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Application of Artificial Neural Networks for Predicting Axial Strain of FRP-Confined Concrete

Multiple research studies have developed frameworks to forecast the ability of concrete structural elements to withstand compression along their length. However, further exploration is required to refine predictions for the axial compressive strain, as existing strain models lack precision. The earl...

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主要な著者: Iqbal Muhammad Azan, Ali Muhammad, Bahu Muhammad Ali, Nadeem Khawaja Zain, Mustafa Muhammad Atta, Raza Ali
フォーマット: Artigo
言語:Inglês
出版事項: EDP Sciences 2024-01-01
シリーズ:MATEC Web of Conferences
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オンライン・アクセス:https://www.matec-conferences.org/articles/matecconf/pdf/2024/10/matecconf_mtme24_01033.pdf
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