Viscoelastic-Plastic Model of Asphalt-Roller Interaction
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VIEW THE REPLYPublication: International Journal of Geomechanics
Volume 13, Issue 5
Abstract
There are several factors that influence the quality of an asphalt pavement. While pavement design, material selection, and environmental parameters play a big role in the quality and useful life of the pavement, adequate quality control during the compaction process is also necessary to achieve the desired quality. Previous research has addressed the effect of material selection, pavement design and construction, and environmental factors on the long-term performance of asphalt pavement. However, very little work has been done to address the effect of the compaction process on the quality of pavement. A proper understanding of the interaction between the roller and an asphalt pavement is necessary to develop closed-loop control algorithms for intelligent compaction (IC) of asphalt pavements. While several variants of IC techniques are being offered in the market, there is a need for an accurate dynamical model of the compaction process to validate these methods. In this paper, a viscoelastic-plastic (VEP) model of an asphalt pavement is developed that can effectively represent the dynamical properties of the asphalt mat during compaction. This model is then integrated with a mathematical model of a vibratory compactor to study the response of the coupled system during compaction. The VEP model is based on Burger’s model and is used to represent the dynamical properties of the asphalt pavement. The parameters of the model are first estimated from the dynamic modulus master curves of the asphalt mix. These parameters are then continuously updated to accurately represent the properties of the asphalt mat during compaction. Detailed mathematical equations are developed that relate the changes in the asphalt mat to the vibratory response of the roller during compaction. Numerical simulation of the VEP model shows that the response of the coupled system can be used to study the compaction of asphalt pavements. Comparison of the simulation results with data gathered during construction of asphalt pavements indicate that this model could serve as a theoretical foundation for intelligent compaction of asphalt pavement.
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References
AASHTO. (2007). “Standard method of test for determining dynamic modulus of hot mix asphalt (HMA).” AASHTO TP-62, Washington, DC.
Abbas, A., Masad, E., Papagiannakis, T., and Harman, T. (2007). “Micromechanical modeling of the viscoelastic behavior of asphalt mixtures using the discrete-element method.” Int. J. Geomech., 7(2), 131–139.
Åkesson, F. (2008). “Dynapac compaction analyzer and optimizer.” 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.” ASCE 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.” Transportation Research Record 1868, Transportation Research Board, Washington, DC, 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., 2010 49th IEEE Conf. on Decision and Control, IEEE Control Systems Society, New York, 4643–4648.
Beainy, F., Commuri, S., and Zaman, M. (2011). “Quality assurance of hot mix asphalt pavements using the intelligent asphalt compaction analyzer.” J. Constr. Eng. Manage., 138(2), 178–187.
Bohuslav, T. R. (2008). “Pavement design guide.” Manual notice 2008-1, Texas Department of Transportation, Austin, TX.
Bonaquist, R., and Christensen, D. W. (2005). “Practical procedure for developing dynamic modulus master curves for pavement structural design.” Transportation Research Record 1929, Transportation Research Board, Washington, DC, 208–217.
Cao, Y. W., Liang, N. X., Qin, M., and Lu, Z. F. (2010). “Research on the correlation between vibration acceleration of roller and compaction degree of subgrade soil.” ASCE 10th Int. Conf. of Chinese Transportation Professionals, ASCE, Reston, VA, 2974–2982.
Chen, J., and Huang, L. (2000). “Developing an aging model to evaluate engineering properties of asphalt paving binders.” Mater. Struct., 33(9), 559–565.
Cominsky, R. J., Killingsworth, B. M., Anderson, R. M., Anderson, D. A., and Crockford, W. W. (1998). Quality control and acceptance of superpave-designed hot mix asphalt, National Research Council, Washington, DC.
Commuri, S. (2009). Phase 1 Progress Rep. for Agreement DTFH61-08-G-0002, Federal Highway Administration, Washington, DC.
Commuri, S., Mai, A., and Musharraf, Z. (2009). “Calibration procedures for the intelligent asphalt compaction analyzer.” J. Test. Eval., 37(5), 454–462.
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, Oklahoma Transportation Center, Midwest City, OK.
Connolly, C. (2008). “Asphalt manager intelligent compaction.” 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.
Desai, C. S. (2008). “Unified constitutive modeling for pavement materials with emphasis on creep, rate and interface behavior.” Proc., Int. Conf. on Advances in Transportation Geotechnics, CRC, Nottingham, U.K., 15–25.
Dubravka, S., and Davor, H. (2008). “Simulation on vibratory roller-soil interaction.” Int. J. Adv. Eng., 2(1), 137–146.
Gallivan, V., Chang, G., and Horan, R. (2011). “Intelligent compaction for improving roadway construction.” ASCE GeoHunan Int. Conf., ASCE, Reston, VA, 117–124.
Goh, S. W., You, Z., Williams, C., and Li, X. (2011). “Preliminary dynamic modulus criteria of HMA For field rutting of asphalt pavements: Michigan’s experience.” J. Transp. Eng., 137(1), 37–45.
Hossain, M., Mulandi, M. J., Keach, L., Hunt, M., and Romanoschi, S. (2006). “Intelligent compaction control.” ASCE Airfield and Highway Pavements Specialty Conf., ASCE, Reston, VA, 304–316.
Ismail, M., Ikhouane, F., and Rodellar, J. (2009). “The hysteresis Bouc-Wen Model, a survey.” Arch. Comput. Meth. Eng., 16(2), 161–188.
