Influence of the Unit Content and Grading Distribution of Fine Aggregates on the Long-term Skid Resistance of Concrete Pavement
Source abstract
Abstract
This study analyzed the influences of the unit content (UC) and grading distribution (FM) of fine aggregates on the long-term skid resistance (SR) of concrete pavement. For this purpose, laboratory specimens using fine aggregates with varying UCs and FMs were made. This study used to measure the SR using a dynamic friction tester (DFT). Additionally, three-dimensional (3D) profile data of the specimen surfaces were collected using a 3D laser profilometer after specific intervals of surface polishing. This study examined the characteristics of SR by surface amplitude indices at specific wavelengths. Furthermore, this paper presents an SR prediction model through multiple linear regression analysis using surface amplitude indices. The results revealed that a combination of micro- and macrotexture amplitude indices at specific wavelengths is suitable for expressing SR. This study also showed that both the UC and FM of fine aggregates have a significant influence on long-term SR. Furthermore, the evaluation of SR using the predicted indices showed the sharpness, shape, and roughness interaction at specific wavelengths with SR. This study recommends that road engineers use this information for better understanding.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Grouting, Rheology, and Soil Mechanics · Geotechnical Engineering and Soil Stabilization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Environmental Engineering, Graduate School of Tokyo Metropolitan University, Tokyo, Japan.
Research and Development Laboratory, Japan Cement Association, Tokyo, Japan.
Concrete Technology Center, Cement and Concrete Research Institute, Sumitomo Osaka Cement Co., Ltd., Tokyo, Japan.
References (45)
Show source-provided references
1. 1) Du, Y., Weng, Z., Li, F., Ablat, G., Wu, D. and Liu, C., (2022). “A novel approach for pavement texture characterization using 2D-wavelet decomposition.” International Journal of Pavement Engineering, 23(6), 1851-1866.10.1080/10298436.2020.1825712 ↗
2. 2) Ech, M., Yotte, S., Morel, S., Breysse, D. and Pouteau, B., (2012). “Qualification of wearing course material surface evolution after durability test.” Construction and Building Materials, 35, 313-320.10.1016/j.conbuildmat.2012.02.081 ↗
3. 3) Edmondson, V., Woodward, J., Lim, M., Kane, M., Martin, J. and Shyha, I., (2019). “Improved noncontact 3D field and processing techniques to achieve macrotexture characterization of pavements.” Construction and Building Materials, 227, 116693.10.1016/j.conbuildmat.2019.116693 ↗
4. 4) Fang, J., Tu, J. and Wu, K., (2020). “Analysis of skid resistance and noise characteristics for varieties of concrete pavement.” Advances in Materials Science and Engineering, 2020, 7427314.10.1155/2020/7427314 ↗
5. 5) Fukahori, Y., Gabriel, P., Liang, H. and Busfield, J. J. C., (2020). “A new generalized philosophy and theory for rubber friction and wear.” Wear, 446, 203166.10.1016/j.wear.2019.203166 ↗
6. 6) Fwa, T. F. and Chu, L., (2021). “The concept of pavement skid resistance state.” Road Materials and Pavement Design, 22(1), 101-120.10.1080/14680629.2019.1618366 ↗
7. 7) Fwa, T. F. and Tan, C. C., (1992). “Laboratory study of microtexture-related skid resistance characteristics of concrete pavement materials.” Journal of Testing and Evaluation, 20(3), 207-215.10.1520/JTE11713J ↗
8. 8) Hall, J. W., Smith, K. L., Titus-Glover, L., Wambold, J. C., Yager, T. J. and Rado, Z., (2009). “Guide for pavement friction (Final Report of NCHRP Project 01-43).” Washington DC: Transportation Research Board of the National Academies.
9. 9) Hu, L., Yun, D., Liu, Z., Du, S., Zhang, Z. and Bao, Y., (2016). “Effect of three-dimensional macrotexture characteristics on dynamic frictional coefficient of asphalt pavement surface.” Construction and Building Materials, 126, 720-729.10.1016/j.conbuildmat.2016.09.088 ↗
10. 10) Hu, Y., Sun, Z., Han, Y., Li, W. and Pei, L., (2023). “Evaluate pavement skid resistance performance based on Bayesian-LightGBM using 3D surface macrotexture data.” Materials, 15(15), 5275.10.3390/ma15155275 ↗
11. 11) Hu, Y., Sun, Z., Pei, L., Han, Y. and Li, W., (2024). “Evaluate asphalt pavement frictional characteristics based on IGWO-NGBoost using 3D macro-texture data. expert systems with applications.” 242, 122786.10.1016/j.eswa.2023.122786 ↗
12. 12) ISO, (2021). “Geometrical product specifications (GPS) — Surface texture: Areal — Part 2: Terms, definitions and surface texture parameters (ISO 25178-2).” Brussels: International Organization for Standardization.
