Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1
Abdalrhman Milad
 + 1612 word(s) 1612 2021-04-26 05:13:33 |
2 format correct
Bruce Ren
 -21 word(s) 1591 2021-05-07 11:22:12 |

Video Upload Options

We provide professional Video Production Services to translate complex research into visually appealing presentations. Would you like to try it?
No, upload directly Yes

Confirm

Are you sure to Delete?
Yes No
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Milad, A. Asphalt Pavement Temperature Prediction Models. Encyclopedia. Available online: https://encyclopedia.pub/entry/9376 (accessed on 16 November 2024).
Milad A. Asphalt Pavement Temperature Prediction Models. Encyclopedia. Available at: https://encyclopedia.pub/entry/9376. Accessed November 16, 2024.
Milad, Abdalrhman. "Asphalt Pavement Temperature Prediction Models" Encyclopedia, https://encyclopedia.pub/entry/9376 (accessed November 16, 2024).
Milad, A. (2021, May 07). Asphalt Pavement Temperature Prediction Models. In Encyclopedia. https://encyclopedia.pub/entry/9376
Milad, Abdalrhman. "Asphalt Pavement Temperature Prediction Models." Encyclopedia. Web. 07 May, 2021.
Asphalt Pavement Temperature Prediction Models
Edit
This entry is adapted from the peer-reviewed paper 10.3390/app11093794

The performance of bituminous materials is mainly affected by the prevailing maximum and minimum temperatures, and their mechanical properties can vary significantly with the magnitude of the temperature changes. The given effect can be observed from changes occurring in the bitumen or asphalt mixture stiffness and the materials’ serviceable life. Furthermore, when asphalt pavement layer are used, the temperature changes can be credited to climatic factors such as air temperature, solar radiation and wind. 

pavement temperature temperature distribution prediction model layered systems heat transfer climate asphalt

1. Introduction

Temperature distribution is the one of the most contributing environmental factors which affects the mechanical properties of flexible asphalt paving mixtures and the asphalt pavement structure’s bearing capacity [1][2]. To briefly define, pavement temperature is defined as the changes in pavement surface temperature with the variation in weather parameters over time as influenced by the paving materials and direct solar reflectance, thermal conductivity, thermal emittance, specific heat, and surface convection [3][4]. It should be noted that, Bituminous and asphalt mixtures are temperature sensitive materials, and therefore their strengths and modulus vary with the change in temperature. As a result of this, different types of damages could occur in flexible pavements. For example, the decreasing temperature can risk pavements crack, while high temperatures can result in rutting (permanent deformation) [5]. It is also been observed that the temperature in one section of an asphalt pavement varies due to several reasons. To better understand, pavement responses are affected primarily by ambient temperature, followed by solar radiation (during the hot season); the effect of wind speed and relative humidity, however, is less significant [6][7]. Thus, these parameters are considered as the necessary parameters in a pavement temperature prediction model [8][9]. Furthermore, extensive research on temperature prediction models has been conducted in several regions with different climates to formulate pavement temperature prediction models that provide the highest accuracy [2]. Several researchers have also raised their concern about temperature algorithms’ precision and the consequences of using predicted values by emerging technologies of deep learning-based regression models for calculating asphalt pavement temperature [10][11].

2. Measurements of Pavement Temperature

The pavement surface temperature measurement which is based on creating a pavement temperature prediction model enables us to gather the relevant pavement temperature data. Figure 1 shows the design of a mobile and dependable system which is used for collecting continuous and consistent measurements of temperature fluctuations occurring in an asphalt pavement section [12].

Applsci 11 03794 g001 550

Figure 1. Representation of a pavement temperature measurement system.

The provided system has been used extensively in many researches on-site, and the temperature measurement system of those researches should meet the following requirements [12]:

  • The thickness of the flexible pavement base course and wearing surface required should be less than 35 cm.

  • The measurement site must have proper ventilation and be able to receive sufficient sunlight without being shaded by trees or buildings.

