Open Access
MATEC Web Conf.
Volume 120, 2017
International Conference on Advances in Sustainable Construction Materials & Civil Engineering Systems (ASCMCES-17)
Article Number 07003
Number of page(s) 11
Section Transportation and Pavement
Published online 09 August 2017
  1. Kim, Y. R., Editor (2009): “Modeling of Asphalt Concrete”, ASCE Press, McGraw Hill. [Google Scholar]
  2. Witczak, M.W., (2005): “Use of the Dynamic Modulus (E*) Test as a Simple Performance Test for Asphalt Pavement Systems (AC Permanent Deformation Distress)”, Volume I of IV Preliminary Draft Final Report, NCHRP Project 9-19: Superpave Support and Performance Models Management, Arizona State University. [Google Scholar]
  3. Andrei, D., Witczak, M. W., and Mirza, M. W, (1999): “Development of A Revised Predictive Model for the Dynamic (Complex) Modulus of Asphalt Mixtures”, Inter Team Technical Rep. prepared for the NCHRP 1-37A Project, Dept. of Civil Engineering, Univ. of Maryland, College Park, MD. [Google Scholar]
  4. Bari, J., and Witczak, M. W., (2007): “New Predictive Models for the Viscosity and Complex Shear Modulus of Asphalt Binders for Use with the Mechanistic-Empirical Pavement Design Guide”, Transportation Research Record 2001, Transportation Research Board, Washington, D.C., 9–19. [Google Scholar]
  5. Khattab A. M., El-Badawy S. M., Al Hazmi A. A., Elmwafi M., (2014): “Evaluation of Witczak E* Predictive Models for the Implementation of AASHTOWare-Pavement ME Design in the Kingdom of Saudi Arabia”, Construction and Building Materials, V (64): pp. (360–9). [CrossRef] [Google Scholar]
  6. Christensen Jr., D. W., Pellinen, T. K., & Bonaquist, R. F., (2003): “Hirsch Model for Estimating the Modulus of Asphalt Concrete”, Asphalt Paving Technology, Lexington, KY: Journal of the Association of Asphalt Paving Technologists, pp. (97–121). [Google Scholar]
  7. Bari, J., and Witczak, M. W., (2006): “Development of A New Revised Version of the Witczak E* Predictive Models for Hot Mix Asphalt Mixtures”, J. Assoc. Asphalt Paving Technol., Vol. 75, pp. (381–417). [Google Scholar]
  8. Witczak M., El-Basyouny M., El-Badawy S., (2007): “Incorporation of the New (2005) E* Predictive Model in the MEPDG”, NCHRP 1-40D Final Report Addendum, Arizona State University, Tempe, Arizona. [Google Scholar]
  9. El-Badawy, S., Bayomy, F., and Awed, A., (2012): “Performance of MEPDG Dynamic Modulus Predictive Models for Asphalt Concrete Mixtures - Local Calibration for Idaho”, ASCE’s Journal of Materials in Civil Engineering, Volume 24, Issue 11:1412–1421. [CrossRef] [Google Scholar]
  10. Ceylan, H., Schwartz, C. W., Kim, S., and Gopalakrishnan, K.,(2009): “Accuracy of predictive Models for Dynamic Modulus of Hot-Mix Asphalt,” Journal of Materials in Civil Engineering, Vol. 21, No. 6, pp. 286–293. [CrossRef] [Google Scholar]
  11. Martinez, F. O., and Angelone, S. M., (2009) “Evaluation of Different Predictive Dynamic Modulus Models of Asphalt Mixtures Used in Argentina, Bearing Capacity of Roads, Railways, and Airfields”, Tutumluer & Al-Qadi (eds), Taylor & Francis Group, London. [Google Scholar]
  12. Bayomy, F., Abu Abdo, A., Weaver, T., Darveshi, P., Nielsen, R., Jung, S.J., and Baek, S., (2010): “Development and Evaluation of Performance Tests to Enhance Superpave Mix Design and its Implementation in Idaho. Phase A: Evaluation of Mix Resistance to Deformation,” Final Report-Part 1 of ITD project No. RP 181, USDOT Project No. DTOS59-06-G-00029, NIATT Report N09-10A, University of Idaho, pp. 160. [Google Scholar]
  13. El-Badawy, S., Awed, A., and Bayomy, F., (2011): “Evaluation of the MEPDG Dynamic Modulus Prediction Models for Asphalt Concrete Mixtures”, Proc., 1st Integrated Transportation and Development Institute Congress, I. Al-Qadi and S. Murrell, eds., ASCE, Reston, VA, pp. (576–585). [CrossRef] [EDP Sciences] [Google Scholar]
