| Autor: |
Ahad Amini Pishro, Shiquan Zhang, Zhengrui Zhang, Yana Zhao, Mojdeh Amini Pishro, Lili Zhang, Qihong Yang, Victor Postel |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Materials; Volume 15; Issue 9; Pages: 3213 |
| ISSN: |
1996-1944 |
| DOI: |
10.3390/ma15093213 |
| Popis: |
Fiber-reinforced polymers (FRPs) retrofit reinforced concrete (RC) structures. ABAQUS finite element software was used to perform numerical parametric analysis on a group of RC beams in this research. All specimens were retrofitted by FRP strips as an external retrofitting and experimentally tested up to previous researchers’ failure points. The range of subjects examined in these RC beams included cracking torque, ultimate torque, angle of twist, and the effect of using FRP on these subjects. We applied artificial neural networks (ANNs) to predict the structural behavior of RC beams under combined torsion and bending to develop the research accuracy. After testing, the ANN results were compared with the ABAQUS results. Consequently, a reasonable examination of the determined mathematical and trial results confirmed this study’s logical accuracy in predicting retrofitted RC beams’ structural behavior under combined loading. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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