Skip to main content
Log in

Field investigation of intelligent compaction for hot mix asphalt resurfacing

  • Research Article
  • Published:
Frontiers of Structural and Civil Engineering Aims and scope Submit manuscript

Abstract

Intelligent compaction (IC) is a relatively new technology for asphalt paving industry. The present study evaluated the effectiveness and potential issues of the IC technology for flexible pavement resurfacing construction using two field projects. In the first project, a geostatistical semivariogram model was established and the parameters derived from it were compared with univariate statistical parameters for the Compaction Meter Value (CMV) data. Further analyses illustrated the effect of temperature on the CMV value and compaction uniformity. In the second project, a multivariate analysis was performed between in situ tests and IC data. The possibility of combining various IC data to predict the asphalt layer density and improve the current quality control and assurance system was discussed.

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. Handbook, Hot-Mix Asphalt Paving. American Association of State Highway and Transportation Officials (AASHTO). PO Box, 2000, 96716: 20090–26716

  2. FHWA, Accelerated implementation of intelligent compaction technology for embankment subgrade soils, aggregate base, and asphalt pavement materials—final report. No. FHWA-IF-12–002, 2011

  3. Nieves A. Intelligent Compaction, No. FHWA-HIF-13–051, 2013

  4. Mooney M A, Adam D. Vibratory roller integrated measurement of earthwork compaction: An overview. In: Proceedings of the 7th International Symposium on Field Measurements in Geomechanics- FMGM. 2007

    Google Scholar 

  5. Mooney M A. Intelligent soil compaction systems. Transportation Research Board, 2010

    Google Scholar 

  6. Sandström Å. Numerical simulation of a vibratory roller on cohesionless soil. Geodynamik report, Stockholm. 1994, 22

    Google Scholar 

  7. Anderegg R, von Felten D A, Kaufmann K. Compaction monitoring using intelligent soil compactors. Proc. Geo-Congress, 2006

    Google Scholar 

  8. Anderegg R, Kaufmann K. Intelligent compaction with vibratory rollers: Feedback control systems in automatic compaction and compaction control. Transportation Research Record. Journal of the Transportation Research Board, 1868, 2004: 124–134

    Google Scholar 

  9. Sandström A, Pettersson C. Intelligent systems for QA/QC in soil compaction. In: Proceedings of the 83rd Annual Transportation Research Board Meeting. 2004

    Google Scholar 

  10. Thurner H. Quality Assurance and Self Control in Road Construction Advanced Measurement Technology. In: Proceedings of the 4th International Symposium on Infrastructure Construction Systems and Technologies. Munich, Bauma, 2001

    Google Scholar 

  11. Commuri S, Mai A T, Zaman M. Neural network–based intelligent compaction analyzer for estimating compaction quality of hot asphalt mixes. Journal of Construction Engineering and Management, 2011, 137(9): 634–644

    Article  Google Scholar 

  12. Thurner H, Sandstrom A. Continuous compaction Control, CCC. European Workshop Compaction of Soils and Granular Materials, Presses Ponts et Chaussées, Paris, France, 2000, 237–246

    Google Scholar 

  13. Vennapusa P K, White D J, Morris M D. Geostatistical analysis for spatially referenced roller-integrated compaction measurements. Journal of Geotechnical and Geoenvironmental Engineering, 2009, 136(6): 813–822

    Article  Google Scholar 

  14. Samaras A A, Lamm R, Treiterer J. Application of continuous dynamic compaction control for earthworks in railroad construction. Transportation Research Record. 1991, 1309

    Google Scholar 

  15. White D J, Thompson M J. Relationships between in situ and rollerintegrated compaction measurements for granular soils. Journal of Geotechnical and Geoenvironmental Engineering, 2008, 134(12): 1763–1770

    Article  Google Scholar 

  16. Isaaks E H, Srivastava R M. An Introduction to Applied Geostatistics. New York, Oxford: Oxford University Press, 1990

    Google Scholar 

  17. Olea R A. A six-step practical approach to semivariogram modeling. Stochastic Environmental Research and Risk Assessment, 2006, 20(5): 307–318

    Article  MathSciNet  Google Scholar 

  18. Xu Q, Chang P, George K, Vennapusab P, White D J, Horan R D, Larry M, Victor Lee G, eds. Hot Mix Asphalt Intelligent Compaction–A Case Study. Transportation Research Board 89th Annual Meeting, 2010

  19. Xu Q, Chang G K. Evaluation of intelligent compaction for asphalt materials. Automation in Construction, 2013, 30: 104–112

    Article  Google Scholar 

  20. Anderegg R, Kaufmann K. Intelligent compaction with vibratory rollers: Feedback control systems in automatic compaction and compaction control. Transportation Research Record. Journal of the Transportation Research Board, 1868, 2004: 124–134

    Google Scholar 

  21. Wiser L. LTPP Computed Parameter: Dynamic Modulus, No. FHWA-HRT-10–035, 2010

    Google Scholar 

Download references

Acknowledgements

This project was financially sponsored by the Tennessee Department of Transportation (TDOT) and the Federal Highway Administration (FHWA). The University of Tennessee researchers would also like to acknowledge the help and assistance from TDOT staffs and engineers, IC roller vendors, and construction contractors. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the TDOT, nor do the contents constitute a standard, specification, or regulation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Baoshan Huang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, W., Shu, X., Huang, B. et al. Field investigation of intelligent compaction for hot mix asphalt resurfacing. Front. Struct. Civ. Eng. 11, 47–55 (2017). https://doi.org/10.1007/s11709-016-0362-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11709-016-0362-x

Keywords

Navigation