Ntramah, S.; Tutu, K.A.; Tuffour, Y.A.; Adams, C.A.; Adanu, E.K. Evaluation of Selected Empirical Models for Asphalt Pavement Temperature Prediction in a Tropical Climate: The Case of Ghana. Sustainability2023, 15, 15846.
Ntramah, S.; Tutu, K.A.; Tuffour, Y.A.; Adams, C.A.; Adanu, E.K. Evaluation of Selected Empirical Models for Asphalt Pavement Temperature Prediction in a Tropical Climate: The Case of Ghana. Sustainability 2023, 15, 15846.
Ntramah, S.; Tutu, K.A.; Tuffour, Y.A.; Adams, C.A.; Adanu, E.K. Evaluation of Selected Empirical Models for Asphalt Pavement Temperature Prediction in a Tropical Climate: The Case of Ghana. Sustainability2023, 15, 15846.
Ntramah, S.; Tutu, K.A.; Tuffour, Y.A.; Adams, C.A.; Adanu, E.K. Evaluation of Selected Empirical Models for Asphalt Pavement Temperature Prediction in a Tropical Climate: The Case of Ghana. Sustainability 2023, 15, 15846.
Abstract
Asphalt pavement temperature has several applications, including pavement structural design and evaluation, asphalt mixture design, asphalt binder grade determination and material aging characterization. However, available asphalt pavement temperature prediction models were mostly developed for temperate climatic conditions, outside of the tropics. Before such models are adopted for use in a tropical climate, their applicability must be evaluated. This study evaluated five empirical asphalt pavement temperature prediction models developed by Lukanen et al. [1], Park et al. [2], Diefenderfer et al. [3], Taamneh [4] all in the United States and Asefzadeh et al. [5] in Canada to ascertain their prediction accuracy in tropical climate, using Ghana as a case study. In-situ asphalt pavement temperature data were measured at two sites for eight months: Kumasi and Tamale in the Forest and Savannah climatic zones, respectively. The measured pavement temperature data were statistically compared with predicted temperatures, and it was found that the Park et al. [2] model provided a more accurate pavement temperature prediction in both climatic zones. The other models either over-predicted or under-predicted asphalt pavement temperature with significant error margins. However, there is a need to improve the prediction accuracy of the Park et al. [2] model or a local model developed.
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