Dynamical Response of Vibratory Rollers during the Compaction of Asphalt Pavements
Publication: Journal of Engineering Mechanics
Volume 140, Issue 7
Abstract
Intelligent compaction (IC) of asphalt pavements is an emerging area of research that attempts to extend mechanistic-empirical design principles to the construction of asphalt pavements. These techniques monitor the vibrations of the compactor and vary the roller parameters in real time to ensure adequate and uniform compaction. Although these techniques are in various stages of field demonstration, their performance is still being verified. The lack of established theoretical foundations has limited the widespread acceptance of these techniques. In this paper, a viscoelastic-plastic (VEP) model is used to simulate the behavior of vibratory rollers during the compaction of asphalt pavements. The VEP model is shown to be relatively accurate, computationally tractable, and in a form that is conducive to numerical simulation. Comparison of the simulation results with data gathered during construction of asphalt pavements indicate that this model can serve as the basic theoretical foundation for the realization of intelligent compaction of asphalt pavements.
Get full access to this article
View all available purchase options and get full access to this article.
References
AASHTO. (2007). “Standard method of test for determining dynamic modulus of hot mix asphalt (HMA).” AASHTO TP 62, Washington, DC.
Åkesson, F. (2008). “Dynapac compaction analyzer and optimizer.” Proc., Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Anderegg, R. (2008). “Intelligent compaction GPS-based compaction control.” Proc., Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Anderegg, R., Felten, D. V., and Kaufmann, K. (2006). “Compaction monitoring using intelligent soil compactors.” Proc., GeoCongress 2006: Geotechnical Engineering in the Information Technology Age, ASCE, Reston, VA.
Anderegg, R., and Kaufmann, K. (2004). “Intelligent compaction with vibratory rollers: Feedback control systems in automatic compaction and compaction control.” Soil Mech., 1868(1), 124–134.
Beainy, F. (2011). “Non-contact sensor for the real-time measurement of the stiffness of asphalt pavements during its compaction.” Ph.D. dissertation, Univ. of Oklahoma, Norman, OK.
Beainy, F., Commuri, S., and Zaman, M. (2010). “Asphalt compaction quality control using artificial neural network.” Proc., 49th Conf. on Decision and Control, IEEE, New York, 4643–4648.
Beainy, F., Commuri, S., and Zaman, M. (2012). “Quality assurance of hot mix asphalt pavements using the intelligent asphalt compaction analyzer.” J. Constr. Eng. Manage., 178–187.
Beainy, F., Commuri, S., Zaman, M., and Syed, I. (2013). “Viscoelastic-plastic model of asphalt-roller interaction.” Int. J. Geomech., 581–594.
Burgers, M. (1935). “Considerations-model systems-phenomenological theories of relaxation and of viscosity, mechanical.” First Rep. on Viscosity and Plasticity, Nordemann Publishing, New York.
Chang, G., et al. (2008). Accelerated implementation of intelligent compaction technology for embankment subgrade soils, aggregate base, and asphalt pavement materials, Transtec Group, Office of Pavement Technology, Federal Highway Administration, Austin, TX.
Commuri, S., Mai, A., and Zaman, M. (2009). “Calibration procedures for the intelligent asphalt compaction analyzer.” J. Test. Eval., 37(5), 454–462.
Commuri, S., Mai, A., and Zaman, M. (2011). “Neural network–based intelligent compaction analyzer for estimating compaction quality of hot asphalt mixes.” J. Constr. Eng. Manage., 634–644.
Commuri, S., and Zaman, M. (2008). “A novel neural network-based asphalt compaction analyzer.” Int. J. Pavement Eng., 9(3), 177–188.
Commuri, S., Zaman, M., Singh, G., Mai, A., and Beainy, F. (2010). “Continuous real time measurement of pavement quality during construction.” Rep. No. OTCREOS7.1-10-F, Oklahoma Transportation Center, Midwest City, OK.
Connolly, C. (2008). “Asphalt manager intelligent compaction.” Proc., Transportation Pooled Fund Intelligent Compaction Systems Initial Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Dave, E., Buttlar, W., Paulino, G., and Hilton, H. (2006). “Graded viscoelastic approach for modeling asphalt concrete pavements.” Proc., Int. Conf. FGM IX, American Institute of Physics, College Park, MD, 736–741.
Dubravka, S., and Davor, H. (2008). “Simulation on vibratory roller-soil interaction.” Int. J. Adv. Eng., 2(1), 137–146.
Federal Highway Administration. (2006). “Intelligent compaction.” 〈www.intelligentcompaction.com〉 (Jul. 20, 2011).
Gallivan, V., Chang, G., and Horan, R. (2011). “Intelligent compaction for improving roadway construction.” Proc., GeoHunan Int. Conf., ASCE, Reston, VA, 117–124.
Hampton, T. V. (2009). “Intelligent compaction is on a roll.” ENR Southeast, 263(2), 54–57.
Kassem, E., Walubita, L., Scullion, T., Masad, E., and Wimsatt, A. (2008). “Evaluation of full-depth asphalt pavement construction using X-ray computed tomography and ground penetrating radar.” J. Perform. Constr. Facil., 408–416.
