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Keywords

Optimization
FRP materials
Artificial intelligence (AI)
genetic algorithm
beams
Strengthening

Abstract

Fiber Reinforced Polymer (FRP) materials have become more popular according to contemporary developments in civil engineering applications. These materials have been used to repair and rehabilitate traditional structures. In turn, the majority of currently used applications are the result of research and recommendations made by fiber composite manufacturers or the experience of the designer. Therefore, optimization techniques try to achieve the best design under different conditions in structural design. An extensive search was conducted on existing research in the literature on applying optimization techniques such as artificial intelligence (AI) methods to reinforced concrete members that were externally strengthened with FRP materials. This paper provides a concise assessment of many studies that have been done in the literature on the behavior and strength of fiber-reinforced concrete elements, particularly in shear and bending scenarios. Each study's methodology and key findings are summarized.
https://doi.org/10.33899/rengj.2023.139008.1244
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