Influence of Complex Service Factors on Ravelling Resistance Performance for Porous Asphalt Pavements
Abstract
:1. Introduction
2. Materials and Methods
2.1. Raw Materials
2.2. Test Methods
2.2.1. UV Aging Test
2.2.2. The Freeze–Thaw Cycle Test
2.2.3. The Cantabro Test
2.2.4. Rotating Surface Abrasion Test
3. Results and Analysis
3.1. The Impact of Environmental Factors on the Ravelling Resistance Performance of Drainage Asphalt Pavements
3.1.1. UV Aging Cycle Test
3.1.2. Freeze–Thaw Cycle Test
3.1.3. Influence of Multiple Factors Based on UV Aging and Water Damage
3.2. The Influence of Vehicle Factors on the Ravelling Resistance Performance of the Drainage Asphalt Pavement
3.2.1. Simulated Vehicle Speed Test—Rotating Surface Abrasion Speed Test
3.2.2. Simulated Vehicle Load Test—Rotating Surface Abrasion Pressure Test
3.2.3. Simulated Traffic Volume Test—Rotating Surface Abrasion Test
3.3. Multi Factor Coupling Analysis
- y is the rotating ravelling loss rate (%).
- x1 is the Rotating Surface Abrasion speed (r/min).
- x2 is the Rotating Surface Abrasion pressure (kg).
- x3 is the times of Rotating Surface Abrasion (times).
3.3.1. Single-Factor Influence
3.3.2. Multi-Factor Effects
- y is the rotating ravelling loss rate (%).
- x is the Cantabro ravelling loss rate (%).
4. Conclusions
- (1)
- With the increase in the times of UV aging cycles, the asphalt specimens show an increasing trend in the mass ravelling loss rate. The UV aging on asphalt pavements mainly impacts its surface area, ranging from the surface to about one centimeter below it.
- (2)
- With the same times of the UV aging and the increased times of freeze–thaw cycles the greater the ravelling loss rate of asphalt specimens.
- (3)
- The combined test of UV aging and freeze–thaw cycles aggravate the ravelling damage of asphalt specimens producing a “1 + 1 > 2” superimposed damage effect.
- (4)
- There exists a good correlation among the Rotating Surface Abrasion speed, pressure, times, and ravelling loss rate, and the Rotating Surface Abrasion times have a greater influence on the rotating ravelling loss rate.
- (5)
- The ravelling loss rates obtained from both the Cantabro and Rotating Surface Abrasion tests show a similar trend and have a good correlation.
- (6)
- The test results acquired from both the rotating and Cantabro Abrasion tests are fitted as linear functions with high correlation coefficients (R = 0.901), which confirms the feasibility of applying the Rotating Surface Abrasion test index to characterize the attenuation law of the ravelling resistance performance of drainage asphalt pavements.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Chen, J.; Yin, X.; Wang, H.; Ding, Y. Evaluation of durability and functional performance of porous polyurethane mixture in porous pavement. J. Clean. Prod. 2018, 188, 12–19. [Google Scholar] [CrossRef]
- Wang, X.; Gu, X.; Ni, F.; Deng, H.; Dong, Q. Rutting resistance of porous asphalt mixture under coupled conditions of high temperature and rainfall. Constr. Build. Mater. 2018, 174, 293–301. [Google Scholar] [CrossRef]
- Gupta, A.; Rodriguez-Hernandez, J.; Castro-Fresno, D. Incorporation of additives and fibers in porous asphalt mixtures: A review. Materials 2019, 12, 3156. [Google Scholar] [CrossRef] [Green Version]
- Arshad, A.; Ahmad, J.; Masri, K. Rutting resistance of nanosilica modified porous asphalt. Int. J. Civ. Eng. Technol. 2019, 10, 2274–2284. [Google Scholar]