13. 13) Izuo, H., Nabeshima, M., Yasuhisa, K., Kishira, R. and Ueno, A., (2021). “Examination of the relationship between slip resistance of concrete pavement and road surface texture.” Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering), 77(2), I_145-I_153. (in Japanese)10.2208/jscejpe.77.2_I_145 ↗
14. 14) Jiang, B. and Wang, H., (2023). “An integrated analytical model for friction characteristics of aircraft tire on wet runway pavement.” Tribology International, 185, 108501.10.1016/j.triboint.2023.108501 ↗
15. 15) JSA, (2018). “Geometrical product specifications (GPS) for filtering - Linear areal filters: Gaussian filters (JIS B 0635).” Tokyo: Japanese Standards Association.
16. 16) Kanafi, M. M. and Tuononen, A. J., (2017). “Application of three-dimensional printing to pavement texture effects on rubber friction.” Road Materials and Pavement Design, 18(4), 865-881.10.1080/14680629.2016.1194883 ↗
17. 17) Kane, M. and Do, M. T., (2023). “Toward the determination of the appropriate capturing resolution of surface textures in relation to pavement friction.” Engineering Proceedings, 36(1), 023.10.3390/engproc2023036023 ↗
18. 18) Kane, M. and Edmondson, V., (2020). “Long-term skid resistance of asphalt surfacings and aggregates’ mineralogical composition: Generalization to pavements made of different aggregate types.” Wear, 454, 203339.10.1016/j.wear.2020.203339 ↗
19. 19) Kane, M. and Edmondson, V., (2022). “Tire/road friction prediction: Introduction to a simplified numerical tool based on contact modeling.” Vehicle System Dynamics, 60(3), 770-789.10.1080/00423114.2020.1832696 ↗
20. 20) Kane, M., Do, M. T., Cerezo, V., Rado, Z. and Khelifi, C., (2019). “Contribution to pavement friction modeling: An introduction of the wetting effect.” International Journal of Pavement Engineering, 20(8), 965-976.10.1080/10298436.2017.1369776 ↗
21. 21) Kane, M., Rado, Z. and Timmons, A., (2015). “Exploring the texture-friction relationship: From texture empirical decomposition to pavement friction.” International Journal of Pavement Engineering, 16(10), 919-928.10.1080/10298436.2014.972956 ↗
22. 22) Lashari, A. R., Ali, Y., Buller, A. S. and Memon, N. A., (2022). “Effects of partial replacement of fine aggregates with crumb rubber on skid resistance and mechanical properties of cement concrete pavements.” International Journal of Pavement Engineering, 24(2), 2077940.10.1080/10298436.2022.2077940 ↗
23. 23) Lei, J. A., Zhao, F., Wang, Y. and Ren, X., (2024). “Research on surface treatment technology for quickly improving the skid resistance of tunnel concrete pavement.” PLoS ONE, 19(3), e0295938.10.1371/journal.pone.0295938 ↗
24. 24) Leng, Z., Fan, Z., Liu, P., Kollmann, J., Oeser, M., Wang, D. and Jiang, X., (2023). “Texturing and evaluation of concrete pavement surface: A state-of-the-art review.” Journal of Road Engineering, 3(3), 252-265.10.1016/j.jreng.2023.08.001 ↗
25. 25) Li, P., Yi, K., Yu, H., Xiong, J. and Xu, R., (2021). “Effect of aggregate properties on long-term skid resistance of asphalt mixture.” Journal of Materials in Civil Engineering, 33(1), 04020413.10.1061/(ASCE)MT.1943-5533.0003539 ↗
26. 26) Li, Q. J., Zhan, Y., Yang, G. and Wang, K. C. P., (2020). “Pavement skid resistance as a function of pavement surface and aggregate texture properties.” International Journal of Pavement Engineering, 21(10), 1159-1169.10.1080/10298436.2018.1525489 ↗
27. 27) Najafi, S., Flintsch, G. W. and Khaleghian, S., (2019). “Pavement friction management – Artificial neural network approach.” International Journal of Pavement Engineering, 20(2), 125-135.10.1080/10298436.2016.1264221 ↗
28. 28) PIARC, (1987). “Report of PIARC Technical Committee -1: Optimization of surface characteristics.” In: Proc. VXIIth World Road Congress, Brussels 13-19 September 1987. Paris: Permanent International Association of Road Congresses (PIARC), 97-101.
