Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique-Reference-Cited by-同舟云学术

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Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique

Published:2017-09 Issue: Volume:148 Page:666-674
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Mirabdolazimi S.M.,Shafabakhsh Gh.

Publisher

Elsevier BV

Subject

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

Reference21 articles.

1. Asphalt Construction for Pavements and Highways;Richardson,2008

2. Pavement Analysis and Design;Huang,1993

3. Asphalt Crack Detection Using Thermography;Tarek,2005

4. Road Pavement;Tabatabaei,2005

5. Comparison of unconfined and confined creep tests for hot mix asphalt;Brown;Mater. Civil Eng. J.,2004

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2. Predicting Rutting Development Using Machine Learning Methods Based on RIOCHTrack Data;Applied Sciences;2024-04-10

3. Presentation of machine learning methods and multi-objective optimization of fracture indices for asphalt rubber mixtures containing wax-based warm mix additives modified by nano calcium carbonate;Construction and Building Materials;2023-12

4. Understanding the Effects of Plastic Fines as a Bitumen Modifier on the Performance Properties of Hot Mix Asphalt;ASEC 2023;2023-10-27

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