Skip to main content
Log in

Evaluation and selection of sealants and fillers using principal component analysis for cracks in asphalt concrete pavements

  • Cementitious materials
  • Published:
Journal of Wuhan University of Technology-Mater. Sci. Ed. Aims and scope Submit manuscript

Abstract

The objective of this paper was to develop a comprehensive evaluation method and index to evaluate the performance of sealants and fillers for cracks in asphalt concrete pavements using the method of principal component analysis. The performance experiments including cone penetration, softening point, flow, resilience and tension at low temperature respectively were conducted by reference of ASTM D5329 for eight sealants and fillers often used in China. There by a principal component model was developed and weight of every index was calculated. The experimental results show that there are significantly different performances for sealants and fillers often used in China. Principal component analysis is an objective method that evaluates and selects the performance of sealants and fillers for cracks in asphalt concrete pavements.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Hou Y, Wang LB, Yue P T, et al. Modeling Mode I Cracking Failure in Asphalt Binder by Using Nonconserved Phase-field Model[J]. Journal of Materials in Civil Engineering, 2014, 26(4): 684–691

    Article  Google Scholar 

  2. Hu J, Qian Z, Chen L. Fracture Behavior of Epoxy Asphalt Pavement on Steel Bridges based on Optical Fiber Sensing Technology and Numerical Simulation[J]. Journal of Wuhan University of Technology-Materials Science Edition, 2014, 29(4): 858 -862

    Article  Google Scholar 

  3. Tarefder R, Ahmad M. Evaluating the Relationship Between Permeability and Moisture Damage of Asphalt Concrete Pavements[J]. Journal of Materials in Civil Engineering, 2014, 04014172

    Google Scholar 

  4. Masson JF, Collins P, Bundalo-Perc S, et al. Variations in Composition and Rheology of Bituminous Crack Sealants for Pavement Maintenance[J]. Transportation Research Record, 2005, 1933: 107–112

    Article  Google Scholar 

  5. Li F, Li TG, Shi XP. Evaluation on High-temperature Adhesion Performance of Hot-applied Sealant for Asphalt Pavement[J]. Journal of Wuhan University of Technology-Materials Science Edition, 2014, 29(6): 1237 -1241

    Article  Google Scholar 

  6. Hajj EY, Loria LG, Sebaaly PE, et al. Effective Timing for Two Sequential Aapplications of Slurry Seal on Asphalt Pavement[J]. Journal of Transportation Engineering, 2013, 139(5): 476–484

    Article  Google Scholar 

  7. Li F, Huang SC, Xu J, et al. Research on Testing Methods for Low Temperature Performance of Sealants and Fillers for Cracks in Asphalt Pavements[J]. Journal of Highway and Transportation Reseach and Development, 2008, 25(9): 95–98

    Google Scholar 

  8. Sun HD, Fan WY, Shi JT, et al. Study on Adhesive Property of SACsealant for Cracks in Asphalt Pavement[J]. Journal of China University of Petroleum (Edition of Natural Science), 2016, 40(5): 159–165

    Google Scholar 

  9. Tan YQ, Guo M, Cao LP, Zhang L. Performance Optimization of Composite Modified Asphalt Sealant Based on Rheological Behavior[J]. Construction and Building Materials, 2013, 47: 799–805

    Article  Google Scholar 

  10. Hasan O, Pranshoo S, Seyed SY, et al. Field Validation of Laboratory-Predicted Low-Temperature Performance of Hot-Poured Crack Sealants[J]. Transportation Research Record, 2014, 2431(1): 57–66

    Google Scholar 

  11. Li F, Huang SC, Xu J, et al. Performance Evaluation and Technical Requirement of Sealant and Filler in Asphalt Pavement[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 7–11

    Google Scholar 

  12. ASTM D5329–04, Standard Test Methods for Sealants and Fillers, Hot-applied, for Joints and Cracks in Asphaltic and Portland Cement Concrete Pavements [S].

  13. Li B, Han S, Xu OM, et al. Evaluation of Asphalt Pavement Performance based on Principal Component Analysis[J]. Journal of Chang'an University -Natural Science Edition, 2009, 29(3): 15–18

    Google Scholar 

  14. Chen J, Liu L, Zhou Z, et al. Optimization of Mining Methods based on Combination of Principal Component Analysis and Neural Networks[J]. Journal of Central South University-Science and Technology, 2010, 41(5): 1965–1972

    Google Scholar 

  15. Zhang YJ, Gregory M, Wang ML. Estimation of Pavement Macrotexture by Principal Component Analysis of Acoustic Measurements[J]. Journal of Transportation Engineering, 2014, 140(2): 04013004

    Article  Google Scholar 

  16. Bianchini A. Pavement Maintenance Planning at the Network Level with Principal Component Analysis[J]. Journal of Infrastructure Systems, 2014, 20(2): 04013013

    Article  Google Scholar 

  17. Palau C, Arregui F, Carlos M. Burst Detection in Water Networks using Principal Component Analysis[J]. Journal of Water Resources Planning and Management, 2012, 138(1): 47–54

    Article  Google Scholar 

  18. Liu J, Cheng W, Zhang T. Principal Factor Analysis for Forecasting Diurnal Water-Demand Pattern Using Combined Rough-Set and Fuzzy-Clustering Technique[J]. Journal of Water Resources Planning and Management, 2013, 139(1): 23–33

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bo Li  (李波).

Additional information

Funded by the National Natural Science Foundation of China (Nos. 51408287 and 51668038), the Rolls Supported by Program for Changjiang Scholars and Innovative Research Team in University(IRT_15R29), the Distinguished Young Scholars Fund of Gansu Province(1606RJDA318), the Natural Science Foundation of Gansu Province (1506RJZA064), and the Excellent Program of Lanzhou Jiaotong University(201606)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, B., Ren, X., Li, Y. et al. Evaluation and selection of sealants and fillers using principal component analysis for cracks in asphalt concrete pavements. J. Wuhan Univ. Technol.-Mat. Sci. Edit. 32, 408–412 (2017). https://doi.org/10.1007/s11595-017-1611-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11595-017-1611-0

Key words

Navigation