Evaluation of the field segregation of asphalt pavement with 30# low penetration asphalt binder

  • Chuangmin Li
  • Fanbo Ning
  • Xinzhong Gan
  • Yuanyuan LiEmail author
  • Hechuan Li


Due to the segregation of asphalt pavement, the damage of asphalt pavement always starts from locality. The viscosity of the 30# asphalt is always relative higher, which may cause more worries about the segregation of the 30# asphalt mixtures. During the construction of Jin-Hai highway in Fujian province of China, three test roads were constructed, two of them were constructed with the 30# low penetration asphalt and one with SBS modified asphalt. Other factors, such as different construction technologies, source of asphalt, sources of aggregates and types of bearing layers, may affect the segregation of asphalt pavement were also investigated. In addition, two calibration methods were investigated to ensure a better calibration method for the calibration of the pavement quality indicator (PQI). The results show that it is of great benefits to use PQI as an on-site monitoring during the construction of asphalt pavement, the Method 1 is recommended as the calibration method for the PQI. The 30# low penetration asphalt mixture has a good construction performance, the 5.5 cm thickness of 30# low penetration asphalt concrete will not appear some specific segregation situations by the trapezoid paving method.


Asphalt pavement Segregation 30# Low penetration asphalt Pavement quality indicator (PQI) AC-20 SBS modified asphalt 


