Technical Papers
Mar 11, 2022

Application of Dynamic Stability Criterion in Evaluating Field Rutting of Asphalt Pavements Using the Wheel Tracking Test

Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 148, Issue 2

Abstract

In this study, the application of the dynamic stability (DS) criterion to evaluate rutting of asphalt pavements using the wheel tracking test is presented considering field pavement conditions. A simplified model estimating the rut depth of asphalt pavements was first developed considering the DS, the number of load cycles (N), the maximum shear stress (τmax), and load duration (t). To develop the model, indirect tensile (IDT) and uniaxial compressive strength (UCS) tests were conducted to measure cohesion (c) and internal friction angle (ϕ) of three asphalt mixtures. In addition, seven types of asphalt mixtures were evaluated to determine their DS using the wheel tracking test. To determine the average maximum shear stress, a predictive regression equation was established through the KENLAYER program with various combinations of asphalt concrete (AC) modulus, subbase and subgrade resilient moduli, and layer thicknesses. Based on the rutting performance of six pavement sections from the WesTrack test, the rutting model was validated and applied to different AC layer scenarios. It was found that the proposed model is accurate in estimating the rut depth of AC layers under varying load and environmental field conditions. Application of the DS criterion in evaluating rut depth for asphalt concrete is proposed using the developed rutting model.

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Data Availability Statement

No data, models, or code were generated or used during the study.

Acknowledgments

The authors would like to acknowledge partial support by Sejong University and the University of Transport and Communications.

