Reconstruction of Asphalt Nanostructures via Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Reconstruction of Asphalt Nanostructures via Generative Adversarial Networks

Published:2023-08 Issue:8 Volume:35 Page:
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Aljarrah Mohammad¹^ORCID,Karaki Ayman²,Masad Eyad³

Affiliation:

1. Traffic/ITS Engineer, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843; formerly, Transportation Dept., AECOM, Houston, TX 77094 (corresponding author). ORCID: .

2. Research Assistant, Mechanical Engineering Program, Texas A&M Univ. at Qatar, P.O. Box 23874, Doha, Qatar.

3. Professor, Mechanical Engineering Program, Texas A&M Univ. at Qatar, P.O. Box 23874, Doha, Qatar.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JMCEE7.MTENG-15418

Reference46 articles.

1. Computational generation of multiphase asphalt nanostructures using random fields

2. Nanoscale viscoelastic characterization of asphalt binders using the AFM-nDMA test

3. Nanostructural and Nanomechanical Properties of LDPE-Modified Binders

4. Structural Characterization of Micromechanical Properties in Asphalt Using Atomic Force Microscopy

5. Identification of the Composite Relaxation Modulus of Asphalt Binder Using AFM Nanoindentation

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