Estimating Asphalt Concrete Modulus of Existing Flexible Pavements for Mechanistic-Empirical Rehabilitation Analyses
Publication: Journal of Materials in Civil Engineering
Volume 31, Issue 11
Abstract
The modulus of the existing asphalt concrete (AC) layer, back-calculated from nondestructive pavement tests, is a crucial input for an accurate overlay design in the pavement mechanistic-empirical (ME) design system. However, nondestructive testing (NDT) data for this purpose are not always available for network-level rehabilitation analyses. To address this issue, this paper proposes a regularized regression method to accurately estimate the moduli with data readily available from pavement management systems, including distress, structural information, and climatic conditions. The data from the Long-Term Pavement Performance (LTPP) database were used for model training. Prediction performance comparisons among three regularization regression methods (ridge, elastic net, and lasso) and the ordinary least-squares regression were conducted. The results showed that the elastic net regression outperformed the other three methods in terms of predictability and interpretability. The mean squared errors of the regularization regression methods were found to be considerably lower than that of the ordinary least-squares regression. The moduli estimated by the regularization methods were very close to the back-calculated ones from the LTPP database, which demonstrated the feasibility of estimating the moduli of existing pavement when in paucity of NDT data. After applying the estimated moduli in the pavement ME design system, the predicted alligator cracking was closer to the measured data than those without these data.
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References
AASHTO. 1993. AASHTO guide for design of pavement structures 1993. Washington, DC: AASHTO.
AASHTO. 2010. Mechanistic-empirical pavement design guide: A manual of practice. Washington, DC: AASHTO.
Adeli, H., and M. Wu. 1998. “Regularization neural network for construction cost estimation.” J. Constr. Eng. Manage. 124 (1): 18–24. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(18).
ARA (Applied Research Associates). 2004. Guide for mechanistic-empirical design of new and rehabilitated pavement structures. Champaign, IL: ARA.
Blanchet, F. G., P. Legendre, and D. Borcard. 2008. “Forward selection of explanatory variables.” Ecology 89 (9): 2623–2632. https://doi.org/10.1890/07-0986.110.1890/07-0986.1.
Blandin, S., L. E. Ghaoui, and A. Bayen. 2009. “Kernel regression for travel time estimation via convex optimization.” In Proc., 48th IEEE Conf. on Decision and Control (CDC), Held Jointly with 2009 28th Chinese Control Conf., 4360–4365. New York: IEEE. https://doi.org/10.1109/CDC.2009.5400534.
Carvalho, R., M. Ayres, H. Shirazi, O. Selezneva, and M. Darter. 2011. Impact of design features on pavement response and performance in rehabilitated flexible and rigid pavements. Elkridge, MD: Applied Research Associates.
Dong, Q., and B. Huang. 2015. “Failure probability of resurfaced preventive maintenance treatments: Investigation into long-term pavement performance program.” Transp. Res. Rec. 2481: 65–74. https://doi.org/10.3141/2481-09.
Efron, B. 1983. “Estimating the error rate of a prediction rule: Improvement on cross-validation.” J. Am. Stat. Assoc. 78 (382): 316–331. https://doi.org/10.1080/01621459.1983.10477973.
El-Badawy, S. M., M. G. Jeong, and M. El-Basyouny. 2009. “Methodology to predict alligator fatigue cracking distress based on asphalt concrete dynamic modulus.” Transp. Res. Rec. 2095: 115–124. https://doi.org/10.3141/2095-12.
Garg, N., and M. R. Thompson. 1998. “Mechanistic-empirical evaluation of the Mn/ROAD low volume road test sections.”. Urbana, IL: Univ. of Illinois.
Gong, H., Q. Dong, B. Huang, and X. Jia. 2016. “Effectiveness analyses of flexible pavement preventive maintenance treatments with LTPP SPS-3 experiment data.” J. Transp. Eng. 142 (2): 04015045 https://doi.org/10.1061/(ASCE)TE.1943-5436.0000818.