  • The measurement point must be easily reachable by the power supply and protection facilities for the temperature recording and measuring system.

  • A weather station must be present not more than eight km away from the measurement site to provide real-time climate data.

3. Primary Factors Influencing Pavement Temperature

Environmental factor variations may influence pavement temperature variations and hence ultimately affecting the stiffness and degradation of pavement materials, thereby influencing their performance in-service. However, these factors are always considered in pavement design and field installation [13][14]. For example, in order to meet the functional and structural requirements, the selection of bituminous binder grade is determined to address the local temperature condition [13][15]. Even though environmental factors are given serious consideration in pavements, distresses resulting from variations in these factors are unavoidable and are often significant [16][17][18]. The previous researcher investigated the effect of the environment on the pavement performance and reported influences on pavement environmental conditions (e.g., temperature and moisture profiles) in assessing material responses and predicting long-term performance [19].

Furthermore, the increase in the temperature ranges due to weather and climate changes were reported to increase thermal stresses in asphalt layers and that more thermal cracking could be expected as a result [20]. In addition to these, higher temperature can lead to faster (accelerated) ageing of asphalt layers, and pavements could hence become more prone to cracking due to increased brittleness [21][22][23]. Additionally, low temperatures may lead to the hardening of asphalt concrete and subsequently results in thermal cracks being generated on the road surface. Also, the low temperature was prone to accelerate cracking processes while high temperature distorts processes, leading to plastic deformation such as rutting [24][25][26][27].

Figure 2 illustrates the heat conduction within a pavement structure and subgrade and the convection process due to heat transfer between the pavement surface and the surrounding environment, where the latter takes place through a transmission medium, such as air or when water reaches the surface [28][29]. However, in most investigations on the climatic variables, temperature variations were considered the most responsible factor for the varying pavement performance [30][31]. Therefore, it is prudent to understand the mechanisms for seasonal variations and their impact on temperature changes [32][33][34]. Furthermore, it is widely known that the pavement layers’ response to traffic loads is highly influenced by environmental factors such as temperature and moisture. Therefore, any significant temperature change could severely impact asphalt pavement performance and the rehabilitation requirements [35][36][37][38].

Applsci 11 03794 g002 550

Figure 2. Factors influencing asphalt pavement temperature.

3.1. Influence Mechanisms

Most pavements are exposed to their surrounding environments, significantly influencing their internal pavement temperatures [39][40]. Diffused and direct solar radiation, which is considered the essential factors, generally has short wavelengths [41]. As shortwave radiation reaches the asphalt pavement surface, the pavement layers start absorbing a relatively high amount of energy, transmitted as heat flux in the pavement structure whilst the surface reflects the remaining heat towards the sky [1]. It should be considered that asphalt pavements are not only affected by climate variations but also contribute to them [41]. The reasons for this are two-fold. Firstly, a large amount of Greenhouse Gas (GHG) is emitted in various phases of a pavement’s life cycles. Secondly, asphalt roads cover significant proportions of urban areas. Moreover, road pavements store and release more heat than soils, aggravating urban heat island (UHI) effects. Consequently any action to reduce such emissions could potentially contribute to mitigating GHG emission on heavily trafficked roads [42].

The amount of reflected and absorbed energy is influenced by cloud cover, precipitation, and pavement surface temperature [43]. The pavement surface concurrently radiates the long-wave radiation as a black body [44]. The net value of that long-wave radiation energy (input long-wave radiation minus pavement emitted long-wave radiation) is known as the effective long-wave radiation [45]. Hence, it may be affected by cloud cover, pavement surface temperature, air temperature, and relative humidity. Direct solar radiation and diffuse scattered solar radiation are also shortwave radiations and can be regarded as incoming shortwave radiation. The combined incoming solar radiation and effective long-wave radiation is called solar radiation [17]. Therefore, it is safe to say that heat can be transferred primarily by air, dynamic terrestrial radiation, and solar radiation [12][40][46].

