References
- Alsherri, A., and George, K.P., 1988. Reliability model for pavement performance. Journal of Transportation Engineering, 114 (3), 294–306.
- American Association of State Highway and Transportation Officials, 1985. AASHTO guide for design of pavement structures. Washington, DC: AASHTO.
- Caro, S., Castillo, D., and Sánchez-Silva, M., 2014. Methodology for modeling the uncertainty of material properties in asphalt pavements. Journal of Materials in Civil Engineering, 26 (3), 440–448.
- Castorena, C., et al., 2022. Ruggedness and interlaboratory studies for asphalt mixture performance tester (AMPT) cyclic fatigue test: phase II study. Washington, DC: Federal Highway Administration, Final report: FHWA-HRT-22-113.
- Dilip, D.M., and Sivakumar Babu, G.L., 2013. Methodology for pavement design reliability and back analysis using Markov chain Monte Carlo simulation. Journal of Transportation Engineering, 139 (1), 65–74.
- Ding, J., et al., 2020. Uncertainty quantification of simplified viscoelastic continuum damage fatigue model using the Bayesian inference-based Markov chain Monte Carlo method. Transportation Research Record: Journal of the Transportation Research Board, 2674 (4), 247–260.
- Ding, J., et al., 2021. Use of resampling method to construct variance index and repeatability limit of damage characteristic curve. Transportation Research Record: Journal of the Transportation Research Board, 2675 (7), 194–207.
- El-Basyouny, M., and Jeong, M.G., 2010. Probabilistic performance-related specifications methodology based on mechanistic–empirical pavement design guide. Transportation Research Record: Journal of the Transportation Research Board, 2151 (1), 93–102.
- Ghanbari, A., Underwood, B.S., and Kim, Y.R., 2020. Development of a rutting index parameter based on the stress sweep rutting test and permanent deformation shift model. International Journal of Pavement Engineering, 23 (2), 387–399.
- Gudipudi, P.P., and Underwood, B.S., 2016. Reliability analysis of fatigue life prediction from the viscoelastic continuum damage model. Transportation Research Record: Journal of the Transportation Research Board, 2576 (1), 91–99.
- Hall, K.D., et al., 2012. Reliability-based mechanistic–empirical pavement design with statistical methods. Transportation Research Record: Journal of the Transportation Research Board, 2305 (1), 121–130.
- Kassem, H., Chehab, G., and Najjar, S., 2019. Development of probabilistic viscoelastic continuum damage model for asphalt concrete. Transportation Research Record: Journal of the Transportation Research Board, 2673 (5), 285–298.
- Kassem, H., Chehab, G., and Najjar, S., 2020. Effect of asphalt mixture components on the uncertainty in dynamic modulus mastercurves. Transportation Research Record: Journal of the Transportation Research Board, 2674 (5), 135–148.
- Khazanovich, L., Wojtkiewicz, S.F., and Velasquez, R., 2008. MEPDG-RED: framework for reliability analysis with mechanistic-empirical pavement design procedure. In: Presented at the 87th annual meeting of the transportation research board. Washington, DC.
- Kim, Y.R., et al., 2020. Hot-mix asphalt performance related specification based on viscoelastoplastic continuum damage (VEPCD) models. Washington, DC: Federal Highway Administration, Final report: FHWA-HRT-21-093.
- Liu, J., et al., 2017. Variability of composition, volumetric, and mechanic properties of hot mix asphalt for quality assurance. Journal of Materials in Civil Engineering, 29 (3), D4015004.
- Mehrez, L., et al., 2015. Stochastic identification of linear-viscoelastic models of aged and unaged asphalt mixtures. Journal of Materials in Civil Engineering, 27 (4), 04014149.
- Mohammad, L. N., et al., 2013. Levels of variability in volumetric and mechanical properties of asphalt mixtures. Journal of Materials in Civil Engineering, 25 (10), 1424–1431.
- Rema, A., and Swamy, A.K., 2018. Quantification of uncertainty in the master curves of viscoelastic properties of asphalt concrete. Advances in Civil Engineering Materials, 7 (2), 149–162.
- Thyagarajan, S., et al., 2011. Efficient simulation techniques for reliability analysis of flexible pavements using the mechanistic-empirical pavement design guide. Journal of Transportation Engineering, 137 (11), 796–804.
- Timm, D.H., Newcomb, D.E., and Galambos, T.V., 2000. Incorporation of reliability into mechanistic-empirical pavement design. Transportation Research Record: Journal of the Transportation Research Board, 1730 (1), 73–80.
- Ullidtz, P., et al., 2010. CalME, a mechanistic–empirical program to analyze and design flexible pavement rehabilitation. Transportation Research Record: Journal of the Transportation Research Board, 2153 (1), 143–152.
- Wang, Y.D., et al., 2020. Development of preliminary transfer functions for performance predictions in FlexPAVE™. Construction and Building Materials, 266, 121182.