[1] Saha J, Nassiri S, Bayat A, et al. Evaluation of the effects of Canadian climate conditions on the MEPDG predictions for flexible pavement performance[J]. International Journal of Pavement Engineering, 2014, 15(5): 392-401. DOI:10.1080/10298436.2012.752488.
[2] Wang H P, Yang J, Shi X Q, et al. Research on dynamic modulus and master curve of high modulus asphalt mixture[J]. Journal of Highway and Transportation Research and Development, 2015, 32(8): 12-17.(in Chinese)
[3] Obulareddy S. Fundamental characterization of Louisiana HMA mixtures for the 2002 mechanistic-empirical design guide[D]. Louisiana, USA: Louisiana State University, 2006.
[4] Shen S, Yu H, Willoughby K A, et al. Local practice of assessing dynamic modulus properties for Washington State mixtures[J]. Transportation Research Record, 2013, 2373: 89-99.
[5] Singh D, Zaman M, Commuri S. Evaluation of predictive models for estimating dynamic modulus of hot-mixture asphalt in Oklahoma[J]. Transportation Research Record, 2011, 2210: 57-72.
[6] Birgisson B, Sholar G, Roque R. Evaluation of a predicted dynamic modulus for Florida mixture[J]. Transportation Research Record, 2005, 1929: 200-207.
[7] Bari J, Witczak M W. Development of a new revised version of the Witczak E* predictive model for hot mixture asphalt mixtures[J]. Journal of the Association of Asphalt Paving Technologists, 2006, 75: 381-423.
[8] Azari H, Al-Khateeb G, Shenoy A, et al. Comparison of simple performance test E* of accelerated loading facility mixtures and prediction E*: use of NCHRP 1-37A and Witczaks new equations [J]. Transportation Research Record, 2007, 1998: 1-9.
[9] Ceylan H, Schwartz C W, Kim S, et al. Accuracy of predictive models for dynamic modulus of hot-mixture asphalt[J]. Journal of Materials in Civil Engineering, 2009, 21(6): 286-293. DOI:10.1061/(ASCE)0899-1561(2009)21:6(286).
[10] El-Badawy S, Bayomy F, Awed A. Performance of MEPDG dynamic modulus predictive models for asphalt concrete mixtures: local calibration for Idaho[J]. Journal of Materials in Civil Engineering, 2012, 24(11): 1412-1421. DOI:10.1061/(ASCE)MT.1943-5533.0000518.
[11] Wang H P, Yang J, Wang Z, et al. Investigation of fatigue and self-healing characteristics of asphalt mixtures[J]. Modern Transportation Technology, 2014, 11(4): 1-5.(in Chinese)
[12] El-Badawy, S M, Jeong M G, et al. Methodology to predict alligator fatigue cracking distress based on asphalt concrete dynamic modulus[J]. Transportation Research Record, 2009, 2095: 115-124.
[13] Tashman L, Elangovan M. Dynamic modulus of HMA and its relationship to actual and predicted field performance using MEPDG[J]. Journal of Performance of Constructed Facilities, 2012, 27(3): 334-345. DOI:10.1061/(ASCE)CF.1943-5509.0000328.
[14] Li J, Pierce L M, Uhlmeyer J. Calibration of flexible pavement in mechanistic-empirical pavement design guide for Washington State[J]. Transportation Research Record, 2009, 2095: 73-83.
[15] Kendall M. Rank correlation methods[M]. London: Charles Griffin and Co., 1948.