A model for variation with time of flexiblepavement temperature

Author:

Hilal Miami M.1,Fattah Mohammed Y.1

Affiliation:

1. Civil Engineering Department, University of Technology , Baghdad , Iraq

Abstract

Abstract The bituminous material performance is affected basically by the prevailing temperatures. The mechanical properties of these materials can vary significantly with the changes in the temperature magnitude. Hot mix asphalt (HMA) is a visco-elastoplastic material, so the pavement structural capacity is affected by the temperature variations. To determine the characteristics of the strength of the flexible pavement rationally, the prediction of the distribution of temperature in HMA pavement layers is a must. Heavy loadings subjected to highways and roads can cause serious deterioration to the HMA pavements. In this research, the temperature for three thicknesses of asphalt pavement structure was measured, and the air temperature to predict a model explains the relationship between the temperature and the depth of the pavement structure. The suggested model was successfully validated utilizing the data from three depths of asphalt pavement structure and the temperature on the surface of the asphalt pavement. The developed model consists of two independent variables, which are the depth within the pavement and ambient air temperature. The predicted model will be useful for the pavement designers those in need to predict the temperature of the profile of pavement to determine the engineering characteristics of field pavement.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering,Environmental Engineering

Reference22 articles.

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3. Lukanen EO, Han C, Skok, Jr EL. Probabilistic method of asphalt binder selection based on pavement temperature. Transportation research record 1609. Washington, DC: TRB, National Research Council; 1998. p. 12–20.

4. Bosscher PJ, Bahia HU, Thomas S, Russell JS. Relationship between pavement temperature and weather data: wisconsin field study to verify SuperPave algorithm. Transportation research record 1609, TRB. Washington, DC: National Research Council; 1998. p. 1–11.

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