Development of Pavement Temperature Prediction Models for Tropical Regions Incorporation into Flexible Pavement Design Framework
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-79801-7_83
Reference18 articles.
1. Assogba, O.C., Tan, Y., Zhou, X., Zhang, C., Anato, J.N.: (2020). Numerical investigation of the mechanical response of semi-rigid base asphalt pavement under traffic load and nonlinear temperature gradient effect. Constr. Build. Mater. 235, 117406 (2020). https://doi.org/10.1016/j.conbuildmat.2019.117406
2. Bizjak, F.K, Dawson, A., Hoff, I., Makkonen, L., Yihaisi, J.S., Carrera, A.: The impact of climate change on the European road network. In: Proceedings of the Institution of Civil Engineers – Transport, vol. 167, no. 5, pp. 281–295 (2014). https://doi.org/10.1680/tran.11.00072
3. Bosscher, P., Bahia, H., Thomas, S., Russell, J.: Relationship between pavement temperature and weather data: wisconsin field study to verify super pave algorithm. Transp. Res. Rec.: J. Transp. Res. Board 1609, 1–11 (1998). https://journals.sagepub.com/doi/abs/10.3141/1609-01
4. Chandrappa, A.K., Biligiri, K.P.: Development of pavement-surface temperature predictive models: parametric approach. J. Mater. Civ. Eng. 27(12), 0401514 (2016). https://doi.org/10.1061/(ASCE)MT.1943-5533.0001415
5. Diefenderfer, B.K., Al-Qadi, I.L., Diefenderfer, S.D.: Model to predict pavement temperature profile: development and validation. J. Transp. Eng. 132(2), 162–167 (2006). https://doi.org/10.1061/(asce)0733-947x(2006)132:2(162)
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