Gong, H., B. Huang, and X. Shu. 2018a. “Field performance evaluation of asphalt mixtures containing high percentage of RAP using LTPP data.” Constr. Build. Mater. 176 (Jul): 118–128. https://doi.org/10.1016/j.conbuildmat.2018.05.007.
Gong, H., B. Huang, X. Shu, and S. Udeh. 2017. “Local calibration of the fatigue cracking models in the mechanistic-empirical pavement design guide for Tennessee.” Road Mater. Pavement Des. 18 (S3): 130–138. https://doi.org/10.1080/14680629.2017.1329868.
Gong, H., Y. Sun, Z. Mei, and B. Huang. 2018b. “Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks.” Constr. Build. Mater. 190 (Nov): 710–718. https://doi.org/10.1016/j.conbuildmat.2018.09.087.
Gong, H., Y. Sun, X. Shu, and B. Huang. 2018c. “Use of random forests regression for predicting IRI of asphalt pavements.” Constr. Build. Mater. 189 (Nov): 890–897. https://doi.org/10.1016/j.conbuildmat.2018.09.017.
Haider, S. W., and K. Chatti. 2009. “Effect of design and site factors on fatigue cracking of new flexible pavements in the LTPP SPS-1 experiment.” Int. J. Pavement Eng. 10 (2): 133–147. https://doi.org/10.1080/10298430802169390.
Hall, K. D., D. X. Xiao, and K. C. P. Wang. 2011. “Calibration of the mechanistic-empirical pavement design guide for flexible pavement design in Arkansas.” Transp. Res. Rec. 2226: 135–141. https://doi.org/10.3141/2226-15.
Hall, K. T., C. E. Correa, and A. L. Simpson. 2002. LTPP data analysis: Effectiveness of maintenance and rehabilitation options. Mundelein, IL: National Cooperative Highway Research Program.
Hoegh, K., L. Khazanovich, and M. Jensen. 2010. “Local calibration of mechanistic-empirical pavement design guide rutting model: Minnesota road research project test sections.” Transp. Res. Rec. 2180: 130–141. https://doi.org/10.3141/2180-15.
Hoerl, A. E., and R. W. Kennard. 1970. “Ridge regression: Biased estimation for nonorthogonal problems.” Technometrics 12 (1): 55–67. https://doi.org/10.1080/00401706.1970.10488634.
James, G., D. Witten, T. Hastie, and R. Tibshirani. 2013. An introduction to statistical learning. Vol. 103 of Springer Texts in Statistics. New York: Springer.
Johanneck, L., and L. Khazanovich. 2010. “Comprehensive evaluation of effect of climate in mechanistic-empirical pavement design guide predictions.” Transp. Res. Rec. 2170: 45–55. https://doi.org/10.3141/2170-06.
Kim, S., H. Ceylan, D. Ma, and K. Gopalakrishnan. 2014. “Calibration of pavement ME design and mechanistic-empirical pavement design guide performance prediction models for Iowa pavement systems.” J. Transp. Eng. 140 (10): 04014052. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000704.
Kim, Y. R., B. O. Hibbs, and Y.-C. Lee. 1995. “Temperature correction of deflections and backcalculated asphalt concrete moduli.” Transp. Res. Rec. 1473: 55–62.
Koh, K., S.-J. Kim, and S. Boyd. 2007. “An interior-point method for large-scale L1-regularized logistic regression.” J. Mach. Learn. Res. 8: 1519–1555.
Labi, S., G. Lamptey, and S.-H. Kong. 2007. “Effectiveness of microsurfacing treatments.” J. Transp. Eng. 133 (5): 298–307. https://doi.org/10.1061/(ASCE)0733-947X(2007)133:5(298).
Losa, M., R. Bacci, and P. Leandri. 2008. “A statistical model for prediction of critical strains in pavements from deflection measurements.” Supplement, Road Mater. Pavement Des. 9 (S1): 373–396. https://doi.org/10.1080/14680629.2008.9690175.
Loulizi, A., I. Al-Qadi, S. Lahouar, and T. Freeman. 2002. “Measurement of vertical compressive stress pulse in flexible pavements: Representation for dynamic loading tests.” Transp. Res. Rec. 1816: 125–136. https://doi.org/10.3141/1816-14.
