Modelling and prediction of binder content using latest intelligent machine learning algorithms in carbon fiber reinforced asphalt concrete

Author:

Upadhya Ankita,Thakur M.S.,Sihag Parveen,Kumar Raj,Kumar Sushil,Afeeza Aysha,Afzal Asif,Ahamed Saleel C

Funder

King Khalid University

Publisher

Elsevier BV

Subject

General Engineering

Reference69 articles.

1. A.S. AL-Ridha, A.N. Hameed, S.K., Ibrahim, Effect of steel Fiber on the Performance of Hot Mix Asphalt with Different Temperature sand Compaction, Australian Journal of Basic and Applied Sciences,8 (2014.) 123-132.

2. Assessment resistance potential to moisture damage and rutting for HMA mixtures reinforced by steel fibers;Saleem;Civil Eng. J.,2020

3. Assessment of soft computing-based techniques for the prediction of Marshall stability of asphalt concrete reinforced with glass fiber;Upadhya;Int. J. Pavement Res. Technol.,2021

4. Bitumen and its modifier for use in pavement engineering;Honarmand;Sustain. Constr. Build. Mater.,2019

5. Prediction of the hot asphalt mix properties using deep neural networks;Othman;Beni-Suef University J. Basic Appl. Sci.,2022

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