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  1. [1]
    H. Liu, Y. Ran, W. U. Shaopeng, Reducing the Compaction Segregation of Hot Mix Asphalt, J. Wuhan University of Technology-Mater. Sci. Ed. 22 (1) (2007) 132–135.Google Scholar
  2. [2]
    C. M. Li, A. Liu, Y. R. Xiao, Evaluation Segregation of SMA-13 Asphalt Pavement by Compactness, Appl. Mech. Mater. 587 (7) (2014) 1067–1070.Google Scholar
  3. [3]
    M. Stroup-Gardiner; M. Law, C. Nesmith, Using Infrared Thermography to Detect and Measure Segregation in Hot Mix Asphalt Pavements. Inter. J. Pave. Eng. 1 (4) (2000) 265–284.CrossRefGoogle Scholar
  4. [4]
    H. Akbulut, C. Gürer, S. Çetin, Use of volcanic aggregates in asphalt pavement mixes, Transport 164 (2) (2011) 111–123.Google Scholar
  5. [5]
    X. Li, S. Chen, K. Xiong, X. Liu, Gradation segregation analysis of warm mix asphalt mixture, J. Mater. Civ. Eng. 30 (4) (2018)Google Scholar
  6. [6]
    J. Yaezawa, H. Arai, In Research of the Evaluation Indicators and Methods of Asphalt Pavement Surface Segregation Based on Six Sigma, Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure, 2014 59–68.Google Scholar
  7. [7]
    Y. Miao, T. G. He, Q. Yang, J. J. Zheng, Multi-domain hybrid boundary node method for evaluating top-down crack in Asphalt pavements, Engineering Analysis with Boundary Elements 34 (9) (2010) 755–760.CrossRefzbMATHGoogle Scholar
  8. [8]
    J. S. Daniel, Use of an Infrared Joint Heater to Improve Longitudinal Joint Performance in Hot Mix Asphalt Pavements, J. Perform. Constr. Facilities 5 (5) (2006) 167–175.CrossRefGoogle Scholar
  9. [9]
    B. Huang, X. Shu, J. Chen, M. Woods, Evaluation of Longitudinal Joint Construction Techniques for Asphalt Pavements in Tennessee, J. Mater. Civ. Eng. 22 (11) (2010) 1112–1121.CrossRefGoogle Scholar
  10. [10]
    L. N. Mohammad, M. M. Hassan, M. Kim, Effects of paver stoppage on temperature segregation in asphalt pavements, J. Mater. Civ. Eng. 29 (2) (2016) 04016200.CrossRefGoogle Scholar
  11. [11]
    J. Mahoney, S. Muench, L. Pierce, S. Read, H. Jakob, R. Moore, Construction-Related Temperature Differentials in Asphalt Concrete Pavement: Identification and Assessment, Trans. Res. Rec. 1712 (1) (2000) 93–100.CrossRefGoogle Scholar
  12. [12]
    K. A. Willoughby, J. S. Uhlmeyer, J. P. Mahoney, K. W. Anderson, L. M. Pierce, Construction-Related Variability in Pavement Mat Density due to Temperature Differentials, Trans. Res. Rec. 1849 (2003) 166–173.CrossRefGoogle Scholar
  13. [13]
    M. M. Rahman, J. R. A. Grenfell, S. J. Arulanandam, A. Ianakiev, Influence of Thermal Segregation on Asphalt Pavement Compaction, Trans. Res. Rec. 2347 (1) (2013) 71–78.CrossRefGoogle Scholar
  14. [14]
    G. D. Airey, A. C. Collop, Mechanical and structural assessment of laboratory- and field-compacted asphalt mixtures, Inter. J. Pave. Eng. 17 (1) (2016) 50–63.CrossRefGoogle Scholar
  15. [15]
    M. Stroupgardiner, E. R. Brown, SEGREGATION IN HOTMIX ASPHALT PAVEMENTS, Caring National Association for Home Care Magazine 14 (10) (2000) 62–5.Google Scholar
  16. [16]
    J. Chen, Analysis on influence factors for hot mix asphalt segregation using heap test, Journal of Southeast University 39 (1) (2009) 117–120.Google Scholar
  17. [17]
    S. A. Cross, E. R. Brown, Effect of segregation on performance of hot-mix asphalt, Trans. Res. Rec. 1417 (1993) 117–117.Google Scholar
  18. [18]
    D. W. Mokarem, Use of the Digital Surface Roughness Meter in Virginia, Biotechniques 27 (3) (2006).Google Scholar
  19. [19]
    F. G. Praticò, R. Vaiana, A. Moro, The Dependence of Volumetric Parameters of Hot Mix Asphalts on Testing Methods, Inter. J. Pave. Eng. 26 (26) (2014) 45–53.Google Scholar
  20. [20]
    A. S. H. S. Hanna, M. J. J. Lee, C. L. Lee, Temperature-density relationship of hot-mix asphalt pavement after com, Canadian Journal of Civil Engineering 35 (12) (2008) 1468–1475.CrossRefGoogle Scholar
  21. [21]
    C. S. Hughes, K. K. Mcghee, G. W. Maupin Jr, The Next Step Toward End-Result Specifications for Hot-Mix Asphalt Materials and Construction, Biotechniques 27 (3) (2007) 323–342.Google Scholar
  22. [22]
    F. Hugo, D. H. Chen, J. Bilyeu, REPORT ON A COMPARISON OF THE EFFECTIVENESS OF TWO PAVEMENT REHABILITATION STRATEGIES ON US 281 NEAR, Archives of Pharmacal Research 36 (3) (2001) 345–352.Google Scholar
  23. [23]
    C. Rao, H. V. Quintus, R. L. Schmitt, Calibration of Nonnuclear Density Gauge Data for Accurate In-Place Density Prediction, Trans. Res. Rec. 2040 (2007) 123–136.CrossRefGoogle Scholar
  24. [24]
    M. J. Martínez-Echevarría, E. Tejeda, M. C. Rubio, F. Moreno, Evaluation of the Pavement Quality Indicator (PQI) for the on-site density measurement of asphalt emulsion mixes, Materiales De Construccion 63 (309) (2013) 93–104.CrossRefGoogle Scholar

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© Higher Education Press Limited Company 2019

Authors and Affiliations

  • Chuangmin Li
    • 1
    • 2
  • Fanbo Ning
    • 1
    • 2
  • Xinzhong Gan
    • 3
  • Yuanyuan Li
    • 1
    • 4
    Email author
  • Hechuan Li
    • 4
  1. 1.Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan ProvinceChangsha University of Science & TechnologyChangshaChina
  2. 2.School of Traffic and Transportation EngineeringChangsha University of Science and TechnologyChangshaPR China
  3. 3.Jiangxi Province Yichun Highway bureauYichunPR China
  4. 4.State Key Laboratory of Silicate Materials for ArchitecturesWuhan University of TechnologyWuhanPR China

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