Study on meso-structural characteristics and homogeneity of asphalt mixture skeleton contacts
Source abstract
Abstract
Asphalt mixture skeleton is the main structure to resist load, and the contact point between coarse aggregates is one of the key elements of skeleton structure. This study investigated the difference in key aggregate particle size on the meso-contact characteristic and the distribution homogeneous of contact points. In addition, the relationship between the evaluation parameters of skeleton homogeneity and the macro-rutting resistance of asphalt mixtures was examined. Finally, various measures were proposed to improve the skeleton contact distribution homogeneity. The results indicated that the minimum calculated particle size significantly influenced the contact between coarse aggregates. The contact changes between coarse aggregates include increasing contacts, disappearing contacts, and changing contact positions. Measures to improve the contact distribution homogeneity of asphalt mixtures include increasing the compaction time, increasing the coarse aggregate content, and decreasing the key particle size. When the minimum calculated particle size was set to 2.36 mm, the anti-rutting parameters correlated with the statistical parameters of the coarse aggregate contact distribution. However, there was no good correlation between them when the minimum calculated particle size was 4.75 mm. These results suggest that when calculating the skeleton contact, the particle size of 2.36 mm is more reasonable to effectively characterize the mesostructure of the asphalt mixture skeleton.
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.
References (42)
Show source-provided references
1. Effect of aggregate nature on the fatigue-cracking behavior of asphalt mixes10.1016/j.matdes.2012.12.048 ↗
2. Evaluation of fatigue behavior in cold recycled mixture using digital image correlation method10.1016/j.conbuildmat.2015.11.014 ↗
3. Mesostructural characteristics and evaluation of asphalt mixture contact chain complex networks10.1016/j.conbuildmat.2022.127753 ↗
4. Three-dimensional image processing methods to identify and characterise aggregates in compacted asphalt mixtures10.1080/10298431003749725 ↗
5. Internal structure characterization of asphalt mixtures for rutting performance using imaging analysis10.1080/14680629.2012.657045 ↗
6. Mesomechanical prediction of viscoelastic behavior of asphalt concrete considering effect of aggregate shape10.1016/j.conbuildmat.2020.122096 ↗
7. Meso-structural characteristics of asphalt mixture main skeleton based on meso-scale analysis10.1016/j.conbuildmat.2019.117263 ↗
8. Measurement of coarse aggregates movement characteristics within asphalt mixture using digital image processing methods10.1016/j.measurement.2020.107948 ↗
9. Microstructure characterization of cold in-place recycled asphalt mixtures by X-ray computed tomography10.1016/j.conbuildmat.2018.03.203 ↗
10. Microstructural analysis of asphalt mixtures using digital image processing techniques10.1139/cjce-2013-0250 ↗
11. 3D-Reconstruction and characterization of the pore microstructure within the asphalt FAM using the X-ray micro-computed tomography10.1016/j.conbuildmat.2020.121764 ↗
12. Coupling of microstructural and macrostructural computational approaches for asphalt pavements under rolling tire load10.1111/mice.12535 ↗
13. Molecular dynamics study on influence of Nano-ZnO/SBS on physical properties and molecular structure of asphalt binder10.1016/j.fuel.2019.116777 ↗
14. Investigating the interaction behavior between asphalt binder and rubber in rubber asphalt by molecular dynamics simulation - ScienceDirect10.1016/j.conbuildmat.2020.118956 ↗
15. Intrinsic temperature sensitive self-healing character of asphalt binders based on molecular dynamics simulations10.1016/j.fuel.2017.09.089 ↗
16. A review of X-ray computed tomography of concrete and asphalt construction materials10.1016/j.conbuildmat.2018.12.049 ↗
17. Evaluation of effect of compaction method on the macrostructure of asphalt mixtures through digital image processing under Brazilian conditions
18. Investigating the effect of binder and aggregate application rates on performance of chip seals via digital image processing and sweep tests10.1016/j.conbuildmat.2019.06.089 ↗
19. Image-aided random aggregate packing for computational modeling of asphalt concrete microstructure10.1016/j.conbuildmat.2018.05.139 ↗
20. Unified imaging approach for measuring aggregate angularity and texture10.1111/0885-9507.00191 ↗
21. Aggregate structure characterization of asphalt mixtures using 2-dimensional image analysis10.1080/14680629.2012.711923 ↗
22. Effect of aggregate morphologies and compaction methods on the skeleton structures in asphalt mixtures10.1016/j.conbuildmat.2020.120220 ↗
23. Study on the influence of aggregate strength and shape on the performance of asphalt mixture10.1016/j.conbuildmat.2021.123599 ↗
24. Study on the correlation between aggregate skeleton characteristics and rutting performance of asphalt mixture10.1016/j.conbuildmat.2018.05.153 ↗
25. Evaluation of the evolution of the structure of cold recycled mixture subjected to wheel tracking using digital image processing10.1016/j.conbuildmat.2021.124680 ↗
26. Effects of coarse aggregate angularity on the microstructure of asphalt mixture10.1016/j.conbuildmat.2018.06.170 ↗
27. Effect of the contact structure characteristics on rutting performance in asphalt mixtures using 2D imaging analysis10.1016/j.conbuildmat.2016.12.210 ↗
28. Analysis of aggregate particle migration properties during compaction process of asphalt mixture10.1016/j.conbuildmat.2018.11.164 ↗
29. Evaluation of optimum mixing conditions for rubberized asphalt mixture containing reclaimed asphalt pavement10.1016/j.conbuildmat.2019.117426 ↗
30. Asphalt mixture segregation detection: digital image processing approach
31. A method to evaluate the segregation of compacted asphalt pavement by processing the images of paved asphalt mixture10.1016/j.conbuildmat.2019.07.041 ↗
32. Concave distribution characterization of asphalt pavement surface segregation using smartphone and image processing based techniques10.1016/j.conbuildmat.2021.124111 ↗
33. Research on the homogeneity of asphalt pavement quality using X-ray computed tomography (CT) and fractal theory10.1016/j.conbuildmat.2014.06.046 ↗
34. The influence of mixing conditions on the macro-scale homogeneity of asphalt mixtures blended with reclaimed asphalt pavement (RAP)10.3390/ma14154137 ↗
35. Effects by property homogeneity of aggregate skeleton on creep performance of asphalt concrete10.1016/j.conbuildmat.2018.03.150 ↗
36. Effects of rejuvenation and aging on binder homogeneity of recycled asphalt mixtures10.1061/JPEODX.0000089 ↗
37. Influence of the compaction process on the air void homogeneity of asphalt mixtures samples10.1016/j.conbuildmat.2009.12.004 ↗
38. A novel evaluation method of aggregate distribution homogeneity for asphalt pavement based on the characteristics of texture structure10.1016/j.conbuildmat.2021.124927 ↗
39. Homogeneity evaluation of hot in-place recycling asphalt mixture using digital image processing technique10.1016/j.jclepro.2020.120524 ↗
40. Accurate detection and evaluation method for aggregate distribution uniformity of asphalt pavement10.1016/j.conbuildmat.2017.07.058 ↗
41. Characterization of interconnectivity, size distribution and uniformity of air voids in porous asphalt concrete using X-ray CT scanning images10.1016/j.conbuildmat.2019.04.056 ↗
42. Homogeneity and viscoelastic behaviour of bitumen film in asphalt mixtures containing RAP10.3390/ma14164355 ↗