Evaluation and calibration of dynamic modulus prediction models of asphalt mixtures for hot climates: Qatar as a case study

Author:

Al-Tawalbeh Ahmad,Sirin OkanORCID,Sadeq MohammedORCID,Sebaaly HaissamORCID,Masad Eyad

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference35 articles.

1. AASHTO Guide for Design of Pavement Structures, 1993;American Association of State Highway and Transportation Officials,1993

2. Performance of MEPDG dynamic modulus predictive models for asphalt concrete mixtures: local calibration for Idaho;El-Badawy;J. Mater. Civ. Eng.,2012

3. Hirsch model for estimating the modulus of asphalt concrete;Christensen;Asph. Paving Technol.,2003

4. G. Al-Khateeb, A. Shenoy, N. Gibson, T. Harman, A new simplistic model for dynamic modulus predictions of asphalt paving mixtures, in: Proceedings of the 2006 Annu. Meet. Assoc. Asph. Paving Technol., no. January, 2006.

5. Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction;Moussa;Constr. Build. Mater.,2020

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