3.2. Moisture Effect

Moisture affects the chemical, biological, and mechanical processes of decay [6]. The moisture formed due to the reaction between asphalt pavement surface and adsorbed water particles is deposited within the asphalt pavement surface [7]. However, it may also be generated by the moisture entrapped within the asphalt layer, leading to the build-up of pore pressure arising on account of repeated traffic loads and freeze-thaw cycles. Furthermore, the moisture layer, when combined with temperature, serves as a conductor in electrochemical reactions and a medium for the chemical reactions of surface contaminants. Two critical variables in the damage caused by humidity are the relative humidity of air and dew point [47].

3.3. Solar Radiation Effect

Solar radiation causes a change in the temperature of bituminous materials, which can in turn can cause a change in the volume of pavement structures in the pores due to the expansion of water when exposed to the higher amount of heat from solar radiation [48]. Thus, solar radiation causes indirect and diffuses heat gain on the pavement via solar absorption [49]. Moreover, Solar radiation is also plays a vital role in photochemical reactions since it is the energy source for the excitation and breaking of bonds within the reacting molecules [7][14][50]. Therefore, a sufficiently intense solar radiation with appropriate wavelengths could trigger photochemical reactions which can cause damages to pavement materials [14].

3.4. Wind Effect

The wind speed also affects pavement temperature. The difference in pavement surface temperature and air temperature can result into a convection loss from the pavement to the air. The amount of lost energy is determined by wind velocity and the difference between air temperature and pavement surface temperature. Furthermore, the heat exchange that occurs on the pavement surface causes a variation in pavement surface temperature; this results in a difference in the pavement surface temperature and the pavement structure’s temperature as the energy is dispersed to the pavement structure. Another factor influencing pavement temperature is wind speed. However, in reality, wind speed and wind direction are consistently changing. Wind speed for a given stretch of road may differ due to variations in layout and profile of, and any obstacle along, each road section. Therefore, the inclusion of the influence of wind speed in temperature prediction models could be complex.

Therefore, as the wind speed affects pavement temperature [12][51][52]. Asphalt pavement materials are affected in different ways by rising wind velocity [13]. Hence accordingly, the wind-water pushes the air’s portable particles to the pavement surface, where they cause local attrition and material deterioration [53][54]. In addition to this, wind velocity also influences the particle kinetic energy and the degree of inertial impaction of droplets on the materials surface [55]. The change in structure volume is influenced by both drying and wetting processes [56][57].

