journal article·2024-12-31

Micromechanics approach to calculate the adsorbed asphalt film thickness on mineral fillers and evaluate physiochemical interactions

Zhichen Wang, Xin Jin, Yazhen Sun, Shuang Wang

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Abstract

Investigations of the physicochemical interactions occurring at asphalt–mineral filler interfaces are important in understanding the mechanisms that govern the mechanical attributes of asphalt mixtures. The measurement of the adsorbed asphalt film thickness (AAFT) provides valuable insights into the underlying physicochemical interactions. However, direct measurement of AAFTs through laboratory tests poses considerable challenges. This study describes AAFT calculation methods based on the N-phase model and Christensen-Lo model. The AAFTs of different types of asphalt mastic were calculated by conducting dynamic shear rheology (DSR) tests. To ascertain the physicochemical mechanisms governing interactions between the asphalt and mineral fillers, fourier transform infrared (FTIR), Brunner−Emmet−Teller (BET), scanning electron microscopy (SEM) and atomic force microscopy (AFM) studies were carried out. The findings revealed that the AAFT was related to the testing temperature, frequency, filler content, and type. The AAFTs for asphalt mastics with different filler types decreased in the order (from thick to thin) of coal gangue filler, limestone filler, and fly ash. The external specific surface areas and chemical compositions of the mineral fillers emerged as the primary factors influencing their physicochemical interactions with the asphalt. The coal gangue asphalt mastic exhibited a smaller and denser AFM bee structure, which was attributed to the physicochemical interactions. The findings of this research contribute to the selection of mineral fillers and filler/binder ratios that can be utilised for optimising the design of asphalt mixtures comprising different types of fillers.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Concrete and Cement Materials Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Transportation and Geomatics Engineering, Shenyang Jianzhu University, Shenyang, People’s Republic of China

Intelligent Engineering Technology Research Center, Harbin Cambridge University, Harbin, People’s Republic of China

Information Technology Research Institute, Hunan University of Information Technology, Changsha, People’s Republic of China

Funding

Heilongjiang Natural Science Fund for Distinguished Young Scholars · National Natural Science Foundation of China · the China Postdoctoral Science Foundation · Natural Science Foundation of Heilongjiang Province

References (38)

Show source-provided references
1. Al-Khateeb, G. G., 2016. Conceptualizing the asphalt film thickness to investigate the Superpave VMA criteria. The International Journal of Pavement Engineering, 10, 957–965.
2. 10.1016/j.cscm.2022.e0171110.1016/j.cscm.2022.e01711 ↗
3. 10.1016/j.mtcomm.2017.11.00710.1016/j.mtcomm.2017.11.007 ↗
4. 10.3923/jas.2007.1924.192910.3923/jas.2007.1924.1929 ↗
5. 10.3141/1681-1910.3141/1681-19 ↗
6. 10.1016/j.conbuildmat.2016.05.04110.1016/j.conbuildmat.2016.05.041 ↗
7. 10.1016/0022-5096(79)90032-210.1016/0022-5096(79)90032-2 ↗
8. 10.1080/14680629.2013.77474510.1080/14680629.2013.774745 ↗
9. 10.1016/j.conbuildmat.2016.06.12610.1016/j.conbuildmat.2016.06.126 ↗
10. 10.1016/j.conbuildmat.2015.06.02610.1016/j.conbuildmat.2015.06.026 ↗
11. Delaporte, B., et al., 2007. Linear viscoelastic properties of bituminous materials: from binders to mastics. Asphalt Paving Technology: Association of Asphalt Paving Technologists-Proceedings of the Technical Sessions, 76, 455–494.
12. 10.1016/j.conbuildmat.2017.05.00310.1016/j.conbuildmat.2017.05.003 ↗
13. 10.1016/j.conbuildmat.2017.02.05110.1016/j.conbuildmat.2017.02.051 ↗
14. 10.1016/0020-7225(93)90059-410.1016/0020-7225(93)90059-4 ↗
15. 10.1617/s11527-013-0237-810.1617/s11527-013-0237-8 ↗
16. 10.1016/j.conbuildmat.2020.11831110.1016/j.conbuildmat.2020.118311 ↗
17. 10.1016/j.conbuildmat.2020.11913510.1016/j.conbuildmat.2020.119135 ↗
18. 10.1016/j.conbuildmat.2017.05.08910.1016/j.conbuildmat.2017.05.089 ↗
19. 10.1080/14680629.2018.153105410.1080/14680629.2018.1531054 ↗
20. Liu, Z., and Wang, Y., 2019. Laboratory research on asphalt mastic modified with activated carbon powder: rheology, micro-structure, and adhesion. Road Materials and Pavement Design, 1: 1-18.
21. 10.1046/j.1365-2818.1996.134416.x10.1046/j.1365-2818.1996.134416.x ↗
22. 10.1007/s10853-005-1208-410.1007/s10853-005-1208-4 ↗
23. 10.1007/s12205-014-1207-610.1007/s12205-014-1207-6 ↗
24. 10.3390/ma1007074310.3390/ma10070743 ↗
25. 10.1016/j.conbuildmat.2019.06.17010.1016/j.conbuildmat.2019.06.170 ↗
26. Nguyen, X., et al., 1999. Waxes and asphaltenes in crude oils. Organic Geochemistry, 30 (2), 119–132.
27. 10.1080/10298436.2011.57594210.1080/10298436.2011.575942 ↗
28. Rochlani, M., et al., 2019. Influence of filler properties on the rheological, cryogenic, fatigue and rutting performance of mastics. Construction and Building Materials, 227 (10), 116974.1-116974.11.
29. 10.1016/S0167-6636(02)00166-710.1016/S0167-6636(02)00166-7 ↗
30. 10.1061/(ASCE)0899-1561(2008)20:8(530)10.1061/(ASCE)0899-1561(2008)20:8(530) ↗
31. 10.1016/j.conbuildmat.2013.05.06710.1016/j.conbuildmat.2013.05.067 ↗
32. 10.1061/(ASCE)MT.1943-5533.000050610.1061/(ASCE)MT.1943-5533.0000506 ↗
33. 10.1016/j.mechmat.2014.04.00110.1016/j.mechmat.2014.04.001 ↗
34. 10.3141/2208-0510.3141/2208-05 ↗
35. Wang, Z., et al., 2020. Micromechanical prediction model of viscoelastic properties for asphalt mastic based on morphologically representative pattern approach. Advances in Materials Science and Engineering, 5, 1–12.
36. 10.1016/j.ijtst.2018.06.00210.1016/j.ijtst.2018.06.002 ↗
37. 10.1016/j.commatsci.2015.10.02410.1016/j.commatsci.2015.10.024 ↗
38. 10.1080/10298436.2018.153512010.1080/10298436.2018.1535120 ↗