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10.12.2018 | Original Article

Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model

verfasst von: Abeer A. Al-Musawi, Afrah A. H. Alwanas, Sinan Q. Salih, Zainab Hasan Ali, Minh Tung Tran, Zaher Mundher Yaseen

Erschienen in: Engineering with Computers | Ausgabe 1/2020

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Abstract

Recent developments on shear strength (V_f) of steel fiber-reinforced concrete beam (SFRCB) simulation have been shifted to the implementation of the computer aid advancements. The current study is attempted to explore new hybrid artificial intelligence (AI) model called integrative support vector regression with firefly optimization algorithm (SVR-FFA) for shear strength prediction of SFRCB. The developed hybrid predictive model is constructed using laboratory experimental data set gathered from the literature and belongs to the shear failure capacity. The related beam dimensional and concrete properties are utilized as input attributes to predict V_f. The proposed SVR-FFA model is validated against classical SVR model and eight empirical formulations obtained from published researches. The attained results of the proposed hybrid AI model exhibited a reliable resultant performance in terms of prediction accuracy. Based on the examined root-mean-square error (RMSE) and the correlation coefficient (R²) over the testing phase, SVR-FFA achieved (RMSE ≈ 0.25 MPa) and (R² ≈ 0.96).

Nächster Artikel Three-dimensional numerical simulation of material mixing observed in FSW using a mesh-free approach

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Titel: Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model
verfasst von: Abeer A. Al-Musawi
Afrah A. H. Alwanas
Sinan Q. Salih
Zainab Hasan Ali
Minh Tung Tran
Zaher Mundher Yaseen
Publikationsdatum: 10.12.2018
Verlag: Springer London
Erschienen in: Engineering with Computers / Ausgabe 1/2020
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI: https://doi.org/10.1007/s00366-018-0681-8

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