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Innovative Infrastructure Solutions
Erschienen in: Innovative Infrastructure Solutions 2/2021

01.06.2021 | Technical paper

Shear capacity assessment of steel fiber reinforced concrete beams using artificial neural network

verfasst von: Yasser Sharifi, Adel Moghbeli

Erschienen in: Innovative Infrastructure Solutions | Ausgabe 2/2021

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Abstract

Incorporating steel fibers to the concrete members enhances the shear capacity. The shear capacity of steel fiber reinforced concrete (SFRC) beams is an important issue for designing the reinforced concrete structures. Due to numerous parameters that affect the shear capacity of SFRC beams, developing an exact equation to measure the shear resistance of SFRC beams is complicated. To present a more exact equation for shear capacity assessment of SFRC beams, compare to existing formulae the artificial neural networks (ANNs) developed. A series of reliable experimental data collected from the literature. A model-based ANN method for presenting an exact empirical formula developed. The accuracy of the developed formula is verified using several criteria, and a comparison study was carried out between the experimental data and the existing equations. It is understood that the obtained formula gives the most exact result among others. A sensitivity analysis based the Garson’s algorithm was executed to identify the most efficient variables.
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Metadaten
Titel
Shear capacity assessment of steel fiber reinforced concrete beams using artificial neural network
verfasst von
Yasser Sharifi
Adel Moghbeli
Publikationsdatum
01.06.2021
Verlag
Springer International Publishing
Erschienen in
Innovative Infrastructure Solutions / Ausgabe 2/2021
Print ISSN: 2364-4176
Elektronische ISSN: 2364-4184
DOI
https://doi.org/10.1007/s41062-021-00457-5

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