Investigating the impact of limonene on asphalt-aggregate surface adhesion based on molecular dynamics simulations
Source abstract
Abstract
In this study, the effect of three solvents, toluene, trichloroethylene and limonene, on asphalt-aggregate separation was investigated based on molecular dynamics (MD) simulations. The aggregation properties of asphaltenes in various solvent cases were investigated using the radial distribution function (RDF). Diffusion coefficients, adhesion energies and density distributions were used to assess the effect of solvents on the adhesion behavior between asphalt and aggregate. Finally, the accuracy of the MD simulation results was verified by the water-boiling method and pull-off tests. The results showed that limonene could effectively reduce the adhesion energy at the asphalt-aggregate interface, increase the diffusion coefficient of the four components in asphalt, reduce the asphalt coated on the aggregate surface, and reduce the pullout strength at the interface between asphalt and substrate. Compared with conventional solvents, limonene showed high efficiency and safety in the asphalt-aggregate separation process.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Petroleum Processing and Analysis · Infrastructure Maintenance and Monitoring
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Civil Engineering and Architecture, Guangxi University
Key Laboratory of Disaster Prevention and Engineering Safety of Ministry of Education
National High Performance Computing Center Nanning Branch
Special Geological Highway Safety Engineering Technology Research Center of Guangxi
China Railway Communications Investment Group Co. Ltd.
Funding
National Natural Science Foundation of China
References (47)
Show source-provided references
1. 10.1016/j.conbuildmat.2022.12640610.1016/j.conbuildmat.2022.126406 ↗
2. Branthaver J. F. Petersen J. C. Robertson R. E. Duvall J. J. Kim S. S. Harnsberger P. M. & Scharbron J. F. (1993). Binder characterization and evaluation. Volume 2: Chemistry.
3. 10.1007/s41061-017-0179-710.1007/s41061-017-0179-7 ↗
4. 10.1021/ac60273a00410.1021/ac60273a004 ↗
5. 10.1016/j.jclepro.2020.12062910.1016/j.jclepro.2020.120629 ↗
6. 10.1080/14680629.2021.191054710.1080/14680629.2021.1910547 ↗
7. 10.1021/jp983239z10.1021/jp983239z ↗
8. 10.1016/j.petrol.2022.11011010.1016/j.petrol.2022.110110 ↗
9. 10.1021/acs.iecr.0c0253410.1021/acs.iecr.0c02534 ↗
10. 10.1016/j.conbuildmat.2020.11947410.1016/j.conbuildmat.2020.119474 ↗
11. 10.1016/j.ijadhadh.2017.03.01610.1016/j.ijadhadh.2017.03.016 ↗
12. 10.1016/j.conbuildmat.2024.13717610.1016/j.conbuildmat.2024.137176 ↗
13. 10.1021/ef101039710.1021/ef1010397 ↗
14. 10.1016/j.apsusc.2021.14995410.1016/j.apsusc.2021.149954 ↗
15. 10.1016/j.jclepro.2021.12971110.1016/j.jclepro.2021.129711 ↗
16. 10.1016/j.jngse.2022.10458810.1016/j.jngse.2022.104588 ↗
17. 10.1016/j.conbuildmat.2023.13229110.1016/j.conbuildmat.2023.132291 ↗
18. 10.1016/j.fuel.2013.07.01210.1016/j.fuel.2013.07.012 ↗
19. 10.1016/j.cej.2024.15305510.1016/j.cej.2024.153055 ↗
20. 10.1016/j.energy.2024.13049110.1016/j.energy.2024.130491 ↗
21. 10.1016/j.conbuildmat.2020.11935410.1016/j.conbuildmat.2020.119354 ↗
22. 10.1016/j.apsusc.2023.15817110.1016/j.apsusc.2023.158171 ↗
23. 10.1016/j.conbuildmat.2025.14026910.1016/j.conbuildmat.2025.140269 ↗
24. 10.1016/j.conbuildmat.2021.12581610.1016/j.conbuildmat.2021.125816 ↗
25. 10.1021/jp040207510.1021/jp0402075 ↗
26. 10.1021/acs.chemrev.1c0089710.1021/acs.chemrev.1c00897 ↗
27. 10.1617/s11527-022-01981-110.1617/s11527-022-01981-1 ↗
28. 10.1080/14680629.2020.176092010.1080/14680629.2020.1760920 ↗
29. 10.1016/j.jclepro.2018.04.08610.1016/j.jclepro.2018.04.086 ↗
30. 10.1016/j.conbuildmat.2020.11819410.1016/j.conbuildmat.2020.118194 ↗
31. 10.1061/JMCEE7.MTENG-1864610.1061/JMCEE7.MTENG-18646 ↗
32. 10.1016/j.conbuildmat.2024.13597310.1016/j.conbuildmat.2024.135973 ↗
33. 10.1021/acs.energyfuels.6b0075710.1021/acs.energyfuels.6b00757 ↗
34. 10.1016/j.petrol.2019.02.04110.1016/j.petrol.2019.02.041 ↗
35. 10.1021/ef502172n10.1021/ef502172n ↗
36. 10.1080/14680629.2024.230280610.1080/14680629.2024.2302806 ↗
37. 10.1016/j.conbuildmat.2021.12524510.1016/j.conbuildmat.2021.125245 ↗
38. 10.3390/app903042410.3390/app9030424 ↗
39. 10.1016/j.conbuildmat.2022.12964210.1016/j.conbuildmat.2022.129642 ↗
40. 10.1016/j.fuel.2016.10.02110.1016/j.fuel.2016.10.021 ↗
41. 10.1016/j.conbuildmat.2023.13399510.1016/j.conbuildmat.2023.133995 ↗
42. 10.1016/j.conbuildmat.2022.12945210.1016/j.conbuildmat.2022.129452 ↗
43. 10.1016/j.conbuildmat.2021.12603510.1016/j.conbuildmat.2021.126035 ↗
44. 10.1021/acs.energyfuels.1c0048310.1021/acs.energyfuels.1c00483 ↗
45. 10.1080/14680629.2025.248652510.1080/14680629.2025.2486525 ↗
46. 10.1016/j.colsurfa.2025.13637410.1016/j.colsurfa.2025.136374 ↗
47. 10.1016/j.conbuildmat.2019.11791210.1016/j.conbuildmat.2019.117912 ↗