Optimizing asphalt mix design process using artificial neural network and genetic algorithm

Author:

Sebaaly Haissam,Varma Sudhir,Maina James W.

Funder

National Research Foundation

Publisher

Elsevier BV

Subject

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

Reference28 articles.

1. Asphalt Mix Design Methods, MS-2;Asphalt Institute,2014

2. B. Birgisson, B. Ruth, Development of Tentative Guidelines for the Selection of Aggregate Gradations for Hot-Mix Asphalt, Aggregate Contribution to HMA Performance, ASTM 1412, 2001, 2001.

3. A model based on artificial neural networks and genetic algorithms for pavement maintenance management;Bosurgi;Int. J. Pavement Eng.,2005

4. K. Chatti, E. Kutay, N. Lajnef, I. Zaabar, S. Varma, S. Lee, Enhanced Analysis of Falling Weight Deflectometer Data for use with Mechanistic-Empirical Flexible Pavement Design and Analysis and Recommendations for Improvements to Falling Weight Deflectometer, FHWA Report, Washington, DC, 2014

5. Pavement roughness modeling using back-propagation neural networks;Choi;Comput.-Aided Civ. Infrastruct. Eng.,2004

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