- Hu, M.; Li, L.; Peng, F. Laboratory investigation of OGFC-5 porous asphalt ultra-thin wearing course. Constr. Build. Mater. 2019, 219, 101–110. [Google Scholar] [CrossRef]
- Shirini, B.; Imaninasab, R. Performance evaluation of rubberized and SBS modified porous asphalt mixtures. Constr. Build. Mater. 2016, 107, 165–171. [Google Scholar] [CrossRef]
- Lyons, K.R.; Putman, B.J. Laboratory evaluation of stabilizing methods for porous asphalt mixtures. Constr. Build. Mater. 2013, 49, 772–780. [Google Scholar] [CrossRef]
- Rodriguez-Hernandez, J.; Andrés-Valeri, V.C.; Calzada-Pérez, M.A.; Vega-Zamanillo, Á.; Castro-Fresno, D. Study of the raveling resistance of porous asphalt pavements used in sustainable drainage systems affected by hydrocarbon spills. Sustainability 2015, 7, 16226–16236. [Google Scholar] [CrossRef] [Green Version]
- Shen, D.-H.; Wu, C.-M.; Du, J.-C. Laboratory investigation of basic oxygen furnace slag for substitution of aggregate in porous asphalt mixture. Constr. Build. Mater. 2009, 23, 453–461. [Google Scholar] [CrossRef]
- Wang, T.; Dra, Y.A.S.S.; Cai, X.; Cheng, Z.; Zhang, D.; Lin, Y.; Yu, H. Advanced cold patching materials (CPMs) for asphalt pavement pothole rehabilitation: State of the art. J. Clean. Prod. 2022, 366, 133001. [Google Scholar] [CrossRef]
- Luo, S.; Lu, Q.; Qian, Z. Performance evaluation of epoxy modified open-graded porous asphalt concrete. Constr. Build. Mater. 2015, 76, 97–102. [Google Scholar] [CrossRef]
- Wang, T.; Weng, Y.; Cai, X.; Li, J.; Xiao, F.; Sun, G.; Zhang, F. Statistical modeling of low-temperature properties and FTIR spectra of crumb rubber modified asphalts considering SARA fractions. J. Clean. Prod. 2022, 374, 134016. [Google Scholar] [CrossRef]
- Xu, B.; Li, M.; Liu, S.; Fang, J.; Ding, R.; Cao, D. Performance analysis of different type preventive maintenance materials for porous asphalt based on high viscosity modified asphalt. Constr. Build. Mater. 2018, 191, 320–329. [Google Scholar] [CrossRef]
- Miradi, M. In Extraction of rules from artificial neural network for dutch porous asphalt concrete pavement. In Proceedings of the 2007 International Joint Conference on Neural Networks, Orlando, FL, USA, 12–17 September 2007; IEEE: New York, NY, USA, 2007; pp. 1853–1858. [Google Scholar]
- Zhang, Y.; Li, H.; Lu, Q.; Yang, J.; Wang, T. Effect of Different Admixtures on Pore Characteristics, Permeability, Strength, and Anti-Stripping Property of Porous Concrete. Buildings 2022, 12, 1020. [Google Scholar] [CrossRef]
- Zhang, H.; Li, H.; Zhang, Y.; Wang, D.; Harvey, J.; Wang, H. Performance enhancement of porous asphalt pavement using red mud as alternative filler. Constr. Build. Mater. 2018, 160, 707–713. [Google Scholar] [CrossRef]
- Hu, J.; Ma, T.; Zhu, Y.; Huang, X.; Xu, J.; Chen, L. High-viscosity modified asphalt mixtures for double-layer porous asphalt pavement: Design optimization and evaluation metrics. Constr. Build. Mater. 2021, 271, 121893. [Google Scholar] [CrossRef]
- Mabui, D.; Tjaronge, M.; Adisasmita, S.; Pasra, M. Performance of porous asphalt containing modificated Buton asphalt and plastic waste. GEOMATE J. 2020, 18, 118–123. [Google Scholar] [CrossRef]
- Herrington, P.; Reilly, S.; Cook, S. Porous Asphalt Durability Test; Transfund: Lower Hutt, New Zealand, 2005. [Google Scholar]
- Mousavi Rad, S.; Kamboozia, N.; Anupam, K.; Saed, S.A. Experimental Evaluation of the Fatigue Performance and Self-Healing Behavior of Nanomodified Porous Asphalt Mixtures Containing RAP Materials under the Aging Condition and Freeze–Thaw Cycle. J. Mater. Civ. Eng. 2022, 34, 04022323. [Google Scholar] [CrossRef]
