Development of practical prediction models to assess long-term aged cracking resistance in asphalt mixtures using the SCB Jc parameter
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Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Concrete Properties and Behavior
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References (26)
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1. Aging and rejuvenators: evaluating their impact on high RAP mixtures fatigue cracking characteristics using advanced mechanistic models and testing methods10.1080/14680629.2015.1076996 ↗
2. Recommended performance-related specification for hot-mix asphalt construction: Results of the WesTrack project
3. ASTM D8044, 2016.“Standard Test Method for Evaluation of Asphalt Mixture Cracking Resistance using the Semi-Circular Bend Test (SCB) at Intermediate Temperatures,” American Society for Testing and Materials International, West Conshohocken, PA.
4. Louisiana Department of Transportation and Development, 2018. Louisiana standard specifications for roads and bridges.
5. AASHTO R 121, 2024 “Standard Practice for Long Term Laboratory Conditioning of Asphalt Mixtures,” American Association of State Highways and Transportation Officials Designation: R 121, Washington D.C.
6. A review of the fundamentals of asphalt oxidation: chemical, physicochemical, physical property, and durability relationships
7. C.A. Bell, A.J. Wieder, M.J. Fellin, 1994, Laboratory aging of asphalt-aggregate mixtures: Field validation.
8. Environmental effects in pavement mix and structural design systems
9. Development of performance-based specifications for Louisiana asphalt mixtures
10. Asphalt oxidation mechanisms and the role of oxidation products on age hardening revisited10.1080/14680629.2011.9713895 ↗
11. Selection of laboratory aging procedures for asphalt-aggregate mixtures
12. Chemical and rheological characterization of wet and dry aging of SBS copolymer modified asphalt cements: laboratory and field evaluation (with discussion)
13. Investigation on physical and chemical parameters to predict long-term aging of asphalt binder10.1016/j.conbuildmat.2016.06.121 ↗
14. Y.R. Kim, C. Castorena, M. Elwardany, F.Y. Rad, B.S. Underwood, A. Gundla, P.P. Gudipudi, M.J. Farrar, R.R. Glaser, 2018, Long-term aging of asphalt mixtures for performance testing and prediction.10.17226/24959 ↗
15. State of the art review of aging of bituminous binders and asphalt mixtures: ageing simulation techniques, aging inhibitors and the relationship between simulated aging and field aging10.3390/infrastructures9010008 ↗
16. Review of lab-accelerated aging techniques of asphalt mixes10.31026/j.eng.2024.06.01 ↗
17. Study on accelerated aging rate of asphalt binder under multi-factors coupling conditions10.1016/j.conbuildmat.2023.132819 ↗
18. Fracture resistance characterization of superpave mixtures using the semi-circular bending test
19. Anderson · 2005
20. Incorporating environmental impact analysis into louisiana’s balanced asphalt mixture design
21. Influence of petroleum-based and bio-derived recycling agents on high-RAP asphalt mixtures performance10.3390/buildings14030567 ↗
22. Krans, R., F. Tolman, and M. Van De Ven, 1996. Semi-circular bending test: a practical crack growth test using asphalt concrete cores.In International RILEM Conference on Reflective Cracking in Pavements, 3rd, 1996, Maastricht, The Netherlands.
23. Development of Cracking Resistance Prediction Model of Long-Term Aged Asphalt Mixtures. LSU Doctoral Dissertations. 5512, Louisiana State University and Agricultural & Mechanical College
24. RStudio Team, 2020. "RStudio: Integrated development for R," RStudio, PBC, Boston, MA. URL 〈http://rstudio.com/〉.
25. Deep neural networks for high dimension, low sample size data
26. Small sample size effects in statistical pattern recognition: Recommendations for practitioners10.1109/34.75512 ↗