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Analytical Models of Concrete Fatigue: A State-of-the-Art Review

Xiaoli Wei1, D. A. Makhloof1,2, Xiaodan Ren1,*
1 College of Civil Engineering, Tongji University, Shanghai, 200092, China
2 Department of Civil Engineering, Minia University, EL-Minia, 61111, Egypt
* Corresponding Author: Xiaodan Ren. Email:

Computer Modeling in Engineering & Sciences 2023, 134(1), 9-34. https://doi.org/10.32604/cmes.2022.020160

Received 08 November 2021; Accepted 22 February 2022; Issue published 24 August 2022

Abstract

Fatigue failure phenomena of the concrete structures under long-term low amplitude loading have attracted more attention. Some structures, such as wind power towers, offshore platforms, and high-speed railways, may resist millions of cycles loading during their intended lives. Over the past century, analytical methods for concrete fatigue are emerging. It is concluded that models for the concrete fatigue calculation can fall into four categories: the empirical model relying on fatigue tests, fatigue crack growth model in fracture mechanics, fatigue damage evolution model based on damage mechanics and advanced machine learning model. In this paper, a detailed review of fatigue computing methodology for concrete is presented, and the characteristics of different types of fatigue models have been stated and discussed.

Keywords

Concrete; fatigue lifetime; fatigue crack growth; fatigue damage evolution; machine learning

Cite This Article

Wei, X., Makhloof, D. A., Ren, X. (2023). Analytical Models of Concrete Fatigue: A State-of-the-Art Review. CMES-Computer Modeling in Engineering & Sciences, 134(1), 9–34.



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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