Evaluation of ERAPave PP permanent deformation models using APT
Source abstract
Abstract
Permanent deformation is one of the failure modes considered in the analysis and design of flexible pavements. ERAPave performance prediction (PP) which is a mechanistic empirical (ME) pavement design tool utilises two distinct models for the prediction of permanent deformation in the bound and unbound granular layers including subgrade. This paper aims to calibrate these models using pavement response and performance data from accelerated pavement testing (APT) structures. Material properties such as layer modulus were established through an optimisation that involves both falling weight deflectometer (FWD) and pavement response measurements. Based on the predicted performance results, a separate set of calibration was performed for permanent deformation development in moist and wet moisture conditions. The calibrated models have resulted in predictions that are in good agreement with observed performances. Furthermore, the model parameters successfully captured the initial densification behaviour and the associated sensitivity with axle load level.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Geotechnical Engineering and Underground Structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Swedish National Road and Transport Research Institute VTI
University of Iceland
Funding
Swedish Transport Administration · Trafikverket
References (41)
Show source-provided references
1. 10.1080/14680629.2012.75593610.1080/14680629.2012.755936 ↗
2. 10.1080/14680629.2014.98731110.1080/14680629.2014.987311 ↗
3. 10.3141/2304-1910.3141/2304-19 ↗
4. ARA Inc. (2004). Guide for the mechanistic-empirical design ofnew and rehabilitated pavement structures final report (Tech. Rep. NCHRP 1-37A). Transportation Research Board of the National Academies. http://onlinepubs.trb.org/onlinepubs/archive/mepdg/guide.htm
5. 10.1007/978-3-030-55236-7_3810.1007/978-3-030-55236-7_38 ↗
6. Barksdale R. D. (1972). Laboratory evaluation of rutting in base course materials. In Presented at the 3rd International Conference on Structural Design of Asphalt Pavements (pp. 161–174).
7. 10.1016/j.compgeo.2009.01.00710.1016/j.compgeo.2009.01.007 ↗
8. 10.1007/978-3-030-55236-7_4110.1007/978-3-030-55236-7_41 ↗
9. Epps, J., Sebesta, S., Hewes, B., Sahin, H., Luo, R., Button, J., Lytton, R., Herrera, C.A., Hatcher, R., & Gu, F. (2014). Development of a specification for flexible base construction, (p. College Station, TX, 414: Final Rep. No. FHWA/TX-13/0-6621.
10. 10.3166/rmpd.11.863-88010.3166/rmpd.11.863-880 ↗
11. 10.1080/14680629.2012.75755810.1080/14680629.2012.757558 ↗
12. 10.3141/2369-0210.3141/2369-02 ↗
13. Erlingsson S. Said S. F. & McGarvey T. (2012). Influence of heavy traffic lateral wander on pavement deterioration.’ In. Malmö Sweden: Proceedings of the 4th European Pavement Asset Management Conference.
14. 10.1080/14680629.2021.188346210.1080/14680629.2021.1883462 ↗
15. 10.1080/14680629.2021.188346410.1080/14680629.2021.1883464 ↗
16. 10.1007/978-3-030-55236-7_4310.1007/978-3-030-55236-7_43 ↗
17. 10.3141/1716-1410.3141/1716-14 ↗
18. 10.1016/j.conbuildmat.2020.12089610.1016/j.conbuildmat.2020.120896 ↗
19. Huang, Y. (2004). Pavement analysis and design (2nd ed.). Prentice Hall.
20. Irwin L. H. (2002). Backcalculation: An overview and perspective. In Pavement Evaluation Conference.
21. Kenis W. & Wang W. (1997). Calibrating mechanistic flexible pavement rutting models from full scale accelerated tests. In Eighth International Conference on Asphalt Pavements Federal Highway Administration (No. Volume I).
22. Kim, Y. (2009). Modeling of asphalt concrete. 1st ed. (Y. R. Kim Ed). McGraw-Hill Education. https://www.accessengineeringlibrary.com/content/book/9780071464628
23. Kim, Y. R., Hibbs, B. O., & Lee, Y.-C. (1995). Temperature correction of deflections and backcalculated asphalt concrete moduli. Transportation Research Record, (1473), 55–62. http://onlinepubs.trb.org/Onlinepubs/trr/1995/1473/1473-007.pdf
24. 10.1680/tran.2009.162.2.10710.1680/tran.2009.162.2.107 ↗
25. 10.1007/978-3-030-55236-7_4410.1007/978-3-030-55236-7_44 ↗
26. 10.1016/S0950-0618(97)00078-010.1016/S0950-0618(97)00078-0 ↗
27. 10.1007/978-3-030-55236-7_3210.1007/978-3-030-55236-7_32 ↗
28. Lytton, R. L., Uzan, J., Fernando, E. G., Roque, R., Hiltunen, D., & Stoffels, S. M. (1993). Development and validation of performance prediction models and specifications for asphalt binders and paving mixes (Vol. 357). Strategic Highway Research Program.
29. 10.1007/978-3-030-55236-7_1210.1007/978-3-030-55236-7_12 ↗
30. 10.1080/14680629.2015.102638210.1080/14680629.2015.1026382 ↗
31. Rahman, M. S., Erlingsson, S., Ahmed, A., & Dinegdae, Y. (2022). A model for the permanent deformation behavior of the unbound layers of pavements. In Eleventh international conference on the bearing capacity of roads, railways and airfields (pp. 277).
32. 10.1080/14680629.2013.77476210.1080/14680629.2013.774762 ↗
33. 10.1080/14680629.2014.93969810.1080/14680629.2014.939698 ↗
34. 10.1080/10298436.2014.97295710.1080/10298436.2014.972957 ↗
35. 10.1080/10298436.2011.61853510.1080/10298436.2011.618535 ↗
36. Schwartz C. Li R Ceylan H. Kim S. & Gopalakrishnan K. (2011). Sensitivity evaluation of MEPDG performance prediction. Final report of NCHRP 1-47 project.
37. 10.1007/978-3-030-55236-7_4710.1007/978-3-030-55236-7_47 ↗
38. Tseng K.-H. & Lytton R. L. (1989). Prediction of permanent deformation in flexible pavements materials implication of aggregates in the design construction and performance of flexible pavements. In. West Conshohocken PA: ASTM STP 1016 ASTM 154–172.10.1520/STP24562S ↗
39. 10.17226/2246910.17226/22469 ↗
40. 10.3141/2087-0310.3141/2087-03 ↗
41. Wiman L. G. & Erlingsson S. (2008). Accelerated pavement testing by HVS a trans-national testing equipment. In. Ljubljana 21-24 April: Transport Research Arena Europe 2008 [CD ROM].