References

  1. Arangi, S.R.; Jain, R.K. Review Paper on Pavement Temperature Prediction Model for Indian Climatic Condition. Int. J. Innov. Res. Adv. Eng. 2015, 2, 1–9.
  2. Matic, B.; Matic, D.; Cosic, D.; Sremac, S.; Tepic, G.; Ranitovic, P. A Model for the Pavement Temperature Prediction at Specified Depth. Metalurgija 2013, 52, 505–508.
  3. Nižetić, S.; Papadopoulos, A. The Role of Exergy in Energy and the Environment; Springer International Publishing: Cham, Switzerland, 2018; ISBN 978-3-319-89844-5.
  4. Van Dam, T.J.; Harvey, J.T.; Muench, S.T.; Smith, K.D.; Snyder, M.B.; Al-Qadi, I.L.; Ozer, H.; Meijer, J.; Ram, P.V.; Roesler, J.R.; et al. Towards Sustainable Pavement Systems; Applied Pavement Technology Inc.: Urbana, IL, USA, 2015.
  5. Pan, F.; Wang, L.; Ji, J.; Jing, W. A Research Review of Flexible Pavement Temperature Profile. In Proceedings of the 2015 International Forum on Energy, Environment Science and Materials, Shenzhen, China, 25–26 September 2015; pp. 724–727.
  6. Diefenderfer, B.K. Moisture Content Determination and Temperature Profile Modeling of Flexible Pavement Structures; Virginia Polytechnic Institute and State University: Blacksburg, VA, USA, 2002.
  7. Salem, H.A. Research of the Relevant Temperatures for the Design of Pavement Constructions on the Desert Roads in Libya; Faculty of Technical Sciences, University of Novi Sad: Novi Sad, Serbia, 2015.
  8. Salem, H.A.; Uzelac, D.; Crvenkovic, Z.L. Development of a Model to Predict Pavement Temperature for Ghat Region in Libya. Appl. Mech. Mater. 2014, 587–589, 1115–1124.
  9. Dong, W. Simplified Analytical Approach to Predicting Asphalt Pavement. J. Mater. Civ. Eng. 2016, 27, 864–870.
  10. Milad, A.; Adwan, I.; Majeed, S.A.; Yusoff, N.I.M.; Al-Ansari, N.; Yaseen, Z.M. Emerging Technologies of Deep Learning Models Development for Pavement Temperature Prediction. IEEE Access 2021, 9, 23840–23849.
  11. Wilson, A.H. The Distribution of Temperatures in Experimental Pavements at Alconbury By-Pass; Transport and Road Research Laboratory (TRRL): Wokingham, UK, 1976.
  12. Sun, L. Distribution of the temperature field in a pavement structure. In Structural Behavior of Asphalt Pavements; Butterworth-Heinemann: Cambridge, MA, USA, 2016; pp. 61–177. ISBN 9780128499085.
  13. Willway, T.; Baldachin, L.; Reeves, S.; Harding, M. The Effects of Climate Change on Highway Pavements and How to Minimise Them: Technical Report; Transport Research Laboratory: Crowthorne, UK, 2008.
  14. Roffa, A.A.O.; Farhat, F.A. The Influence of Climate on Libyan Roads Deterioration. Sustain. Constr. Mater. 2012, 66, 430–440.
  15. Chandrappa, A.K.; Biligiri, K.P. Development of Pavement-Surface Temperature Predictive Models: Parametric Approach. J. Mater. Civ. Eng. 2016, 28, 1–12.
  16. Li, Q.; Mills, L.; McNeil, S. The Implications of Climate Change on Pavement Performance and Design; University Transportation Center, University of Delaware: Newark, DE, USA, 2010.
  17. Chao, J.; Zhang, J. Prediction model for asphalt pavement temperature in high-temperature season in Beijing. Adv. Civ. Eng. 2018, 2018, 1837952.
  18. Abu El-Maaty, A.E. Temperature Change Implications for Flexible Pavement Performance and Life. Int. J. Transp. Eng. Technol. 2017, 3, 1.
  19. Wahhab, B.H.I.A.; Balghunaim, F.A. Asphalt Pavement of The Temperature Related to Arid Saudi the Enviromental. Mater. Civ. Eng. 1994, 6, 1–14.
  20. Dave, E.V.; Hoplin, C. Flexible Pavement Thermal Cracking Performance Sensitivity to Fracture Energy Variation of Asphalt Mixtures. Road Mater. Pavement Des. 2015, 16, 423–441.
