Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data-Reference-Cited by-同舟云学术

Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data

Published:2020-10 Issue: Volume:257 Page:119549
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Hamim Asmah,Md. Yusoff Nur Izzi^ORCID,Omar Hend Ali,Jamaludin Nor Azliana Akmal,Hassan Norhidayah Abdul^ORCID,El-Shafie Ahmed^ORCID,Ceylan Halil

Funder

Universiti Kebangsaan Malaysia

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference48 articles.

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2. Advanced approaches to hot-mix asphalt dynamic modulus prediction;Ceylan;Can. J. Civ. Eng.,2008

3. Practical procedure for developing dynamic modulus master curves for pavement structural design;Bonaquist;Transp. Res. Rec.,2005

4. C.E. Dougan, J.E. Stephens, J. Mahoney, G. Hansen, E*-Dynamic Modulus: Test protocol-problems and solution (No. CT-SPR-0003084-F-03-3). University of Connecticut. Connecticut Transportation Institute, 2003.

5. Dynamic modulus prediction of HMA mixtures based on the viscoelastic micromechanical model;Shu;J. Mater. Civ. Eng.,2008

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