Investigation of aggregate gradation on air voids distribution in porous asphalt concrete using X-ray CT scanning images
Source abstract
Abstract
Porous asphalt concrete (PAC) is typically used as a paving material for porous asphalt pavement in rainy areas due to its abundant interconnected pores structure. Not all interconnected pores in PAC are valid for permeability, mainly influenced by the composition of aggregate gradation. The main purpose of this paper is to investigate the effect of aggregate gradation on pores structure distribution in PAC by X-ray computed tomography (CT) system and digital image processing (DIP) techniques. The distributions of porosity, number and average equivalent diameter of air voids in middle part are much more evenly compared to the both ends in PAC specimens, accounting for about 70% of the total of specimen height. The average equivalent diameter of interconnected air voids mainly ranges from 0.5 mm to 5 mm in PAC, accounting for about 80% of the total numbers. For PAC with similar porosity, the larger the normal maximum aggregate size (NMAS), the less the number and the larger the average equivalent diameter of air voids (interconnected air voids), the smaller the difference between the interconnected porosity and porosity. For PAC with same NMAS, as the porosity increase, the number and average equivalent diameter of air voids (interconnected air voids) are respectively decreased and increased gradually, the difference between the interconnected porosity and porosity is also showed a decreasing trend. And then, the correlated equation is established among porosity, interconnected porosity and the composition of aggregate gradation. The distribution of air voids (interconnected air voids) size could be well described by the two-parameter Weibull model, and the relationships are explored and developed between Weibull model parameters and the composition of aggregate gradation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · High voltage insulation and dielectric phenomena
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Study on the influence of design parameters of porous asphalt pavement on drainage performance10.1016/j.jhydrol.2024.131514 ↗
2. Three-dimensional mesoscopic permeability of porous asphalt mixture10.1016/j.conbuildmat.2019.117430 ↗
3. Evaluation of durability and functional performance of porous polyurethane mixture in porous pavement10.1016/j.jclepro.2018.03.297 ↗
4. Investigation of microstructure characteristics of porous asphalt with relevance to acoustic pavement performance10.1016/j.ijtst.2018.06.001 ↗
5. 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 ↗
6. Modeling and optimization of acoustic absorption for porous asphalt concrete
7. MSc. In-situ hydraulic performance of a permeable pavement sustainable urban drainage system10.1111/j.1747-6593.2003.tb00460.x ↗
8. Mechanism and research development of noise reduction technology of rubberized asphalt mixture
9. Asphalt hardening as affected by film thickness, voids and permeability in asphaltic mixtures
10. Directional distribution of three-dimensional connected voids in porous asphalt mixture and flow simulation of permeability anisotropy10.1080/10298436.2018.1555330 ↗
11. Proposed methodology for predicting HMA permeability
12. Doctor dissertation of University of Maryland
13. Characterization of air void distribution in asphalt mixes using X-ray computed tomography10.1061/(ASCE)0899-1561(2002)14:2(122) ↗
14. Internal structure characterization of asphalt concrete using image analysis10.1061/(ASCE)0887-3801(1999)13:2(88) ↗
15. Prediction method on volume of air voids of asphalt mixtures based on CT technique
16. Microstructural investigation on air void properties of porous asphalt using virtual cut section10.1016/j.conbuildmat.2017.08.103 ↗
17. Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography10.1080/14680629.2022.2029756 ↗
18. Evaluation of durability and functional performance ofporous polyurethane mixture in porous pavement10.1016/j.jclepro.2018.03.297 ↗
19. Experimental study on relationships among composition, microscopic void features, and performance of porous asphalt concrete10.1061/(ASCE)MT.1943-5533.0001281 ↗
20. Research on material composition and performance of porous asphalt pavement10.1061/(ASCE)0899-1561(2009)21:4(135) ↗
21. Evaluation of wearing course mix designs on sound absorption improvement of porous asphalt pavement10.1016/j.conbuildmat.2017.03.027 ↗
22. Numerical study on seepage flow in pervious concrete based on 3D CT imaging10.1016/j.conbuildmat.2017.11.149 ↗
23. Study the influence of the air void topology on porous asphalt clogging10.1016/j.conbuildmat.2019.116791 ↗
24. Ministry of communications of the People’s Republic of China · 2020
25. Evaluation of modified asphalt binder and mixtures with polyphosphoric Acid10.29194/NJES.26010031 ↗
26. Assessing impact of chemical compatibility of additives used in asphalt binder: A case study using plastics.10.1016/j.conbuildmat.2022.129349 ↗
27. Use of Hansen Solubility Parameters (HSP) in the selection of highly effective rejuvenators for aged bitumen
28. Permanent deformation characterization of stone matrix asphalt reinforced by different types of fibers
29. Effect of synthetic fibers on the mechanical performance of asphalt mixture: A review
30. Ministry of communications of the People’s Republic of China · 2011
31. Ministry of communications of the People’s Republic of China · 2004
32. Effect of inherent anisotropy on transverse permeability of porous functional asphalt mixtures
33. Mesostructured property of aggregate distribution in asphalt mixture based on digital image processing method10.1016/j.conbuildmat.2018.12.133 ↗
34. Determination of voids in the mineral aggregate and aggregate skeleton characteristics of asphalt mixtures using a linear-mixture packing model10.1016/j.conbuildmat.2018.08.101 ↗