  21. Yin, F.; Arámbula-Mercado, E.; Epps Martin, A.; Newcomb, D.; Tran, N. Long-Term Ageing of Asphalt Mixtures. Road Mater. Pavement Des. 2017, 18, 2–27.
  22. Liu, P.; Hu, J.; Wang, H.; Canon Falla, G.; Wang, D.; Oeser, M. Influence of Temperature on the Mechanical Response of Asphalt Mixtures Using Microstructural Analysis and Finite-Element Simulations. J. Mater. Civ. Eng. 2018, 30, 04018327.
  23. Moreno-Navarro, F.; Sol-Sánchez, M.; García-Travé, G.; Rubio-Gámez, M.C. Fatigue Cracking in Asphalt Mixtures: The Effects of Ageing and Temperature. Road Mater. Pavement Des. 2018, 19, 561–570.
  24. Basu, A.; Marasteanu, M.O.; Hesp, S.A.M. Time-Temperature Superposition and Physical Hardening Effects in Low-Temperature Asphalt Binder Grading. Transp. Res. Rec. 2003, 1829, 1–7.
  25. Wang, D. Analytical Solutions for Temperature Profile Prediction in Multi-Layered Pavement Systems. Ph.D. Thesis, University of Illinois at Urbana-Champaign, Champaign, IL, USA, 2011.
  26. Marasteanu, M.; Buttlar, W.; Bahia, H.; Williams, C.; Moon, K.H.; Teshale, E.Z.; Falchetto, A.C.; Turos, M.; Dave, E.; Paulino, G.; et al. Investigation of Low Temperature Cracking in Asphalt Pavements National Pooled Fund Study—Phase II; Minnesota Department of Transportation: Saint Paul, MN, USA, 2012.
  27. Wang, D.; Falchetto, A.C.; Riccardi, C.; Westerhoff, J.; Wistuba, M.P. Investigation on the Effect of Physical Hardening and Aging Temperature on Low-Temperature Rheological Properties of Asphalt Binder. Road Mater. Pavement Des. 2019, 1–23.
  28. Zhang, N.; Wu, G.; Chen, B.; Cao, C. Numerical Model for Calculating the Unstable State Temperature in Asphalt Pavement Structure. Coatings 2019, 9, 271.
  29. Ankit, G.; Kumar, P.; Rastogi, R. Effect of Environmental Factors on Flexible Pavement. In Proceedings of the 8th International Conference on Managing Pavement Assets, Santiago, Chile, 15–19 November 2011.
  30. Liang, R.Y.; Niu, Y.Z. Temperature and Curling Stress in Concrete Pavements: Analytical Solutions. J. Transp. Eng. 1998, 124, 91–100.
  31. Pszczoła, M.; Judycki, J.; Ryś, D. Evaluation of Pavement Temperatures in Poland during Winter Conditions. Transp. Res. Procedia 2016, 14, 738–747.
  32. Abo-hashema, M. Artificial Neural Network Approach for Overlay Design of Flexible Pavements. Int. Arab J. Inf. Technol. 2009, 6, 204–212.
  33. Salem, H.M.; Bayomy, F.M.; Al-Taher, M.G.; Genc, I.H. Using Long-Term Pavement Performance Data to Predict Seasonal Variation in Asphalt Concrete Modulus. Transp. Res. Rec. 2004, 119–128.
  34. Qin, Y.; Hiller, J.E. Modeling the Temperature and Stress Distributions in Rigid Pavements: Impact of Solar Radiation Absorption and Heat History Development. KSCE J. Civ. Eng. 2011, 15, 1361–1371.
  35. Qin, Y.; Hiller, J.E. Simulating Moisture Distribution within Concrete Pavement Slabs: Model Development and Sensitivity Study. Mater. Struct. 2014, 47, 351–365.
  36. Gedafa, D.S.; Hossain, M.; Romanoschi, S.A. Perpetual Pavement Temperature Prediction Model. Road Mater. Pavement Des. 2014, 15, 55–65.
  37. Solaimanian, M.; Bolzan, P. Analysis of the Integrated Model of Climatic Effects on Pavements; The National Academy of Sciences: Washington, DC, USA, 1993.
  38. Fernando, E.; Wenting, G.L.; Duchwan, R. Development of a Procedure for Temperature Correction of Backcalculated Ac Modulus; The Texas A&M University System: College Station, TX, USA, 2001.
  39. Ksaibati, K.; Yavuzturk, C. Assessment of Thermal Stresses in Asphalt Pavements Due to Environmental Conditions; The National Academy of Sciences: Washington, DC, USA, 2006.
