Abstract
Transverse cracks dominated by reflective cracks are one of the most common diseases of expressways in our country. In order to improve the structural integrity and driving comfort, this study relied on big data stored in the PMS of Jiangsu Province to analyze the development law and influencing factors of transverse cracks in semi-rigid base asphalt pavement. Two index types, node index and development index, were proposed, and the evaluation results and significant influencing factors of these two evaluations indexes were analyzed respectively. The fitting model function in JMP software was used to statistically analyze the traffic and structural influence factors of the transverse crack in the total mileage of 854 km of 291 original road sections. Then the SCB test was carried out to obtain the fracture energy of each sublayer of the sections. At last, a TCS prediction model was constructed by the significant influencing factors and the composite fracture energy representing the overall crack resistance level of the asphalt layer. The results of this study show that 85% of the road sections cracked for the first time within 3–9 years of opening to traffic. The first 5 years after opening to traffic was the slow development stage of transverse cracks, and the 5–10 years was the stage of rapid development of transverse cracks. 10–15 years later, the development speed of transverse cracks tended to slow down. The main factors affecting the generation and development of transverse cracks are traffic volume, the gradation type of each layer, the thickness of modified asphalt layer and the type of base material.
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References
Alaswadko, N., Hassan, R., Meyer, D., et al.: Probabilistic prediction models for crack initiation and progression of spray sealed pavements. Int. Pavement Eng. 1–11 (2016)
Wang, J., Wang, H., Wang, X., et al.: Study on the development law of transverse cracks in asphalt pavement with semi-rigid base. In: CICTP 2019, pp. 1058–1067 (2019)
Song, J., Bai, P., Guan, X.: Modeling analysis of reflective crack of semi-rigid base asphalt pavement. Highw. Eng. 42(03), 40–44+51 (2017)
Fallah, S., Khodaii, A.: Evaluation of parameters affecting reflection cracking in geogrid-reinforced overlay. J. Cent. South Univ. (Engl. Vers.)22(3), 10 (2015)
Wang, X., Huang, X., Bian, G.: Analysis on mechanism of using LSPM for preventing reflective cracks in asphalt pavement with semi-rigid base. J. Highw. Transp. Res. Dev. 33(07), 12–18 (2016)
Yarrapureddi, H.K.R., Souliman, M.: Model for Predicting Reflection Cracking in Asphalt Overlay Pavements (2020)
Zhou, L.: Research on Performance Evaluation and Prediction of Asphalt Pavement of Expressway. SoutheastUniversity (2015)
Zhu, Y.: Research on Design Control Index of Semi-rigid Base Asphalt Pavement. SoutheastUniversity (2019)
Xu, H.: Research on Reflection Crack Propagation and Fatigue Life of Semi-rigid Base Asphalt Concrete Pavement. Guangxi University (2012)
Zhou, L., Ni, F., Zhao, Y.: Evaluation method for transverse cracking in asphalt pavements on freeways. Transp. Res. Rec. 2153, 97–105 (2010)
Pérez-Jiménez, F., et al.: Effect of load application rate and temperature on the fracture energy of asphalt mixtures. Fénix and semi-circular bending tests. Constr. Build. Mater. 48(Complete), 1067–1071 (2013)
Archilla, A.R., Diaz, L.G.: Effects of asphalt mixture properties on permanent deformation response. Transp. Res. Rec.: J. Transp. Res. Board (2011)
Gu, F., Luo, X., West, R.C., et al.: Energy-based crack initiation model for load-related top-down cracking in asphalt pavement. Constr. Build. Mater. 159, 587–597 (2018)
Onifade, I., Birgisson, B., Balieu, R.: Energy-based damage and fracture framework for viscoelastic asphalt concrete. Eng. Fract. Mech. 145, 67–85 (2015)
Carpenter, S.H., Lytton, R.L., Epps, J.: Environmental factors relevant to pavement cracking in West Texas. Environ. Impacts (1974)
Zhang, Y.Q., Jia, S.Y.: Evaluation method for asphalt pavement performance of freeway. J. Changan Univ. (2005)
Lancaster, I.M., Khalid, H.A., Kougioumtzoglou, I.A.: Extended FEM modelling of crack propagation using the semi-circular bending test. Constr. Build. Mater. 48(Complete), 270–277 (2013)
Mahmoud, E., Saadeh, S., Hakimelahi, H., et al.: Extended finite-element modelling of asphalt mixtures fracture properties using the semi-circular bending test. Road Mater. Pavement Des. 15(1), 14 (2014)
Liu, H.J.: Fatigue life evaluation of asphalt rubber mixtures using semi-circular bending test. Adv. Mater. Res. 255–260, 3444–3449 (2011)
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Zhu, Y., Ma, W., Cong, L., Li, C., Hu, S. (2023). Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_10
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DOI: https://doi.org/10.1007/978-981-99-3300-6_10
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