Title: Temperature prediction model for flexible pavements at various depths for the States of Arizona and Minnesota

Authors: Karthikeyan Loganathan; Mayzan Isied; Mena Souliman

Addresses: Department of Civil Engineering and Construction Management, The University of Texas at Tyler, Tyler, Texas – 75799, USA ' Department of Civil Engineering and Construction Management, The University of Texas at Tyler, Tyler, Texas – 75799, USA ' Department of Civil Engineering and Construction Management, The University of Texas at Tyler, Tyler, Texas – 75799, USA

Abstract: Temperature variation significantly influences the selection of the asphalt binder grade. Also, since that the asphalt is a viscoelastic material, the critical responses such as surface deflection and stiffness of the asphalt layer will be highly affected by any temperature change. Most of the methods employed by transportation agencies to measure pavement temperature at present involve drilling a bore hole; therefore, generating a hazard that may cause pavement deterioration. A simple and non-destructive method to predict the pavement temperature is one of the important requirements for pavement engineers. This study created a model that can predict the pavement temperature at various depths utilising basic climatic parameters such as air temperature, pavement surface temperature, relative humidity, and precipitation. Required data were extracted from an open source online database and the two generated models for the state of Minnesota and the state of Arizona were reliable with an acceptable coefficient of determination value.

Keywords: hot mix asphalt; pavement section; surface temperature; precipitation; regression analysis; viscoelastic; binder grade; viscosity variations; temperature prediction; pavement temperature.

DOI: 10.1504/IJFE.2018.098526

International Journal of Forensic Engineering, 2018 Vol.4 No.2, pp.145 - 155

Received: 29 Jun 2018
Accepted: 28 Nov 2018
Published online: 25 Mar 2019 *

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