journal article·2020-05-18

Quantitative comparison of evaluation indices for asphalt–filler interaction ability within filler critical volume fraction

Guoqiang Liu, Yanshun Jia, Yuanyuan Pan, Tao Yang, Yongli Zhao, Jiupeng Zhang

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Abstract

Asphalt–filler interaction plays a key role in the performances of asphalt mastic and asphalt mixture. However, the current studies ignore the filler critical volume fraction that has significant effects on asphalt–filler interaction ability. There is also lacking quantitative comparison of evaluation indices within filler critical volume fraction. In this study, two kinds of virgin asphalt binders and three kinds of mineral fillers were selected to fabricate asphalt mastics, and the dynamic shear rheological properties of virgin asphalt binders and asphalt mastics were measured, and the interaction evaluation indices complex viscosity coefficient Δη*, intrinsic viscosity [η], complex modulus coefficient ΔG*, K-B-G*, Einstein coefficient KE, L-A-δ and K-B-δ were quantitatively compared. The results indicate that complex viscosity coefficient Δη* and intrinsic viscosity [η] are not suitable for evaluation of asphalt–filler interaction ability. ΔG* and K-B-G* can evaluate the differences of asphalt and different fillers interaction ability based on the same kind of asphalt binder. Nevertheless, ΔG* and K-B-G* cannot differentiate the effects of asphalt binder on asphalt–filler interaction ability well. Although Einstein coefficient KE can evaluate asphalt–filler interaction ability, the Einstein coefficient KE is fitting results, and cannot distinguish the interaction ability under different filler volume fractions. L-A-δ and K-B-δ can differentiate the interaction ability of different asphalt binders and fillers well, and also the sensitivity factors of index K-B-δ are greater than L-A-δ. Therefore, K-B-δ is the most suitable for evaluating asphalt and filler interaction ability. Based on the evaluation index K-B-δ, asphalt–filler interaction ability increases initially and decreases afterwards with an increase in filler concentration within filler critical volume fraction.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Asphalt Pavement Performance Evaluation · Rheology and Fluid Dynamics Studies · Polymer crystallization and properties

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

Affiliations

School of Transportation, Southeast University, Nanjing, People’s Republic of China

School of Highway, Chang’an University, Xi’an, People’s Republic of China

Funding

National Natural Science Foundation of China

References (43)

Show source-provided references
1. Barnes H. A. · 2000
2. 10.3141/1681-1910.3141/1681-19 ↗
3. 10.1002/app.1971.07015081810.1002/app.1971.070150818 ↗
4. 10.1080/14680629.2010.969033510.1080/14680629.2010.9690335 ↗
5. Guo M. · 2012
6. 10.1016/j.conbuildmat.2017.02.05110.1016/j.conbuildmat.2017.02.051 ↗
7. 10.1016/j.conbuildmat.2017.05.00310.1016/j.conbuildmat.2017.05.003 ↗
8. 10.1080/14680629.2017.132987010.1080/14680629.2017.1329870 ↗
9. 10.1007/s11709-017-0422-x10.1007/s11709-017-0422-x ↗
10. 10.1617/s11527-017-1015-910.1617/s11527-017-1015-9 ↗
11. 10.1617/s11527-013-0237-810.1617/s11527-013-0237-8 ↗
12. 10.1520/STP11663S10.1520/STP11663S ↗
13. 10.1080/10298436.2014.94286310.1080/10298436.2014.942863 ↗
14. 10.3141/1998-0910.3141/1998-09 ↗
15. 10.1520/jte2012017810.1520/jte20120178 ↗
16. 10.1122/1.54884810.1122/1.548848 ↗
17. 10.1002/app.1990.07039071110.1002/app.1990.070390711 ↗
18. 10.1016/j.conbuildmat.2017.09.10810.1016/j.conbuildmat.2017.09.108 ↗
19. 10.1016/j.conbuildmat.2018.02.17110.1016/j.conbuildmat.2018.02.171 ↗
20. 10.3390/min805017610.3390/min8050176 ↗
21. Ministry of Transport of the People’s Republic of China · 2004
22. Ministry of Transport of the People's Republic of China · 2011
23. 10.1016/0095-8522(51)90036-010.1016/0095-8522(51)90036-0 ↗
24. 10.1063/1.165850610.1063/1.1658506 ↗
25. 10.1007/bf0133135610.1007/bf01331356 ↗
26. 10.1016/j.conbuildmat.2015.10.05310.1016/j.conbuildmat.2015.10.053 ↗
27. 10.3141/1638-1110.3141/1638-11 ↗
28. 10.1016/j.fuel.2016.11.11010.1016/j.fuel.2016.11.110 ↗
29. 10.1617/s11527-013-0083-810.1617/s11527-013-0083-8 ↗
30. 10.1520/jte2013025310.1520/jte20130253 ↗
31. 10.1007/s11595-012-0585-110.1007/s11595-012-0585-1 ↗
32. 10.1061/(asce)mt.1943-5533.000050610.1061/(asce)mt.1943-5533.0000506 ↗
33. Tan Y. · China Journal of Highway and Transport · 2012 · 25 · 65
34. Tan Y. · Journal of Harbin Institute of Technology · 2009 · 41 · 81
35. 10.3141/2208-0510.3141/2208-05 ↗
36. 10.1080/10298436.2015.109529710.1080/10298436.2015.1095297 ↗
37. 10.1155/2015/93712610.1155/2015/937126 ↗
38. 10.1080/10298436.2017.136676510.1080/10298436.2017.1366765 ↗
39. 10.1016/j.conbuildmat.2016.08.15110.1016/j.conbuildmat.2016.08.151 ↗
40. 10.1080/14680629.2016.121878910.1080/14680629.2016.1218789 ↗
41. 10.4028/www.scientific.net/AMR.723.48010.4028/www.scientific.net/AMR.723.480 ↗
42. 10.1002/app.1973.07017041010.1002/app.1973.070170410 ↗
43. 10.1002/app.1973.07017041110.1002/app.1973.070170411 ↗