Field investigation of intelligent compaction for hot mix asphalt resurfacing

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.

Keywords

intelligent compaction / compaction meter value (CMV) / semivariogram / multivariate analysis

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

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

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

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

[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

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

[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

[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

[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

[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

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

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

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

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

[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

[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

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

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.

RIGHTS & PERMISSIONS

2016 Higher Education Press and Springer-Verlag Berlin Heidelberg