2024
DOI: 10.1080/23311916.2023.2297501
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Interfacial bond capacity prediction of concrete-filled steel tubes utilizing artificial neural network

Hatem H. Almasaeid,
Donia G. Salman,
Raed M. Abendeh
et al.
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“…A series of push-out tests with CFST columns with different concrete infills were reported in the literature [3,5,7,[11][12][13][14][15][16]. Prediction models for the bond capacity of circular and square CFST columns were developed using Artificial Neural Networks (ANN) [17]. Thickness of steel tube, compression strength of concrete, and concrete age was fed as input parameters, and using experimental data from the literature, a prediction model was generated that showed better accuracy.…”
Section: Figure 3 Typical Bond-slip Curve For Push-out Tests On Cfst ...mentioning
confidence: 99%
“…A series of push-out tests with CFST columns with different concrete infills were reported in the literature [3,5,7,[11][12][13][14][15][16]. Prediction models for the bond capacity of circular and square CFST columns were developed using Artificial Neural Networks (ANN) [17]. Thickness of steel tube, compression strength of concrete, and concrete age was fed as input parameters, and using experimental data from the literature, a prediction model was generated that showed better accuracy.…”
Section: Figure 3 Typical Bond-slip Curve For Push-out Tests On Cfst ...mentioning
confidence: 99%