Studying the impact of aggregates and mix volumetric properties on the moisture resistance of asphalt concrete using a feed-Forward artificial neural network-Reference-Cited by-同舟云学术

Studying the impact of aggregates and mix volumetric properties on the moisture resistance of asphalt concrete using a feed-Forward artificial neural network

Published:2023-01-19 Issue:11 Volume:24 Page:2737-2758
ISSN:1468-0629
Container-title:Road Materials and Pavement Design
language:en
Short-container-title:Road Materials and Pavement Design

Author:

Dalhat M. A.¹^ORCID,Osman Sami A.¹^ORCID

Affiliation:

1. Transportation and Traffic Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/14680629.2023.2165533

Reference50 articles.

1. Standard method of test for resistance to plastic flow of asphalt mixtures using Marshall apparatus;AASHTO:T245;American Association of State Highway and Transportation Officials (AASHTO),2019

2. Influence of Aggregate Type and Gradation on Voids of Asphalt Concrete Pavements

3. Effect of aggregate properties on asphalt mixtures stripping and creep behavior

4. Mitigation of moisture damage in asphalt concrete: Testing techniques and additives/modifiers effectiveness

5. State of the Art Report on Moisture Sensitivity Test Methods for Bituminous Pavement Materials

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2. Empirical Model for the Retained Stability Index of Asphalt Mixtures Using Hybrid Machine Learning Approach;Applied System Innovation;2023-10-18

3. 3D Reconstruction and morphology analysis of coarse aggregate using optical laser triangulation and image processing technology;Road Materials and Pavement Design;2023-06-24