  14. Azari, H., Al-Khateeb, G., Shenoy, A., and Gibson, N. (2007). “Comparison of Simple Performance Test E* of Accelerated Loading Facility Mixtures and Prediction E* Use of NCHRP 1-37A and Witczak’s New Equations.” Transportation Research Record 1998, Transportation Research Board, Washington, D.C., 1–9. [Google Scholar]
  15. Yousefdoost, S., Vuong, B., Rickards, I., Armstrong, P., and Sullivan, B. (2013): “Evaluation of Dynamic Modulus Predictive Models for Typical Australian Asphalt Mixes”, Delivering New Age Solutions: 15th AAPA International Flexible Pavements Conference, 22-25 September, Royal International Conference Centre, Brisbane. [Google Scholar]
  16. Hou, H., Wang, T., Wu, S., Xue, Y., Tan, R., Chen, J., and Zhou, M., (2016): “Investigation on the Pavement Performance of Asphalt Mixture Based on Predicted Dynamic Modulus”, Construction and Building Materials; 106:11–17. [CrossRef] [Google Scholar]
  17. Kim, R., King, M., and Momen, M. (2005). “Typical Dynamic Moduli Values of Hot Mix Asphalt in North Carolina and their Prediction.” Transportation Research Board 84th Annual Meeting Compendium of Papers 05-2568 (CD-ROM), Washington, D.C. [Google Scholar]
  18. Obulareddy, S., (2006): “Fundamental Characterization of Louisiana HMA Mixtures for the 2002 Mechanistic-Empirical Design Guide”, Master Thesis, Louisiana State Univ., Baton Rouge, LA. [Google Scholar]
  19. Awed, A, (2010): “Material Characterization of HMA for MEPDG Implementation in Idaho”, Master’s Thesis, Univ. of Idaho, Moscow, ID. [Google Scholar]
  20. Sakhaeifar, M., Kim, R., and Kabir, P., (2015): “New Predictive Models for the Dynamic Modulus of Hot Mix Asphalt”, Construction and Building Materials; 76:221–231. [CrossRef] [Google Scholar]
  21. Georgouli, K., Loizos, A., and Plati, C. (2016): “Calibration of Dynamic Modulus Predictive Model”, Construction and Building Materials; 102:65–75. [CrossRef] [Google Scholar]
  22. Ministry of Transport (MOT) in the Kingdom of Saudi Arabia. Hot Asphalt Mix Design System Using Superpave System Detailed in Asphalt Institute SP-2 and The AASHTO 2005 Standards. SUPERPAVE Coding System in KSA, Version: 1/2006. [Google Scholar]
  23. AASHTO, (2006): “Standard Method of Test for Viscosity Determination of Asphalt Binder Using Rotational Viscometer”, AASHTO Designation: T48-97, Washington, D.C., USA. [Google Scholar]
  24. AASHTO, (2006): “Standard Method of Test Determining the Rheological Properties of Asphalt Binder Using a Dynamic Shear Rheometer (DSR)”, AASHTO Designation: T315-06, Washington, D.C., USA. [Google Scholar]
  25. AASHTO, (2011). Standard Method of Test for Determining Dynamic Modulus of Hot Mix Asphalt Concrete Mixtures, AASHTO Designation: TP 342-11, American Association of State Highway and Transportation Officials, Washington, D.C., USA. [Google Scholar]
  26. ARA, Inc., ERES Consultants Division (2004). Guide for Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures, NCHRP 1-37A Final Report, Transportation Research Board, National Research Council, Washington, D.C. [Google Scholar]
  27. Garcia G, Thompson M. (2007). HMA Dynamic Modulus Predictive Models –A Review. Research Report FHWA-ICT-07-005, Urbana, IL. [Google Scholar]
  28. ASTM. (2009). “Standard Viscosity-Temperature Chart for Asphalts.” ASTM D2493/D2493M-09, West Conshohocken, PA. [Google Scholar]
  29. Ceylan H., Gopalakrishnan K., Kim S. (2008), Advanced Approaches to Hot-Mix Asphalt Dynamic Modulus Prediction. Canadian Journal of Civil Engineering. 35(7):699–707. [CrossRef] [Google Scholar]
  30. Pellinen TK. (2001), Investigation of the Use of Dynamic Modulus as an Indicator of Hot-Mix Asphalt Performance: PhD Dissertation, Arizona State University, Tempe, Arizona. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.