Influence of Slow-Moving Nature of Super Heavy Load (SHL) Vehicles on the Service Life of Pavement Structures
Publication: Airfield and Highway Pavements 2021
ABSTRACT
Trucks transferring super heavy load (SHL) typically weigh several folds of the permissible weight limits set forth by regulatory agencies. Operation of such vehicles with heavy wheel loads and nonconventional axle arrangements can result in substantial loss of service life of transportation facilities. Such detrimental impacts are more significant, considering the slow-moving nature of SHLs and time-dependent behavior of viscoelastic asphalt layers. This was the motivation for our research team to develop a framework to quantify pavement life reduction (PLR) associated with the slow-moving nature of SHL vehicles. To achieve this objective, our research team initially deployed portable weight-in-motion (P-WIM) devices to ten sites with high frequency of SHLs in Texas. Subsequently, nondestructive field tests such as falling-weight-deflectometer (FWD) and ground-penetrating-radar (GPR) were performed during summer and winter months for back-calculation of the layer moduli. The field-derived data were in turn incorporated into a 3D finite element code for the characterization of pavement responses under different SHL-vehicle speeds. The numerical simulation results showed that slow movement of the SHL vehicle can essentially impart higher level of damages on the pavement structures compared to the same vehicle traveling at conventional highway speed. The increase in the cumulative damages associated with the slow-moving nature of the SHL vehicles can potentially jeopardize the longevity of pavements structures and result in premature failure of transportation facilities. Analysis of the representative pavements sections in this study revealed that inclusion of the slow-moving nature of SHLs into the damage assessment algorithms can result in significant PLR as high as 36%. Consequently, analysis of the slow-moving nature of the SHL vehicles should be an integral component in risk management studies of overload corridors.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Ashtiani, R. S., Morovatdar, A., Licon, C., Tirado, C., Gonzales, J., and Rocha, S. 2019. Characterization and Quantification of Traffic Load Spectra in Texas Overweight Corridors and Energy Sector Zones.
Bazi, G., Hajj, E. Y., Ulloa-Calderon, A., and Ullidtz, P. (2020). Finite element modelling of the rolling resistance due to pavement deformation. International Journal of Pavement Engineering, 21(3), 365-375.
Chen, X., Lambert, J. R., Tsai, C., and Zhang, Z. 2013. Evaluation of Superheavy Load Movement on Flexible Pavements. International Journal of Pavement Engineering, 14(5), 440-448.
Dong, Q., and Huang, B. 2013. Field Measurement of Pavement Responses under Super Heavy Load.
Douglas, R. A., Woodward, W. D. H., and Woodside, A. R. 2000. Road Contact Stresses and Forces under Tires with Low Inflation Pressure. Canadian Journal of Civil Engineering, 27, 1248–1258.
Hajj, E. Y., Siddharthan, R. V., Nabizadeh, H., Elfass, S., Nimeri, M., Kazemi, S. F., and Piratheepan, M. 2018. Analysis Procedures for Evaluating Superheavy Load Movement on Flexible Pavement., FHWA, Washington, DC.
Hu, X., Faruk, A. N., Zhang, J., Souliman, M. I., and Walubita, L. F. 2017. Effects of Tire Inclination (Turning Traffic) and Dynamic Loading on the Pavement Stress–Strain Responses using 3-D Finite Element Modeling. International Journal of Pavement Research and Technology, 10(4), 304-314.
Morovatdar, A., Ashtiani, R. S., Licon, C., and Tirado, C. 2019. Development of a Mechanistic Approach to Quantify Pavement Damage using Axle Load Spectra from South Texas Overload Corridors. In Geo-Structural Aspects of Pavements, Railways, and Airfields Conference.
Morovatdar, A., Ashtiani, R. S., Licon, C., Tirado, C., and Mahmoud, E. 2020a. Novel Framework for the Quantification of Pavement Damages in the Overload Corridors. Transportation Research Record, 2674(8), 179-191.
Morovatdar, A., Ashtiani, R. S., and Licon, C., Jr. 2020b. Development of a mechanistic framework to predict pavement service life using axle load spectra from Texas overload corridors. In International Conference on Transportation and Development 2020 (pp. 114-126). Reston, VA: American Society of Civil Engineers.
Morovatdar, A., and Ashtiani, R. S. 2020c. Evaluation of Pavement Service Life Reduction in Overload Corridors. In Advances in Materials and Pavement Performance Prediction II (pp. 211-214). Taylor & Francis, 2020, ISBN: 978-0-367-46169-0.
Morovatdar, A., Ashtiani, R. S., and Mahmoud, E. 2021. A Framework to Quantify the Reduction of Pavement Service Life in Overload Corridors using Portable Weigh-In-Motion Data. Transportation Research Record (TRR): Journal of the Transportation Research Board.
Ulloa, A., Hajj, E. Y., Siddharthan, R. V., and Sebaaly, P. E. 2013. Equivalent loading frequencies for dynamic analysis of asphalt pavements. Journal of Materials in Civil Engineering, 25(9), 1162-1170.
Wang, H., and Al-Qadi, I. L. 2009. Combined Effect of Moving Wheel Loading and Three-Dimensional Contact Stresses on Perpetual Pavement Responses. Transportation research record, No. 2095. Washington, DC: TRB, 53–61.
Wang, H., Al-Qadi, I. L., and Stanciulescu, I. 2012. Simulation of Tyre–Pavement Interaction for Predicting Contact Stresses at Static and Various Rolling Conditions. International Journal of Pavement Engineering, 13(4), 310-321.
Wu, C., Wang, H., Zhao, J., Jiang, X., Yanjun, Q., and Yusupov, B. (2020). Prediction of Viscoelastic Pavement Responses under Moving Load and Nonuniform Tire Contact Stresses Using 2.5-D Finite Element Method. Mathematical Problems in Engineering, 2020.
Yoo, P. J., Al-Qadi, I. L., Elseifi, M. A., and Janajreh, I. (2006). Flexible pavement responses to different loading amplitudes considering layer interface condition and lateral shear forces. The International Journal of Pavement Engineering, 7(1), 73-86.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Jun 4, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Ali Morovatdar, Reza S. Ashtiani, Risk Assessment of Underground Utilities Subjected to Super Heavy Load (SHL) Applications in Overload Corridors, International Conference on Transportation and Development 2022, 10.1061/9780784484364.006, (60-70), (2022).
- Ali Morovatdar, Reza S. Ashtiani, Probabilistic Assessment of Stability of Sloped Pavement Shoulders Subjected to Super Heavy Load (SHL) Vehicles, Geo-Congress 2022, 10.1061/9780784484067.022, (208-220), (2022).