Lytton, R. 1989. “Backcalculation of pavement layer properties.” In Nondestructive testing of pavements and backcalculation of moduli, edited by G. Baladi and A. Bush. West Conshohocken, PA: ASTM.
Park, H. M., Y. R. Kim, and S. Park. 2002. “Temperature correction of multiload-level falling weight deflectometer deflections.” Transp. Res. Rec. 1806: 3–8. https://doi.org/10.3141/1806-01.
Park, H. M., Y. R. Kim, and S. W. Park. 2005. “Assessment of pavement layer condition with use of multiload-level falling weight deflectometer deflections.” Transp. Res. Rec. 1905: 107–116. https://doi.org/10.1177/0361198105190500112.
Pierce, L. M., and M. Ginger. 2014. Implementation of the AASHTO mechanistic-empirical pavement design guide and software. Washington, DC: Transportation Research Board.
Rabbi, M. F., and D. Mishra. 2019. “Using FWD deflection basin parameters for network-level assessment of flexible pavements.” Int. J. Pavement Eng. https://doi.org/10.1080/10298436.2019.1580366.
Richter, C., and J. Rauhut. 1989. “SHRP plans for nondestructive deflection testing in the development of pavement performance prediction models.” In Nondestructive testing of pavements and backcalculation of moduli, edited by G. Baladi and A. Bush. West Conshohocken, PA: ASTM.
Sun, H., and Q. Wu. 2011. “Least square regression with indefinite kernels and coefficient regularization.” Appl. Comput. Harmon. Anal. 30 (1): 96–109. https://doi.org/10.1016/j.acha.2010.04.001.
Tibshirani, R. 1996. “Regression shrinkage and selection via the lasso.” J. R. Stat. Soc. Ser. B (Methodological) 58 (1): 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x.
Varma, S., M. E. Kutay, and E. Levenberg. 2013. “Viscoelastic genetic algorithm for inverse analysis of asphalt layer properties from falling weight deflections.” Transp. Res. Rec. 2369: 38–46. https://doi.org/10.3141/2369-05.
Von Quintus, H. L., and A. L. Simpson. 2002. Back-calculation of layer parameters for LTPP test sections volume II: Layered elastic analysis for flexible and rigid pavements. Austin, TX: Fugro-BRE.
Wang, Y. 2013. “Ordinal logistic regression model for predicting AC overlay cracking.” J. Perform. Constr. Facil. 27 (3): 346–353. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000327.
Wang, Y. 2016. “The effects of using reclaimed asphalt pavements (RAP) on the long-term performance of asphalt concrete overlays.” Constr. Build. Mater. 120 (Sep): 335–348. https://doi.org/10.1016/j.conbuildmat.2016.05.115.
Wei, D., and H. Liu. 2013. “An adaptive-margin support vector regression for short-term traffic flow forecast.” J. Intell. Transp. Syst. 17 (4): 317–327. https://doi.org/10.1080/15472450.2013.771107.
Xu, B., S. Ranji Ranjithan, and Y. Richard Kim. 2002. “New relationships between falling weight deflectometer deflections and asphalt pavement layer condition indicators.” Transp. Res. Rec. 1806: 48–56. https://doi.org/10.3141/1806-06.
Zaghloul, S., A. Ayed, A. A. E. Halim, N. Vitillo, and R. Sauber. 2005. “Investigations of environmental and traffic impacts on Mechanistic–Empirical Pavement Design Guide predictions.” Transp. Res. Rec. 1967: 148–159. https://doi.org/10.1177/0361198106196700115.
Zou, H., and T. Hastie. 2005. “Regularization and variable selection via the elastic net.” J. R. Stat. Soc.: Ser. B (Statistical Methodology) 67 (2): 301–320. https://doi.org/10.1111/j.1467-9868.2005.00503.x.
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Published In
Journal of Materials in Civil Engineering
Volume 31 • Issue 11 • November 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 30, 2018
Accepted: May 13, 2019
Published online: Aug 19, 2019
Published in print: Nov 1, 2019
Discussion open until: Jan 19, 2020
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