Kim, Y., Allen, D., and Little, D. (2007). “Computational constitutive model for predicting nonlinear viscoelastic damage and fracture failure of asphalt concrete mixtures.” Int. J. Geomech., 7(2), 102–110.
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, A. Gomes Correia and H. Brandl, eds., Balkema, Lisse, Netherlands.
Lavin, P. (2003). Asphalt pavements: A practical guide to design, production and maintenance for engineers and architects, Spon, New York.
Liu, Y., Dai, Q., and You, Z. (2009). “Viscoelastic model for discrete element simulation of asphalt mixtures.” J. Eng. Mech., 135(4), 324–333.
Liu, Y., and You, Z. (2009). “Determining Burger’s model parameters of asphalt materials using creep-recovery testing data.” Pavements and materials: Modeling, testing, and performance, 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.
Loulizi, A., Flintsch, G. W., and McGhee, K. K. (2007). “Determination of in-place hot-mix asphalt layer modulus for rehabilitation projects by a mechanistic-empirical procedure.” Transportation Research Record 2037, Transportation Research Board, Washington, DC, 53–62.
Masad, E., Koneru, S., Scarpas, T., Kassem, E., and Rajagopal, K. (2010). “Modeling of hot-mix asphalt compaction: A thermodynamics-based compressible viscoelastic model.” Rep. FHWA-HRT-10-065, Texas Transportation Institute, Office of Acquisition Management, Federal Highway Administration (FHWA), Washington, DC.
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.
Minchin, E., Swanson, D., Gruss, A., and Thomas, R. (2008). “Computer applications in intelligent compaction.” J. Comput. Civ. Eng., 22(4), 243–251.
Mooney, M. A., Facas, N. W., Musimbi, O. M., White, D. J., and Vennapusa, P. K. (2010). “Intelligent soil compaction systems.” NCHRP Rep. 676, National Cooperative Highway Research Program, Washington, DC.
Murali Krishnan, J., Rajagopal, K. R., Masad, E., and Little, D. N. (2006). “Thermomechanical framework for the constitutive modeling of asphalt concrete.” Int. J. Geomech., 6(1), 36–45.
Nilson, R., Hopman, P., and Isacsson, U. (2002). “Influence of different rheological models on predicted pavement responses in flexible pavements.” Road Mater. Pavement Des., 3(2), 117–149.
Pellinen, T. K., and Witczak, M. W. (2002). “Use of stiffness of hot-mix asphalt as a simple performance test.” Transportation Research Record 1789, Transportation Research Board, Washington, DC, 80–90.
Pronk, A. (2005). “The Huet–Sayegh model: A simple and excellent rheological model for master curves of asphaltic mixes.” Lytton Symp. on Mechanics of Flexible Pavements, ASCE, Reston, VA.
Quintus, L., Rao, C., Titi, H., Bhattaacharya, B., and English, R. (2010). Evaluation of intelligent compaction technology for densification of roadway subgrades and structural layers, Wisconsin Department of Transportation, Madison, WI.
Rakowski, S. (2008). “Intelligent compaction for soils and asphalt.” Transportation Pooled Fund Intelligent Compaction Systems Initial Task Working Group Meeting, Federal Highway Administration, Washington, DC.
Rawls, D., and Potts, D. (2008). “Accugrade compaction GPS mapping & measurement system.” Transportation Pooled Fund Intelligent Compaction Systems Initial Task Working Group Meeting, Federal Highway Administration (FHWA), Washington, DC.
Shen, P. H., and Lin, S. W. (2008). “Mathematic modeling and characteristic analysis for dynamic system with asymmetrical hysteresis in vibratory compaction.” Meccanica, 43(5), 505–515.
Shenoy, A., and Romero, P. (2002). “Standardized procedure for analysis of dynamic modulus (E*) data to predict asphalt pavement distresses.” Transportation Research Record 1789, Transportation Research Board, Washington, DC, 173–182.
Singh, D., Beainy, F., Mai, A., Commuri, S., and Musharraf, Z. (2010). “In-situ assessment of stiffness during the construction of HMA pavements.” Int. J. Pavement Res. Technol., 4(3), 131–139.
Summit Instruments. (2010). Rugged to accelerometers with superior zero g bias stability, Spectrum Sensors & Controls, Akron, OH.
van Susante, P., and Mooney, M. (2008). “Capturing nonlinear vibratory roller compactor behavior through lumped parameter modeling.” J. Eng. Mech., 134(8), 684–693.
Thurner, H., and Sandström, Å. (2000). “Continuous compaction control.” European Workshop Compaction of Soils and Granular Materials, Presses Ponts et Chaussées, Paris, 237–246.
Witczak, M., Kaloush, K., Pellinen, M., El-Basyouny, M., and Quintus, V. H. (2002). “Simple performance test for superpave mix design.” NCHRP Rep. 465, National Cooperative Highway Research Program, Washington, DC.
Woo, W. J., Chowdhury, A., and Glover, C. J. (2008). “Field aging of unmodified asphalt binder in three Texas long-term performance pavements.” Transportation Research Record 2051, Transportation Research Board, Washington, DC, 15–22.
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.
Zapata, C. E., and Houston, W. N. (2008). “Calibration and validation of the enhanced integrated climatic model for pavement design.” NCHRP Rep. 602, National Cooperative Highway Research Program, Washington, DC.
Information & Authors
Information
Published In
International Journal of Geomechanics
Volume 13 • Issue 5 • October 2013
Pages: 581 - 594
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Nov 7, 2011
Accepted: Jul 6, 2012
Published online: Feb 9, 2013
Published in print: Oct 1, 2013
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