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

Advances in Civil Engineering

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

Civil Engineering

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