Pavement layer thickness variability evaluation and effect on performance life

References

• Aguiar-Moya, J.P., Banerjee, A., and Prozzi, J.A., 2009. Sensitivity analysis of the M-E PDG using measured probability distributions of pavement layer thickness. Proceedings of 88th Transportation Research Board Annual Meeting, paper no. 09-0412.
   Google Scholar
• Al-Qadi, I.L. and Lahouar, S., 2005. Measuring layer thicknesses with GPR–Theory to practice. Construction and Building Materials, 19 (10), 763–772. doi: 10.1016/j.conbuildmat.2005.06.005
   Web of Science ®Google Scholar
• Dalla Valle, P., 2015. Reliability in pavement design. Thesis (PhD). University of Nottingham.
   Google Scholar
• Dalla Valle, P. and Thom, N.H., 2015. Variability in pavement design. Journal on Pavement Engineering and Asphalt Technology, 16 (2), 50–67.
   Web of Science ®Google Scholar
• Dalla Valle, P., and Thom, N.H., 2016a. Improvement to method of equivalent thicknesses (MET) for calculation of critical strains for flexible pavements. International Journal of Pavement Engineering. https://doi.org/10.1080/10298436.2016.1238698.
   Web of Science ®Google Scholar
• Dalla Valle, P. and Thom, N.H., 2016b. Reliability in pavement design. Proceedings of the 6th eurasphalt & eurobitume congress, Prague, Czech Republic.
   Google Scholar
• Darter, M., Hudson, W.R., and Brown, J.L., 1973. Statistical variations of flexible pavement properties and their consideration in design. Proceedings of the Association of Asphalt Technologists, 42, 589–613.
   Google Scholar
• Highways Agency, 2006a. Traffic assessment, HD 24, Design Manual for Roads and Bridges (DMRB), Vol. 7: Pavement design and maintenance – pavement design and construction. The Stationary Office Ltd, London.
   Google Scholar
• Highways Agency, 2006b. Pavement design, HD 26, Design Manual for Roads and Bridges (DMRB), Vol. 7: Pavement design and maintenance – pavement design and construction. The Stationary Office Ltd, London.
   Google Scholar
• Highways Agency, 2008. Data for pavement assessment, HD 29, Design Manual for Roads and Bridges (DMRB), Vol. 7: Pavement design and maintenance – pavement design and construction. The Stationary Office Ltd, London.
   Google Scholar
• Highways Agency, 2009. Design guidance for road pavement foundations (Draft HD25), IAN 73/06 Revision 1, Design Manual for Roads and Bridges (DMRB), Vol. 7: Pavement design and maintenance – pavement design and construction. The Stationary Office Ltd, London.
   Google Scholar
• Highways Agency, 2016. Manual of contract documents for highway works (MCHW), Volume 1 – Specification for Highway Works [viewed 2016-12-01]. Available from: http://www.standardsforhighways.co.uk/mchw/vol1/index.htm.
   Google Scholar
• Loizos, A. and Plati, C., 2007. Accuracy of pavement thickness estimation using different ground penetrating radar analysis approaches. NDT&E International, 40, 147–157. doi: 10.1016/j.ndteint.2006.09.001
   Web of Science ®Google Scholar
• Luo, Z., et al., 2018. Effect of uncertain material property on system reliability in mechanistic-empirical pavement design. Construction and Building Materials, 172, 488–498. doi: 10.1016/j.conbuildmat.2018.03.236
   Web of Science ®Google Scholar
• Luo, Z., Xiao, F., and Sharma, R., 2014. Efficient reliability-based approach for mechanistic-empirical asphalt pavement design. Construction and Building Materials, 64, 157–165. doi: 10.1016/j.conbuildmat.2014.04.071
   Web of Science ®Google Scholar
• Maji, A. and Das, A., 2008. Reliability considerations of bituminous pavement design by mechanistic-empirical approach. International Journal of Pavement Engineering, 9 (1), 19–31. doi: 10.1080/10298430600997240
   Google Scholar
• Maser, K.R., et al., 2006. NDE methods for quality assurance of new pavement thickness. International Journal of Pavement Engineering, 7, 1–10. doi: 10.1080/10298430500501985
   Google Scholar
• Maser, K.R., et al., 2013. NDE methods for quality assurance of new pavement thickness. International Journal of Pavement Engineering, 7 (1), 1–10. doi: 10.1080/10298430500501985
   Google Scholar
• Maser, K.R. and Vandre, B., 2006. Network-level pavement structure assessment using automated processing of Ground Penetrating Radar (GPR) data. Proceedings of the 2006 airfield and highway pavement specialty conference, 719–728.
   Google Scholar
• Noureldin, A.S., et al., 1994. Estimation of standard deviation of predicted performance of flexible pavements using AASHTO Model. TRB, 1449, 46–56.
   Google Scholar
• Ollis, J.E., 1997. Statistical tolerances for concrete road pavement surfaces. Master’s dissertation, University of Wollongong, Australia.
   Google Scholar
• Powell, W.D., et al., 1984. The structural design of bituminous roads. LR 1132 report. Transport and Road Research Laboratory, Crowthorne, UK.
   Google Scholar
• Ranadive, M.S. and Tapase, A.B., 2016. Parameter sensitive analysis of flexible pavement. International Journal of Pavement Research and Technology, 9 (6), 466–472. doi: 10.1016/j.ijprt.2016.12.001
   Google Scholar
• Selezneva, O., Jiang, Y.J., and Mdadenovic, G., 2002. Evaluation and analysis of LTPP pavement layer thickness data. Federal Highway Administration, report FHWA-RD-03-041.
   Google Scholar
• Tighe, S., 2001. Guidelines for probabilistic pavement life cycle cost analysis. TRB, 1769, 28–38.
   Google Scholar
• 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, 73–80. doi: 10.3141/1730-09
   Google Scholar
• Zaghloul, S., et al., 2005. Implementation of a reliability-based backcalculation analysis. Transportation Research Record: Journal of the Transportation Research Board, 1905, 97–106. doi: 10.1177/0361198105190500111
   Google Scholar
• Zhao, S., Shangguan, P., and Al-Qadi, I.L., 2015. Application of regularized deconvolution technique for predicting pavement thin layer thicknesses from ground penetrating radar data. NDT & E International, 73, 1–7. doi: 10.1016/j.ndteint.2015.03.001
   Web of Science ®Google Scholar