Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Development of Pavement Temperature Prediction Models for Tropical Regions Incorporation into Flexible Pavement Design Framework
Asphalt pavements are affected by several factors such as traffic loading, materials properties, and environmental conditions. Of these, the environmental conditions have significantly influenced the long-term pavement performance since the variability in climatic factors affects the choice of materials used in pavement construction and rehabilitation. Therefore, collecting and using climatic data of a location becomes critical in selecting the right type of construction materials and the rational design of the pavement layers. Currently, the flexible pavement design guidelines in India do not incorporate real-time climatic data extracted from weather stations; instead, a standard climatic condition is assumed across the country that has diverse climates. To address this, this study was formulated with an object to develop a set of prediction models for estimating pavement temperatures over the entire duration of one full day, representative of any seasonal variation occurring annually in the tropical climate. The scope of the work encompassed: (a) development of mean monthly maximum (Mmax) and minimum (Mmin) temperature models based on the historical weather parameters and geographical coordinates collected from eight designated weather stations by the India Meteorological Department for ten years across the State of Andhra Pradesh, India covering 620 data points, (b) formulation of two different pavement temperature models corresponding to the half-day seasonal variation, and (c) establishment of generalized annual pavement temperature models for tropical regions for the developed Mmax and Mmin models. All the predicted models had high accuracy characterized by excellent statistical goodness of fit measures (R2adj > 90%; Se/Sy < 0.350).
Development of Pavement Temperature Prediction Models for Tropical Regions Incorporation into Flexible Pavement Design Framework
Asphalt pavements are affected by several factors such as traffic loading, materials properties, and environmental conditions. Of these, the environmental conditions have significantly influenced the long-term pavement performance since the variability in climatic factors affects the choice of materials used in pavement construction and rehabilitation. Therefore, collecting and using climatic data of a location becomes critical in selecting the right type of construction materials and the rational design of the pavement layers. Currently, the flexible pavement design guidelines in India do not incorporate real-time climatic data extracted from weather stations; instead, a standard climatic condition is assumed across the country that has diverse climates. To address this, this study was formulated with an object to develop a set of prediction models for estimating pavement temperatures over the entire duration of one full day, representative of any seasonal variation occurring annually in the tropical climate. The scope of the work encompassed: (a) development of mean monthly maximum (Mmax) and minimum (Mmin) temperature models based on the historical weather parameters and geographical coordinates collected from eight designated weather stations by the India Meteorological Department for ten years across the State of Andhra Pradesh, India covering 620 data points, (b) formulation of two different pavement temperature models corresponding to the half-day seasonal variation, and (c) establishment of generalized annual pavement temperature models for tropical regions for the developed Mmax and Mmin models. All the predicted models had high accuracy characterized by excellent statistical goodness of fit measures (R2adj > 90%; Se/Sy < 0.350).
Development of Pavement Temperature Prediction Models for Tropical Regions Incorporation into Flexible Pavement Design Framework
Sustain. Civil Infrastruct.
Akhnoukh, Amin (Herausgeber:in) / Kaloush, Kamil (Herausgeber:in) / Elabyad, Magid (Herausgeber:in) / Halleman, Brendan (Herausgeber:in) / Erian, Nihal (Herausgeber:in) / Enmon II, Samuel (Herausgeber:in) / Henry, Cherylyn (Herausgeber:in) / Gubbala, Chaitanya (Autor:in) / Biligiri, Krishna Prapoorna (Autor:in) / Sandra, Amarendra Kumar (Autor:in)
International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates
21.04.2022
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Pavement temperature prediction models , Tropical climate , Flexible pavement design , Environmental conditions , Long-term pavement performance Engineering , Transportation Technology and Traffic Engineering , Sustainable Development , Building Construction and Design , Building Materials , Earth and Environmental Science
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