Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan

Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road)

Published:2019-01-01 Issue:1 Volume:13 Page:188-198
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Karballaeezadeh Nader¹,Mohammadzadeh S Danial²,Shamshirband Shahaboddin³⁴,Hajikhodaverdikhan Pouria⁵,Mosavi Amir⁶⁷,Chau Kwok-wing⁸

Affiliation:

1. Department of Civil Engineering, Science and Research Branch of Islamic Azad University, Tehran, Iran

2. Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

3. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

4. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

5. Faculty Engineering, Department of Computer Engineering, Rouzbahan Institute of Higher Education, Sari, Iran

6. Kando Kalman Faculty of Electrical Engineering, Institute of Automation, Obuda University, Budapest, Hungary

7. Centre for Media, Data and Society, School of Public Policy, Central European University, Budapest, Hungary

8. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People's Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://tandfonline.com/doi/pdf/10.1080/19942060.2018.1563829

Reference34 articles.

1. Balla, C. K. (2010). Prediction of remaining service life of pavements (Doctoral dissertation). The University of Toledo, Toledo.

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3. Mechanistic-Empirical Design of Bituminous Roads: An Indian Perspective

4. Elkins, G. E., Thompson, T. M., Groerger, J. L., Visintine, B. & Rada, G. R. (2013). Reformulated pavement remaining service life framework, United States (Report No. FHWA-HRT-13-038). Federal Highway Administration.

5. Computational intelligence approach for modeling hydrogen production: a review

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