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Numerical Approach to Simulate the Effect of Corrosion Damage on the Natural Frequency of Reinforced Concrete Structures
1 Department of Civil and Environmental Engineering, Beirut Arab University, Beirut, 11520, Lebanon
2 Faculty of Engineering, Beirut Arab University, Beirut, 11520, Lebanon
* Corresponding Author: Wael Slika. Email:
Structural Durability & Health Monitoring 2023, 17(3), 175-194. https://doi.org/10.32604/sdhm.2022.023027
Received 06 April 2022; Accepted 23 June 2022; Issue published 25 June 2023
Abstract
Corrosion of reinforcing steel in concrete elements causes minor to major damage in different aspects. It may lead to spalling of concrete cover, reduction of section’s capacity and can alter the dynamic properties. For the dynamic properties, natural frequency is to be a reliable indicator of structural integrity that can be utilized in non-destructive corrosion assessment. Although the correlation between natural frequency and corrosion damage has been reflected in different experimental programs, few attempts have been made to investigate this relationship in forward modeling and/or structural health monitoring techniques. This can be attributed to the limited available data, the complex nature of corrosion, and the involvement of multidisciplinary fields. Therefore, this study presents a numerical attempt to simulate the effect of corrosion damage on the natural frequency of the structure. The approach relies on simulating the time history response of the structure using a modified Bouc-Wen model that incorporates the nonlinear effects of corrosion. Then, modal analysis is utilized to assess the change in dynamic properties in the frequency domain. To finish up, regression algorithms are employed to find optimal relationship between involved parameters, including corrosion damage as input, and natural frequency as output. The efficiency of the suggested framework is illustrated in thirteen buildings with cantilevered column lateral force-resisting system and different levels of corrosion.Keywords
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