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Suggested Citation:"References for Appendices A, B, and C." National Academies of Sciences, Engineering, and Medicine. 2021. Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction: Phase III Results. Washington, DC: The National Academies Press. doi: 10.17226/26133.
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170 Arrhenius, S. 1887. The viscosity of aqueous mixtures (in German). Zeitschrift für Physikalische Chemie, 1: 285–298. Chehab, G. R. 2002. Characterization of Asphalt Concrete in Tension Using a ViscoElastoPlastic Model. Ph.D. dissertation. North Carolina State University, Raleigh, NC. Das, P. K., B. Birgisson, D. Jelagin, and N. Kringos. 2015. Investigation of the asphalt mixture morphology influence on its ageing susceptibility. Materials and Structures, 48(4): 987–1000. Davison, R. R., J. A. Bullin, C. J. Glover, J. M. Chaffin, G. D. Peterson, K. M. Lunsford, M. S. Lin, M. Liu, and M. A. Ferry. 1994. Verification of an Asphalt Aging Test and Development of Superior Recycling Agent and Asphalts. Federal Highway Administration Final Report FHWA/TX-94/1314-1F, FHWA, Washington, D.C. Farrar, M. J., J. P. Planche, R. W. Grimes, and Q. Qin. 2014. The Universal Simple Aging Test (USAT): Simulating Short- and Long-Term Hot and Warm Mix Oxidative Aging in the Laboratory. In Asphalt Pavements: 79–87. https://doi.org/10.1201/b17219-17. Fonseca, O. A., and M. W. Witczak. 1996. A Prediction Methodology for the Dynamic Modulus of In-Place Aged Asphalt Mixtures. Journal of the Association of Asphalt Paving Technologists, Vol. 65. Glaser, R., T. F. Turner, J. L. Loveridge, S. L. Salmans, and J. P. Planche. 2015. Fundamental Properties of Asphalts and Modified Asphalt, Volume III. Aging Master Curve (FP 10) and Aging Rate Model (FP 11). Technical White Paper, Western Research Institute, Laramie, WY. Mirza, M. W. and M. W. Witczak. 1995. Development of a global aging system for short- and long-term aging of asphalt cements. Journal of the Association of Asphalt Paving Technologists, 64: 393–430. Pellinen, T. K., M. W. Witczak, and R. F. Bonaquist. 2004. Asphalt mix master curve construction using sigmoidal fitting function with non-linear least squares optimization. In Recent Advances in Materials Characterization and Modeling of Pavement Systems, pp. 83 –101. 2004. Rowe, G., G. Baumgardner, and M. Sharrock. 2009. Functional forms for master curve analysis of bituminous materials. In Advanced Testing and Characterization of Bituminous Materials, Two Volume Set, pp. 97–108. Wang, Y., A. Norouzi, and Y. R. Kim. 2016. Comparison of Fatigue Cracking Performance of Asphalt Pavements Predicted by Pavement ME and LVECD Programs. Transportation Research Record: Journal of the Transpor- tation Research Board, No. 2590, pp. 44–55. Yousefi Rad, F., N. Roohi Sefidmazgi, and H. Bahia. 2014. Application of diffusion mechanism to study the degree of blending between fresh and RAP binder in the DSR. Transportation Research Record: Journal of the Trans- portation Research Board, No. 2444: 71–77. References for Appendices A, B, and C

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The accurate characterization of the in situ aging of asphalt pavement materials over the service life of the pavement is of utmost importance to the implementation of mechanistic empirical (ME) pavement design and analysis methods.

The TRB National Cooperative Highway Research Program's NCHRP Research Report 973: Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction: Phase III Results refines the aging procedure developed in the original NCHRP Research Report 871: Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction. The updates field calibrate the original project aging model (PAM), develop procedures to estimate the PAM inputs, and develop a framework by which the predicted changes in asphalt binder properties that are due to oxidative aging can be related to corresponding changes in asphalt mixture performance.

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