “Applications of embedded optical fiber sensors in reinforced concrete buildings and structures,” Proceedings of the SPIE, vol. 1170, pp. 60–69, 1990. View at: Publisher Site  Google Scholar
 J. D. Prohaska, E. Snitzer, B. Chen, M. H. Maher, E. G. Nawy, and W. W. Morey, “Fiber optic bragg grating sensor in large scale concrete structures,” Proceedings of the SPIE, vol. 1798, pp. 1–22, 1993. View at: Google Scholar
 D. Zejiao, L. Shenglong, W. Jiayu, and L. Zhen, “Realtime temperature field measurement of asphalt pavement based on fiber bragg grating measuring technology,” Journal of Traffic and Transportation Engineering, vol. 14, no. 2, pp. 1–6, 2014, in Chinese. View at: Google Scholar
 Y. Xili, Z. Shiping, L. Yan, and H. Xiaoyuan, “Analysis of temperature field of asphalt pavement by site measurement in fulldepth,” Journal of Chang’an University: Natural Science Edition, vol. 36, no. 1, pp. 1–7, 2016, in Chinese. View at: Google Scholar
 K. Haigui, Z. Yuanxun, C. Yingchun, and L. Yan, “Regression analysis of actual measurement of temperature field distribution rules of asphalt pavement,” China Journal of Highway and Transport, vol. 20, no. 6, pp. 13–18, 2016, in Chinese. View at: Google Scholar
 G. Xingyu, Y. Qingquan, and N. Fujian, “Analysis of factors on asphalt pavement rut development based on measured load and temperature gradient,” China Journal of Highway and Transport, vol. 25, no. 6, pp. 30–36, 2012, in Chinese. View at: Google Scholar
 H. Xiaodi and S. Lijun, “Stress response analysis of asphalt pavement under measured tire ground pressure of Heavy vehicle,” Journal of Tongji University: Natural Science, vol. 34, no. 1, pp. 64–68, 2006, in Chinese. View at: Google Scholar
 Z. J. Dong, H. Liu, Y. Q. Tan et al., “Field measurement of threedirection strain response of asphalt pavement,” Journal of South China University of Technology: Natural Science Edition, vol. 37, no. 7, pp. 46–51, 2009, in Chinese. View at: Google Scholar
 M. D. R. Islam and R. A. Tarefder, “Field measurement of vertical strain in asphalt concrete,” International Journal of Scientific & Engineering Research, vol. 4, no. 2, pp. 1–6, 2013. View at: Google Scholar
 M. D. R. Islam, M. U. Ahmed, and R. A. Tarefder, “Evaluation of the FWD moduli of a flexible pavement using finite element model,” International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, vol. 7, no. 1, pp. 94–98, 2013. View at: Google Scholar
 AASHTO, “Mechanisticempirical pavement design guide,” in A Manual of Practice, AASHTO, pp. 163–184, American Association of State Highway and Transportation Officials, Washington, DC, USA, Interim edition, 2008. View at: Google Scholar
 J. Domitrović and T. Rukavina, “Application of GPR and FWD in assessing pavement bearing bearing capacity,” Romanian Journal of Transport Infrastructure, vol. 2, no. 2, pp. 11–21, 2013. View at: Publisher Site  Google Scholar
 M. Ožbolt, T. Rukavina, and J. Domitrović, “Comparison of pavement layer thickness measured by GPR and conventional methods,” The Baltic Journal of Road and Bridge Engineering, vol. 7, no. 1, 2012. View at: Google Scholar
 J. Zhang, J. Peng, J. Zheng, L. Dai, and Y. Yao, “Prediction of resilient modulus of compacted cohesive soils in South China,” International Journal of Geomechanics, vol. 19, no. 7, Article ID 040190, 2019. View at: Publisher Site  Google Scholar
 J. Li, J. Zhang, G. Qian, J. Zheng, and Y. Zhang, “Threedimensional simulation of aggregate and asphalt mixture using parameterized shape and size gradation,” Journal of Materials in Civil Engineering, vol. 31, no. 3, Article ID 04019004, 2019. View at: Publisher Site  Google Scholar
 J. Zhang, J. Li, Y. Yao, J. Zheng, and F. Gu, “Geometric anisotropy modeling and shear behavior evaluation of graded crushed rocks,” Construction and Building Materials, vol. 183, pp. 346–355, 2018. View at: Publisher Site  Google Scholar
 W. Heukelom and A. J. G. Klomp, “Dynamic testing as a means of controlling pavements during and after construction,” in Proceedings of the International Conference on the Structural Design of Asphalt Pavements, pp. 667–679, Ann Arbor, MI, USA, August 1962. View at: Google Scholar
 J. Shan and S. Wu, “Analysis of rutting resistance of asphalt pavement,” Journal of Building Materials, vol. 19, no. 3, pp. 124–130, 2016, in Chinese. View at: Google Scholar
 W. Jincheng, S. Cui, and J. Hu, “Research on dynamic modulus of asphalt mixtures,” Journal of Building Materials, vol. 11, no. 6, pp. 657–661, 2008, in Chinese. View at: Google Scholar
Copyright
Copyright © 2019 Jingsong Shan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.