29. 29) Rith, M., Kim, Y. K. and Lee, S. W., (2020). “Characterization of long-term skid resistance in exposed aggregate concrete pavement.” Construction and Building Materials, 256, 119423.10.1016/j.conbuildmat.2020.119423 ↗
30. 30) Roy, N., Mondal, P. G. and Kumar Kuna, K. K., (2023). “Image-based indices of aggregates for predicting the initial skid resistance of bituminous pavements.” Construction and Building Materials, 400, 132776.10.1016/j.conbuildmat.2023.132776 ↗
31. 31) Šernas, O., Zofka, A., Vaitkus, A. and Gražulytė, J., (2020). “The effect of exposed aggregate concrete gradation on the texture characteristics and durability.” Construction and Building Materials, 261, 119921.10.1016/j.conbuildmat.2020.119921 ↗
32. 32) Tan, Y., Li, J., Xu, H., Li, Z. and Wang, H., (2023). “The mechanisms, evaluation and estimation of anti-skid performance of snowy and icy pavement: A review.” Journal of Road Engineering, 3(3), 229-238.10.1016/j.jreng.2023.08.002 ↗
33. 33) Villani, M. M., Artamendi, I., Kane, M. and Scarpas, A., (2011). “Contribution of hysteresis component of tire rubber friction on stone surfaces.” Transportation Research Record, 2227(1), 153-162.10.3141/2227-17 ↗
34. 34) Wang, D., Zhang, Z., Kollmann, J. and Oeser, M., (2020a). “Development of aggregate micro-texture during polishing and correlation with skid resistance.” International Journal of Pavement Engineering, 21(5), 629-641.10.1080/10298436.2018.1502436 ↗
35. 35) Wang, H. L., Qian, J. S., Liu, J., Nan, X. L., Qu, S. Z., Li, X. M. and Liu, Y., (2023). “Wear resistance analysis of steel slag aggregates based on morphology characteristics.” Construction and Building Materials, 409, 133649.10.1016/j.conbuildmat.2023.133649 ↗
36. 36) Wang, H., Wang, C., Bu, Y., You, Z., Yang, X. and Oeser, M., (2020b). “Correlate aggregate angularity characteristics to the skid resistance of asphalt pavement based on image analysis technology.” Construction and Building Materials, 242, 118150.10.1016/j.conbuildmat.2020.118150 ↗
37. 37) Wasilewska, M., Gierasimiuk, P. and Gardziejczyk, W., (2022). “Comparison of skid resistance of EAC pavement with different maximum aggregate grain size.” International Journal of Pavement Engineering, 23(11), 3930-3940.10.1080/10298436.2021.1931192 ↗
38. 38) Xiao, S. Q., Tan, T., Xing, C. and Tan, Y., (2022). “A contribution to texture analysis of pavements under simulated polishing: Some new findings.” International Journal of Pavement Engineering, 23(7), 2370-2379.10.1080/10298436.2020.1855351 ↗
39. 39) Xiao, Y., Wang, F., Cui, P., Lei, L., Lin, J. and Yi, M., (2020). “Evaluation of fine aggregate morphology by image method and its effect on skid-resistance of microsurfacing.” Materials, 11(6), 0920.10.3390/ma11060920 ↗
40. 40) Yang, G., Wang, K. C. P. and Li, J. Q., (2021). “Multiresolution analysis of three-dimensional (3D) surface texture for asphalt pavement friction estimation.” International Journal of Pavement Engineering, 22(14), 1882-1891.10.1080/10298436.2020.1726350 ↗
41. 41) Yun, D., Sha, A., Hu, L., Tang, C. and Gao, J., (2022). “Laboratory study on the relationship between pavement texture and tread rubber penetration depth.” International Journal of Pavement Engineering, 23(5), 1645-1658.10.1080/10298436.2020.1819539 ↗
42. 42) Zhan, Y., Li, J. Q., Liu, C., Wang, K. C. P., Pittenger, D. M. and Musharraf, Z., (2021). “Effect of aggregate properties on asphalt pavement friction based on random forest analysis.” Construction and Building Materials, 292, 123467.10.1016/j.conbuildmat.2021.123467 ↗
43. 43) Zhan, Y., Liu, C., Deng, Q., Feng, Q., Qiu, Y., Zhang, A. and He, X., (2022). “Integrated FFT and XGBoost framework to predict pavement skid resistance using automatic 3D texture measurement.” Measurement, 188, 110638.10.1016/j.measurement.2021.110638 ↗
44. 44) Zhao, J., Wang, X., Zhou, B., Wu, W., Zheng, W. and Yuan, C., (2023). “Influence of surface characteristics of cement pavement on ice-concrete adhesion.” Construction and Building Materials, 394, 132259.10.1016/j.conbuildmat.2023.132259 ↗
45. 45) Zheng, N., Bi, J., Dong, S., Lei, J., He, Y., Cui, Z. and Chen, L., (2022). “Testing and evaluation for long-term skid resistance of asphalt pavement composite seal using texture characteristics.” Construction and Building Materials, 356, 129241.10.1016/j.conbuildmat.2022.129241 ↗