Improved method of considering air void and asphalt content changes on long-term performance of asphalt concrete pavements

REFERENCES

• AASHTO, 2008. Mechanistic–empirical pavement design guide, interim edition: a manual of practice. Washington, DC: AASHTO.
   Google Scholar
• Al-Khateeb, G., Shenoy, A., Gibson, N., and Harman, T., 2006. A new simplistic model for dynamic modulus predictions of asphalt paving mixtures. Journal of the Association of Asphalt Paving Technologists (AAPT), 75, 1254–1293.
   Google Scholar
• Andrei, D., Witczak, M.W., and Mirza, M.W., 1999. Development of a revised predictive model for the dynamic (complex) modulus of asphalt mixtures. NCHRP 1-37A Interim Team Report, University of Maryland.
   Google Scholar
• Apeagyei, A.K., Diefenderfer, B.K., and Diefenderfer, S.D., 2012. Development of dynamic modulus master curves for hot mix asphalt with abbreviated testing temperatures. International Journal of Pavement Engineering, 13 (2), 98–109.
   Web of Science ®Google Scholar
• Bari, J. and Witczak, M.W., 2006. Development of a new revised version of the Witczak E* predictive model for hot mix asphalt mixtures. Journal of the Association of Asphalt Paving Technologists (AAPT), 75, 381–424.
   Google Scholar
• Bonaquist, R., 2008. Refining the simple performance tester for use in routine practice. Washington, DC: National Cooperative Highway Research Program, NCHRP Report 614.
   Google Scholar
• Ceylan, H., Gopalakrishnan, K., and Kim, S., 2008. Advanced approaches to hot-mix asphalt dynamic modulus prediction. Canadian Journal of Civil Engineering, 35 (7), 699–707.
   Web of Science ®Google Scholar
• Christensen, D.W., Pellinen, T.K., and Bonaquist, R.F., 2003. Hirsch model for estimating the modulus of asphalt concrete. Journal of the Association of Asphalt Paving Technologists (AAPT), 72, 97–121.
   Google Scholar
• Dongre, T., Myers, L., D'Angelo, J., Paugh, C., and Gudimettla, J., 2005. Field evaluation of Witczak and Hirsch models for predicting dynamic modulus of hot-mix asphalt. Journal of the Association of Asphalt Paving Technologists (AAPT), 73, 381–442.
   Google Scholar
• Dougan, C.E., Stephens, J.E., Mahoney, J., and Hansen, G., 2003. E^* – dynamic modulus test protocol – problems and solutions. Storrs, CT: Connecticut Transportation Institute, Report Number CT-SPR-0003084-F-03-3.
   Google Scholar
• Jeong, M.G., 2010. Implementation of simple performance test procedure in hot mix asphalt quality assurance program. PhD Thesis, Arizona State University, Tempe, AZ.
   Google Scholar
• Lynn, T., James, R.S., Wu, P.S., and Jared, D.M., 2007. Effect on aggregate degradation on volumetric properties of Georgia's hot-mix asphalt. Presented at 86th annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Minitab, I., 2006. MINITAB Statistical Software. Version: Release 15.1 for Windows, Arizona State University, Arizona.
   Google Scholar
• NCHRP Project 944-A, June 2010. Validating an endurance limit for HMA pavements: laboratory experiment and algorithm development. Tempe, AZ: Arizona State University, Quarterly Progress Report.
   Google Scholar
• National Research Council, 2004. Guide for mechanistic-empirical design of new and rehabilitated pavement structures final report. Washington, DC: National Council for Highway Research Program, National Research Council.
   Google Scholar
• Pellinen, T.K., 2001. Investigation of the use of dynamic modulus as an indicator of hot-mix asphalt performance. PhD DissertationTempe, AZ: Civil Engineering Department, Arizona State University.
   Google Scholar
• Pellinen, T. and Witczak, M.W., 1998. Assessment of the relationship between advanced material characterization parameters and the volumetric properties of a MDOT superpave mix. Submitted to Maryland Department of Transportation State Highway Administration. Department of Civil Engineering, University of Maryland at College Park, MD.
   Google Scholar
• Sakhaei Far, M.S., Underwood, B.S., Kim, Y.R., Puccinelli, J., and Jackson, N., 2010. Development of artificial neural network predictive models for populating the dynamic modulus of LTPP sections. Transportation Research Record: Journal of the Transportation Research Board, 2181, 88–97.
   Web of Science ®Google Scholar
• Schwartz, C.W., 2005. Evaluation of the Witczak dynamic modulus prediction model. Presented at the 84th annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Witczak, M.W. and Moulthrop, J.,2011. A performance-related specification for hot-mixed asphalt. Washington, DC: Transportation Research Board, National Research Council, NCHRP Report 704.
   Google Scholar
• Witczak, M.W., Kaloush, K.E., Pellinen, T.K., El-Basyouny, M., and Von Quintus, H., 2002. Simple performance test for superpave mix design. Washington, DC: Transportation Research Board-National Research Council, NCHRP Report 465.
   Google Scholar