Research on Performance of a Dense Graded Ultra-Thin Wearing Course Mixture
Abstract
:1. Introduction
2. Experimental
2.1. Mix Design for Different Asphalt Mixtures
2.2. Test Procedures
2.2.1. Road Performance Evaluation
2.2.2. Texture Depth Evaluation
- After the rectangular specimen with dimensions of 300 × 300 × 50 mm was prepared for the wheel tracking test, its original texture depth (TD) named K0 was measured, as shown in Figure 2a.
- After the silica sands on the specimen surface were washed away, the specimen was submitted to the wheel tracking test for 180 minutes.
- After the wheel tracking test, the rutting area right underneath the wheel loading positions was cut from the tested specimen and then weighed to get its mass m1, as shown in Figure 2b.
- The texture depth K1 for the cut strip specimen, which represents the rutting area under the wheel loading positions after the wheel tracking test, was determined by Equation (1):
- By comparing K0 and K1, the degradation degree of the surface texture depth caused by wheel loading can be obtained.
2.2.3. Interlay Bonding Evaluation
3. Result and Discussions
3.1. Road Performance Evaluation
3.2. Texture Depth Evaluation
3.3. Interlay Bonding Evaluation
4. Conclusions
- A dense-graded ultra-thin wearing course mixture with multi-chain polyolefin modifier and SBS modified asphalt was prepared in this paper. It is proved that the designed asphalt mixture has satisfied high-temperature rutting resistance, low-temperature cracking resistance and moisture resistance to bear the traffic loading and environment effects.
- The test results from combined tests of the wheel tracking test and the texture depth test proved that the designed wearing course mixture shows satisfied skidding resistance and wearing resistance. Field texture depth test results confirmed that the designed wearing course mixture is promising to keep long-term skidding resistance during traffic loading.
- Laboratory and field tests based on the test road indicated that the wearing course paved with the designed ultra-thin wearing course mixture can provide satisfied water-proof and interlayer bonding effects, which are helpful to improve the pavement durability.
- Future work will focus on the fatigue resistance of the ultra-thin wearing course mixture.
Acknowledgments
Author Contributions
Conflicts of Interest
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Mixture Type | Asphalt Content (%) | VV (%) | VMA (%) | VFA (%) | Marshall Stability (kN) | Flow Value (0.1 mm) |
---|---|---|---|---|---|---|
SMA13 | 6.0 | 4.3 | 18.28 | 76.7 | 8.9 | 26.8 |
AC13 | 5.1 | 4.8 | 19.90 | 75.9 | 8.52 | 27.4 |
SMA10 | 6.3 | 4.2 | 18.53 | 77.5 | 10.54 | 28.9 |
UWM10 | 5.2 | 5.1 | 16.0 | 68.0 | 9.83 | 26 |
M-UWM10 | 5.2 | 4.7 | 15.6 | 70.1 | 12.00 | 24 |
Type | x-axis (mm) | y-axis (mm) | z-axis (mm) | 3D-xy-Pixel Size, 3D-z-Pixel Size (mm) |
---|---|---|---|---|
Specification | 200 | 420 | 630 | 0.113 |
Performance Index | Dynamic Stability (cycles/mm) | Failure Strain (µε) | Marshall Stability Ratio (%) | Tensile Strength Ratio (%) |
---|---|---|---|---|
Requirements | ≥3000 | ≥2500 | ≥85 | ≥80 |
Test method | T0719-2011 | T0715-2011 | T0709-2011 | T0729-2000 |
Type of Wearing Course Mixtures | Original Texture Depth (mm) | Texture Depth after One Year (mm) | Reduced Ratio (%) |
---|---|---|---|
M-UWM10 | 0.85 | 0.78 | 8.2 |
SMA10 | 0.92 | 0.8 | 13.0 |
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Geng, L.; Ma, T.; Zhang, J.; Huang, X.; Hu, P. Research on Performance of a Dense Graded Ultra-Thin Wearing Course Mixture. Appl. Sci. 2017, 7, 800. https://doi.org/10.3390/app7080800
Geng L, Ma T, Zhang J, Huang X, Hu P. Research on Performance of a Dense Graded Ultra-Thin Wearing Course Mixture. Applied Sciences. 2017; 7(8):800. https://doi.org/10.3390/app7080800
Chicago/Turabian StyleGeng, Lei, Tao Ma, Junhui Zhang, Xiaoming Huang, and Pengsen Hu. 2017. "Research on Performance of a Dense Graded Ultra-Thin Wearing Course Mixture" Applied Sciences 7, no. 8: 800. https://doi.org/10.3390/app7080800
APA StyleGeng, L., Ma, T., Zhang, J., Huang, X., & Hu, P. (2017). Research on Performance of a Dense Graded Ultra-Thin Wearing Course Mixture. Applied Sciences, 7(8), 800. https://doi.org/10.3390/app7080800