  40. Kai, Q.; Liu, G.; Hu, R.; Wei, S. Heat Reflectivity Properties of Asphalt Mixtures Modified Research on Influence of Aggregate with Nano A/SBS-II: Prediction of Temperature in Asphalt Pavement. In Proceedings of the Tenth International Conference of Chinese Transportation Professionals (ICCTP), Beijing, China, 4–8 August 2010; 2010; pp. 3819–3826.
  41. Solaimanian, M.; Kennedy, T.W. Predicting Maximum Pavement Surface Temperature Using Maximum Air Temperature and Hourly Solar Radiation. Transp. Res. Rec. J. Transp. Res. Board 1993, 1417, 11.
  42. Asaeda, T.; Ca, V.T.; Wake, A. Heat Storage of Pavement and Its Effect on the Lower Atmosphere. Atmos. Environ. 1996, 30, 413–427.
  43. Resler, J.; Krč, P.; Belda, M.; Juruš, P.; Benešová, N.; Lopata, J.; Vlček, O.; Damašková, D.; Eben, K.; Derbek, P.; et al. PALM-USM v1.0: A New Urban Surface Model Integrated into the PALM Large-Eddy Simulation Model. Geosci. Model. Dev. 2017, 10, 3635–3659.
  44. Hermansson, Å. Mathematical Model for Paved Surface Summer and Winter Temperature: Comparison of Calculated and Measured Temperatures. Cold Reg. Sci. Technol. 2004, 40, 1–17.
  45. Sakakibara, Y. A Numerical Study of The Effect of Urban Geometry Upon the Surface Energy Budget. Atmos. Environ. 1996, 30, 487–496.
  46. Qin, Y. Pavement Surface Maximum Temperature Increases Linearly with Solar Absorption and Reciprocal Thermal Inertial. Int. J. Heat Mass Transf. 2016, 97, 391–399.
  47. Kanabar, A. Physical and Chemical Aging Behavior of Asphalt Cements from Two Northern Ontario Pavement cements from two Northern Ontario pavement trials. Ph.D. Thesis, Queen’s University Kingston, Kingston, ON, Canada, 2010.
  48. Hamed, M.H.; Maryam, S.M. Influne of Ambient Temperature on Stiffnesss of Asphalt Paving Materials. J. Eng. 2011, 5, 1090–1108.
  49. Yavuzturk, C.; Ksaibati, K. Assessment of Temperature Fluctuations in Asphalt Pavements due to Thermal Environmental Conditions Using A Two-Dimensional, Transient Finite Difference Approach; University of Wyoming: Laramie, WY, USA, 2002.
  50. Airey, G.D. State of the Art Report on Ageing Test Methods for Bituminous Pavement State of the Art Report on Ageing Test Methods for Bituminous Pavement Materials. Int. J. Pavement Eng. 2010, 4, 165–176.
  51. Khan, Z.H.; Islam, M.R.; Tarefder, R.A. Determining Asphalt Surface Temperature Using Weather Parameters. J. Traffic Transp. Eng. 2019.
  52. Bogren, J.; Gustavsson, T.; Karlsson, M. Temperature Differences in the Air Layer Close to a Road Surface. Meteorol. Appl. 2001, 8, 385–395.
  53. Bobes-Jesus, V.; Pascual-Muñoz, P.; Castro-Fresno, D.; Rodriguez-Hernandez, J. Asphalt Solar Collectors: A Literature Review. Appl. Energy 2013, 102, 962–970.
  54. Crevier, L.P.; Delage, Y. METRo: A New Model for Road-Condition Forecasting in Canada. J. Appl. Meteorol. 2001, 40, 2026–2037.
  55. Berdahl, P.; Akbari, H.; Levinson, R.; Miller, W.A. Weathering of Roofing Materials—An Overview. Constr. Build. Mater. 2008, 22, 423–433.
  56. Moncmanová, A. Environmental Factors That Influence the Deterioration of Materials. Environ. Deterior. Mater. 2007, 28, 1–25.
  57. Cengel, Y.A. Heat Transfer: A Practical Approach, 2nd ed.; McGraw Hill: Columbus, GA, USA, 2003.
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
Upload a video for this entry
Information
Subjects: Engineering, Civil
Contributor MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Abdalrhman Milad
View Times: 1.5K
Revisions: 2 times (View History)
Update Date: 07 May 2021
Table of Contents
    1000/1000
    Hot Most Recent
    ScholarVision Creations
    Feedback