References

ARA Inc., ERES Consultants Division. 2004. Guide for mechanistic–empirical design of new and rehabilitated pavement structures. Washington, DC: Transportation Research Board of the National Academies.
Chaturabong, P., and H. U. Bahia. 2017. “Mechanisms of asphalt mixture rutting in the dry Hamburg wheel tracking test and the potential to be alternative test in measuring rutting resistance.” Constr. Build. Mater. 146 (Aug): 175–182. https://doi.org/10.1016/j.conbuildmat.2017.04.080.
Christensen, D. W., Jr., and R. Bonaquist. 2002. “Use of strength tests for evaluating the rut resistance of asphalt concrete.” J. Assoc. Asphalt Paving Technol. 71: 692–711.
Christensen, D. W., Jr., T. Pellinen, and R. F. Bonaquist. 2003. “Hirsch model for estimating the modulus of asphalt concrete.” J. Assoc. Asphalt Paving Technol. 72: 97–121.
Hao, P., and Y. Hachiya. 2004. “Evaluation indicator of asphalt mixture rutting susceptibility.” J. Test. Eval. 32 (3): 194–201.
Kim, K. W., Y. S. Doh, and S. N. Amirikhanian. 2004. “Feasibility of deformation strength for estimation of rut resistance of asphalt concrete.” Road Mater. Pavement Des. 5 (3): 303–322. https://doi.org/10.1080/14680629.2004.9689974.
Kim, W. J., V. P. Le, H. J. Lee, and H. T. Phan. 2017. “Calibration and validation of a rutting model based on shear stress to strength ratio for asphalt pavements.” Constr. Build. Mater. 149 (Sep): 327–337. https://doi.org/10.1016/j.conbuildmat.2017.05.053.
Le, V. P., H. J. Lee, J. M. Flores, J. Baek, and H. M. Park. 2017. “Development of a simple asphalt concrete overlay design scheme based on mechanistic–empirical approach.” Road Mater. Pavement Des. 18 (3): 630–645. https://doi.org/10.1080/14680629.2016.1182059.
Le, V. P., H. J. Lee, J. M. Flores, W. J. Kim, and J. Baek. 2016. “New approach to construct master curve of damaged asphalt concrete based on falling weight deflectometer back-calculated moduli.” J. Transp. Eng. 142 (11): 04016048. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000881.
Li, Q., H. J. Lee, and S. Y. Lee. 2011. “Permanent deformation model based on shear properties of asphalt mixtures: Development and calibration.” Transp. Res. Rec. 2210 (1): 81–89. https://doi.org/10.3141/2210-09.
TRB (Transportation Research Board). 2005. Recommended performance-related specification for hot-mix asphalt construction results of the WesTrack project. Washington, DC: TRB.
Walubita, L. F., A. N. M. Faruk, L. Fuentes, A. Prakoso, S. Dessouky, B. Naik, and T. Nyamuhokya. 2019a. “Using the simple punching shear test (SPST) for evaluating the HMA shear properties and predicting field rutting performance.” Constr. Build. Mater. 224 (Nov): 920–929. https://doi.org/10.1016/j.conbuildmat.2019.07.133.
Walubita, L. F., L. Fuentes, S. I. Lee, I. Dawd, and E. Mahmoud. 2019b. “Comparative evaluation of five HMA rutting-related laboratory test methods relative to field performance data: DM, FN, RLPD, SPST, and HWTT.” Constr. Build. Mater. 215 (Aug): 737–753. https://doi.org/10.1016/j.conbuildmat.2019.04.250.
Walubita, L. F., L. Fuentes, A. Prakoso, L. M. R. Pianeta, J. J. Komba, and B. Naik. 2020. “Correlating the HWTT laboratory test data to field rutting performance of in-service highway sections.” Constr. Build. Mater. 236 (Mar): 117552. https://doi.org/10.1016/j.conbuildmat.2019.117552.
Walubita, L. F., T. P. Nyamuhokya, B. Naik, I. Holleran, and S. Dessouky. 2018. “Sensitivity analysis and validation of the simple punching shear test (SPST) for screening HMA mixes.” Constr. Build. Mater. 169 (Apr): 205–214. https://doi.org/10.1016/j.conbuildmat.2018.02.198.
Zhang, W., A. E. Alvarez, S. I. Lee, A. Torres, and L. F. Walubita. 2013. “Comparison of flow number, dynamic modulus, and repeated load tests for evaluation of HMA permanent deformation.” Constr. Build. Mater. 44 (Jul): 391–398. https://doi.org/10.1016/j.conbuildmat.2013.03.013.
Zhang, W., X. Chen, S. Shen, L. N. Mohammad, B. Cui, S. Wu, and A. Raza Khan. 2021. “Investigation of field rut depth of asphalt pavements using hamburg wheel tracking test.” J. Transp. Eng. Part B: Pavements 147 (1): 04020091. https://doi.org/10.1061/JPEODX.0000250.
Zhang, W., S. Shen, S. Wu, and L. N. Mohammad. 2017. “Prediction model for field rut depth of asphalt pavement based on Hamburg wheel tracking test properties.” J. Mater. Civ. Eng. 29 (9): 04017098. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001946.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part B: Pavements
Journal of Transportation Engineering, Part B: Pavements
Volume 148Issue 2June 2022

History

Received: Aug 27, 2021
Accepted: Jan 31, 2022
Published online: Mar 11, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 11, 2022

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Authors

Affiliations

Huy Thien Phan [email protected]
Ph.D. Student, Dept. of Civil and Environmental Engineering, Sejong Univ., Seoul 05006, Republic of Korea; Lecturer, Dept. of Civil Engineering, Vinh Univ., Vinh 43100, Vietnam. Email: [email protected]
Lecturer, Faculty of Civil Engineering, Univ. of Transport and Communications, Ha Noi 100000, Vietnam (corresponding author). ORCID: https://orcid.org/0000-0002-0544-0537. Email: [email protected]
Hyun Jong Lee, Ph.D. [email protected]
Professor, Dept. of Civil and Environmental Engineering, Sejong Univ., 209, Neundong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea. Email: [email protected]

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Cited by

  • Performance and Life Cycle Assessment of Recycled Mixtures Incorporating Reclaimed Asphalt and Waste Cooking Oil as Rejuvenator: Emphasis on Circular Economy, Journal of Materials in Civil Engineering, 10.1061/JMCEE7.MTENG-17478, 36, 7, (2024).
  • A Study on the Genetic Algorithm Optimization of an Asphalt Mixture’s Viscoelastic Parameters Based on a Wheel Tracking Test, Infrastructures, 10.3390/infrastructures8120169, 8, 12, (169), (2023).

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