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Review on Application of Artificial Intelligence in Civil Engineering

Youqin Huang1, Jiayong Li1, Jiyang Fu1,*

1 Joint Research Center for Engineering Structure Disaster Prevention and Control, Guangzhou University, Guangzhou, 510006, China.

* Corresponding Author: Jiyang Fu. Email: email.

Computer Modeling in Engineering & Sciences 2019, 121(3), 845-875. https://doi.org/10.32604/cmes.2019.07653

Abstract

In last few years, big data and deep learning technologies have been successfully applied in various fields of civil engineering with the great progress of machine learning techniques. However, until now, there has been no comprehensive review on its applications in civil engineering. To fill this gap, this paper reviews the application and development of artificial intelligence in civil engineering in recent years, including intelligent algorithms, big data and deep learning. Through the work of this paper, the research direction and difficulties of artificial intelligence in civil engineering for the past few years can be known. It is shown that the studies of artificial intelligence in civil engineering mainly focus on structural maintenance and management, and the design optimization.

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APA Style
Huang, Y., Li, J., Fu, J. (2019). Review on application of artificial intelligence in civil engineering. Computer Modeling in Engineering & Sciences, 121(3), 845-875. https://doi.org/10.32604/cmes.2019.07653
Vancouver Style
Huang Y, Li J, Fu J. Review on application of artificial intelligence in civil engineering. Comput Model Eng Sci. 2019;121(3):845-875 https://doi.org/10.32604/cmes.2019.07653
IEEE Style
Y. Huang, J. Li, and J. Fu "Review on Application of Artificial Intelligence in Civil Engineering," Comput. Model. Eng. Sci., vol. 121, no. 3, pp. 845-875. 2019. https://doi.org/10.32604/cmes.2019.07653

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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