- Dan, H.-C.; Ling, C.; Cao, W.; Wang, Z.; Liu, J. Fatigue behavior and phenomenological modeling of porous asphalt concrete under freeze–thaw cycling. Mater. Struct. 2021, 54, 1–11. [Google Scholar] [CrossRef]
- Vallerga, B.; Monismith, C.; Granthem, K. In A study of some factors influencing the weathering of paving asphalts. Assoc. Asphalt Paving Technol. Proc. 1957, 26, 126. [Google Scholar]
- Tu, J.; Yuan, J.; Bao, C.; Cheng, J. Study on ultraviolet radiation aging of road asphalt and SBS modified asphalt. Pet. Asph. 2008, 22, 43–47. [Google Scholar]
- Diao, L.; Gu, S.; Wang, P. Measurements and analyses on Beijing ground surface ultraviolet radiation (spectrum). Sci. Meteorol. Sin. 2003, 23, 22–30. [Google Scholar]
- Fan, T.-J.; Tian, W.-Y.; Xu, D.-L. Influence of mix proportion on abrasion and stripping characteristics of drainage asphalt pavement. Jianzhu Cailiao Xuebao (J. Build. Mater.) 2007, 10, 435–439. [Google Scholar]
- Moore, L.M.; Hicks, R.; Rogge, D.F. Design, construction, and maintenance guidelines for porous asphalt pavements. Transp. Res. Rec. 2001, 1778, 91–99. [Google Scholar] [CrossRef]
- Caro, S.; Masad, E.; Bhasin, A.; Little, D.N. Moisture susceptibility of asphalt mixtures, Part 1: Mechanisms. Int. J. Pavement Eng. 2008, 9, 81–98. [Google Scholar] [CrossRef]
- Mehrara, A.; Khodaii, A. A review of state of the art on stripping phenomenon in asphalt concrete. Constr. Build. Mater. 2013, 38, 423–442. [Google Scholar] [CrossRef]
- Ma, X.; Li, Q.; Cui, Y.-C.; Ni, A.-Q. Performance of porous asphalt mixture with various additives. Int. J. Pavement Eng. 2018, 19, 355–361. [Google Scholar] [CrossRef]
- Mabui, D.; Tjaronge, M.; Adisasmita, S.; Pasra, M. Resistance to cohesion loss in cantabro test on specimens of porous asphalt containing modificated asbuton. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Changchun, China, 21–23 August 2020; IOP Publishing: Bristol, UK, 2020; p. 012100. [Google Scholar]
- Badeli, S.; Carter, A.; Dore, G. Effect of laboratory compaction on the viscoelastic characteristics of an asphalt mix before and after rapid freeze-thaw cycles. Cold Reg. Sci. Technol. 2018, 146, 98–109. [Google Scholar] [CrossRef]
Appearance | Single Particle Mass/g | Density/g/cm3 | Melting Index/g/10 min |
---|---|---|---|
Even-grained, full-grained | ≤0.03 | 0.90~1.00 | ≥20 |
Sieve Size/mm | 13.2 | 9.5 | 4.75 | 2.36 | 1.18 | 0.6 | 0.3 | 0.15 | 0.075 |
Passing rate by mass/% | 88.66 | 57.51 | 25.59 | 14.58 | 10.95 | 9.88 | 7.86 | 6.58 | 5.49 |
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Cheng, Z.; Zheng, S.; Liang, N.; Li, X.; Li, L. Influence of Complex Service Factors on Ravelling Resistance Performance for Porous Asphalt Pavements. Buildings 2023, 13, 323. https://doi.org/10.3390/buildings13020323
Cheng Z, Zheng S, Liang N, Li X, Li L. Influence of Complex Service Factors on Ravelling Resistance Performance for Porous Asphalt Pavements. Buildings. 2023; 13(2):323. https://doi.org/10.3390/buildings13020323
Chicago/Turabian StyleCheng, Zhihao, Shaopeng Zheng, Naixing Liang, Xiao Li, and Libin Li. 2023. "Influence of Complex Service Factors on Ravelling Resistance Performance for Porous Asphalt Pavements" Buildings 13, no. 2: 323. https://doi.org/10.3390/buildings13020323
APA StyleCheng, Z., Zheng, S., Liang, N., Li, X., & Li, L. (2023). Influence of Complex Service Factors on Ravelling Resistance Performance for Porous Asphalt Pavements. Buildings, 13(2), 323. https://doi.org/10.3390/buildings13020323