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Engineering Structures
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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HIØ Brage
Article . 2024
Data sources: HIØ Brage
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Predicting the shear capacity of composite steel plate shear wall with the application of RSM

Authors: Bypour, Maryam; Yekrangnia, Mohammad; Kioumarsi, Mahdi;

Predicting the shear capacity of composite steel plate shear wall with the application of RSM

Abstract

This research aims to predict the maximum shear capacity of Composite Steel Plate Shear Walls (CSPSWs) through nonlinear Finite Element (NLFE) analyses and Response Surface Method (RSM). The variables are concrete thickness and compressive strength, steel infill plate thickness, and yield stress. A parametric study was performed on CSPSW comprising a concrete layer on one side of the infill plate and the corresponding models having the concrete layer between the two plates. The results show that RSM is a reliable practice for precisely predicting the maximum shear capacity of the studied models. Furthermore, comparing the RSM results with those acquired by Linear Regression (LR) indicated that RSM is more accurate than LR. Moreover, in the models with the internal concrete layer, the concrete contributed more to the shear capacity of the specimens, and this difference expands with an increase in the thickness of the concrete layer.

Country
Norway
Keywords

VDP::Teknologi: 500::Bygningsfag: 530, linear regression, composite steel plate shear wall, response characteristics, finite element analysis, response surface method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
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