Kröber, W., Floss, R., and Wallrath, W. (2001). “Dynamic soil stiffness as quality criterion for soil compaction.” Geotechnics for roads, rail tracks, and earth structures, Balkema, Lisse, Netherlands.
Lavin, P. (2003). Asphalt pavements: A practical guide to design, production and maintenance for engineers and architects, Spon Press, New York.
Liu, Y., Dai, Q., and You, Z. (2009). “Viscoelastic model for discrete element simulation of asphalt mixtures.” J. Eng. Mech., 324–333.
Liu, Y., and You, Z. (2009). “Determining Burger’s model parameters of asphalt materials using creep-recovery testing data.” Proc., Pavements and Materials: Modeling, Testing, and Performance, Z. You, A. R. Abbas, and L. Wang, eds., ASCE, Reston, VA, 26–36.
Lodewikus, H. T. (2004). “Compaction of asphalt road pavements: using finite elements and critical state theory.” Ph.D. dissertation, Univ. of Twente, Enschede, Netherlands.
Masad, E., Koneru, S., Scarpas, T., Kassem, E., and Rajagopal, K. (2010). Modeling of hot-mix asphalt compaction: A thermodynamics-based compressible viscoelastic model, Texas Transportation Institute, Office of Acquisition Management, Federal Highway Administration, Washington, DC.
MathWorks. (2009). “Stateflow: Design and simulate state machines and control logic.” 〈http://www.mathworks.com/products/stateflow/〉 (Jul. 14, 2011).
Micaelo, R., Ribeiro, J., Azevedo, M., and Azevedo, N. (2009). “Discrete element modelling of field asphalt compaction.” Proc., 6th Int. Conf. on Maintenance and Rehabilitation of Pavements and Technological Control, International Society for Maintenance and Rehabilitation of Transportation Infrastructure, Transportation Research Board (TRB), Washington, DC.
Minchin, E., Swanson, D., Gruss, A., and Thomas, R. (2008). “Computer applications in intelligent compaction.” J. Comput. Civ. Eng., 243–251.
Navaratnarajah, S. (2006). “Performance characteristics of selected asphalt mixes: A laboratory and field study.” M.S. thesis, Univ. of Oklahoma, Norman, OK.
Nilsson, R., Hopman, P., and Isacsson, U. (2002). “Influence of different rheological models on predicted pavement responses in flexible pavements.” Int. J. Road Mater. Pavement Des., 3(2), 117–149.
Pronk, A. (2005). “The Huet–Sayegh model: A simple and excellent rheological model for master curves of asphaltic mixes.” Proc., R. Lytton Symp. on Mechanics of Flexible Pavements, ASCE, Reston, VA, 73–82.
Rakowski, S. (2008). “Intelligent compaction, CCV, IC.” Proc., Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Rawls, D., and Potts, D. (2008). “AccuGrade® compaction GPS mapping & measurement system.” Proc., Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Singh, D., Zaman, M., and Commuri, S. (2011). “Evaluation of predictive models for estimating dynamic modulus of HMA mixes used in Oklahoma.” Transportation Research Record 2210, Transportation Research Board, Washington, DC, 57–72.
Singh, D., Zaman, M., and Sesh, C. (2012). “Inclusion of aggregate angularity, texture, and form in estimating dynamic modulus of asphalt mixes.” Int. J. Road Mater. Pavement Des., 13(2), 327–344.
Summit Instrument. (2010). Rugged to accelerometers with superior zero g bias stability, Spectrum Sensors & Controls, Akron, OH.
Tarefder, R. (2003). “Laboratory and model prediction of rutting in asphalt concrete.” Ph.D. dissertation, Univ. of Oklahoma, Norman, OK.
Texas DOT. (2011). Pavement design guide, Austin, TX.
Thurner, H., and Sandström, Å. (2000). “Continuous compaction control.” Proc., European Workshop Compaction of Soils and Granular Materials, Presses Ponts et Chaussées, Paris, 237–246.
van Susante, P., and Mooney, M. (2008). “Capturing nonlinear vibratory roller compactor behavior through lumped parameter modeling.” J. Eng. Mech., 684–693.
Volvo. (2010). “Large asphalt compactors.” 〈http://www.volvoce.com/constructionequipment/na/en-us/products/compactors/largeasphalt/Pages/introduction.aspx〉 (Apr. 15, 2010).
Wang, L., Zhang, B., Wang, D., and Yue, Z. (2006). “Fundamental mechanics of asphalt compaction through FEM and DEM modeling.” Proc., Symp. on the Mechanics of Flexible Pavements, ASCE, Reston, VA, 45–63.
White, D., and Thompson, M. (2008). “Relationships between in situ and roller-integrated compaction measurements for granular soils.” J. Geotech. Geoenviron. Eng., 1763–1770.
Xu, Q., and Solaimanian, M. (2009). “Modelling linear viscoelastic properties of asphalt concrete by the Huet–Sayegh model.” Int. J. Pavement Eng., 10(6), 401–422.
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Feb 18, 2013
Accepted: Oct 14, 2013
Published online: Oct 16, 2013
Published in print: Jul 1, 2014
Discussion open until: Jul 3, 2014
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.