Computational intelligence for modeling of asphalt pavement surface distress-Reference-Cited by-同舟云学术

Computational intelligence for modeling of asphalt pavement surface distress

Published:2020 Issue: Volume: Page:79-116
ISSN:
Container-title:New Materials in Civil Engineering
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Author:

Ranjbar Sajad,Nejad Fereidoon Moghadas,Zakeri Hamzeh,Gandomi Amir H.

Publisher

Elsevier

Reference220 articles.

1. M.Y. Shahin, Pavement Management for Airports, Roads, and Parking Lots, Chapman & Hall, 1994.

2. 19 – The hybrid method and its application to smart pavement management;Nejad,2013

3. P.K. Agarwal, J. Gurjar, A.K. Agarwal, R. Birla, Application of artificial intelligence for development of intelligent transport system in smart cities. Int. J. Transp. Eng. Traffic System 1 (1), (2015) 20–30.

4. Applications of computational intelligence in behavior simulation of concrete materials;Gandomi,2011

5. G.W. Flintsch, C. Chen, Soft computing applications in infrastructure management. J. Infrastruct. Syst. 10 (4) (2004) 157–166.

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