Experimentally validated numerical investigation on the behavior of composite shear walls subjected to cyclic loading

Due to design considerations, reinforced concrete (RC) shear walls, with narrow cross-sections containing excessive steel reinforcing bars, are commonly used in tall buildings for seismic resistance to produce functional floor plans. However, as is particularly evident in the end region components of the RC shear walls, bulky reinforcement can lead to difficulties in concrete pouring and cause concrete segregation. Accordingly, this study concentrates on the numerical investigation of composite shear wall behavior created using cold-formed steel sheet (CFSS) elements under cyclic loading. Three composite shear wall test specimens, having L-shaped CFSSs utilized in the shear wall end regions, were modeled on a 1/3 scale with ABAQUS finite element analysis software. The specimens’ crack propagation behavior was investigated at each loading stage in the numerical analyses and validated with experiments. Furthermore, the lateral force-top displacement relationship was used to assess the wall’s behaviors. According to the results, the modeling approach accurately simulates the composite shear wall’s behavior. Finally, a parametric analysis was performed with the verified numerical simulations to examine the effect of the CFSS elements’ material properties on the composite shear walls. The parametric studies revealed that the steel sheets’ yield strength and position from the neutral axis affected the shear walls’ lateral load-bearing capacity.

Authors

Institutions

Publication Details

Journal
Engineering Science and Technology an International Journal
Published
2024-11-01
DOI
https://doi.org/10.1016/j.jestch.2024.101884
Citations
2
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimentally validated numerical investigation on the behavior of composite shear walls subjected to cyclic loading

M. Hasim Kısa, S. Bahadır Yüksel, Ramazan Özmen
2 citations
Engineering Science and Technology an International Journal
Structural Behavior of Reinforced Concrete
0.53
article

Experimentally validated numerical investigation on the behavior of composite shear walls subjected to cyclic loading

M. Hasim Kısa, S. Bahadır Yüksel, Ramazan Özmen
article en
2 citations

Abstract

Due to design considerations, reinforced concrete (RC) shear walls, with narrow cross-sections containing excessive steel reinforcing bars, are commonly used in tall buildings for seismic resistance to produce functional floor plans. However, as is particularly evident in the end region components of the RC shear walls, bulky reinforcement can lead to difficulties in concrete pouring and cause concrete segregation. Accordingly, this study concentrates on the numerical investigation of composite shear wall behavior created using cold-formed steel sheet (CFSS) elements under cyclic loading. Three composite shear wall test specimens, having L-shaped CFSSs utilized in the shear wall end regions, were modeled on a 1/3 scale with ABAQUS finite element analysis software. The specimens’ crack propagation behavior was investigated at each loading stage in the numerical analyses and validated with experiments. Furthermore, the lateral force-top displacement relationship was used to assess the wall’s behaviors. According to the results, the modeling approach accurately simulates the composite shear wall’s behavior. Finally, a parametric analysis was performed with the verified numerical simulations to examine the effect of the CFSS elements’ material properties on the composite shear walls. The parametric studies revealed that the steel sheets’ yield strength and position from the neutral axis affected the shear walls’ lateral load-bearing capacity.

Engineering Science and Technology an International JournalVol. 59
Karabük University (TR), Konya Technical University (TR)
Openalex Percentile: Top 33%
Structural Behavior of Reinforced Concrete
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.