Evaluation of ANN-Based Dynamic Modulus Models of Asphalt Mixtures

Author:

Barugahare Javilla1ORCID,Amirkhanian Armen N.2ORCID,Xiao Feipeng3,Amirkhanian Serji N.4

Affiliation:

1. Postdoctoral Researcher, Alabama Transportation Institute, Univ. of Alabama, P.O. Box 870288, Tuscaloosa, AL 35487 (corresponding author). ORCID: .

2. Assistant Professor, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, P.O. Box 870205, Tuscaloosa, AL 35487. ORCID: .

3. Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China.

4. Professor, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, P.O. Box 870205, Tuscaloosa, AL 35487.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Reference22 articles.

1. A new simplistic model for dynamic modulus predictions of asphalt paving mixtures;Al-Khateeb G.;J. Assoc. Asphalt Paving Technol.,2006

2. Bari J. 2005. “Development of a new revised version of the Witczak E* predictive models for hot mix asphalt mixtures.” Ph.D. thesis Dept. of Civil and Environmental Engineering Arizona State Univ.

3. Looking to the future: the next-generation hot mix asphalt dynamic modulus prediction models

4. Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt

5. Hirsch model for estimating the modulus of asphalt concrete;Christensen D.;J. Assoc. Asphalt Paving Technol.,2003

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