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Flexural Strength Prediction of Welded Flange Plate Connections Based on Slenderness Ratios of Beam Elements Using ANN
Joint Authors
Hedayat, Amir A.
Jazebi, Ehsan
AsadAbadi, Saman
Iranpour, Amin
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-29
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The present study was aimed to investigate the strength and ductility of welded flange plate (WFP) connections.
Using the FE method, 52 WFP connections with different beam overall depths and beam flanges/web slenderness ratios were analyzed.
Fragility curves indicated that, for a WFP connection which is designed based on the seismic codes, its strength is of more concern than its ductility.
In addition, limiting the width-to-thickness ratios of the beam flanges and web plates to 0.3E/fy and 2.45E/fy, respectively, may not always lead to the achievement of adequate connection’s strength and ductility.
Proposed theoretical formulas and artificial neural network- (ANN-) based models developed in this study were able to adequately predict the connection strength.
American Psychological Association (APA)
Hedayat, Amir A.& Jazebi, Ehsan& AsadAbadi, Saman& Iranpour, Amin. 2018. Flexural Strength Prediction of Welded Flange Plate Connections Based on Slenderness Ratios of Beam Elements Using ANN. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1116668
Modern Language Association (MLA)
Hedayat, Amir A.…[et al.]. Flexural Strength Prediction of Welded Flange Plate Connections Based on Slenderness Ratios of Beam Elements Using ANN. Advances in Civil Engineering No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1116668
American Medical Association (AMA)
Hedayat, Amir A.& Jazebi, Ehsan& AsadAbadi, Saman& Iranpour, Amin. Flexural Strength Prediction of Welded Flange Plate Connections Based on Slenderness Ratios of Beam Elements Using ANN. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1116668
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116668