Experimental Test, Analysis, and Design of High-Strength SC Walls Subjected to Axial Compression

The current AISC specification (AISC 360-22) does not permit using high-strength materials in steel plate-concrete composite (SC) walls due to limited research. This paper uses three steps to address this. In the first step, experimental tests on 13 high-strength SC walls are conducted. The test parameters are stud spacing, thickness of steel plate, yield stress of steel, and compressive strength of concrete. Results from the tests indicate that the axial compressive strength of SC walls increases when the material strength increases or when the slenderness ratio (i.e., ratio of the stud spacing to the thickness of steel faceplate) decreases. In the second step, finite element (FE) models are developed and benchmarked. Parametric studies are then conducted to further validate the findings from the tests and to develop effective stress–strain relationships for the steel faceplate. The resulting effective stress–strain relationship can be used in fiber-based analysis programs for better accuracy, since it implicitly accounts for the influence of local buckling and yielding. Finally, the effective stress–strain relationship is used to revise the equation in AISC 360-22. The accuracy of the revised equation is verified using results from both the experimental tests and FE parametric studies.

Authors

Institutions

Publication Details

Journal
Journal of Structural Engineering
Published
2025-02-05
DOI
https://doi.org/10.1061/jsendh.steng-14108
Citations
2
Primary Topic
Structural Load-Bearing Analysis
Type
article
Field-Weighted Citation Impact
1.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Test, Analysis, and Design of High-Strength SC Walls Subjected to Axial Compression

Zhichao Lai, Yuzhi Shi, Pengyu Yao, Jun‐tao Guo
2 citations
Journal of Structural Engineering
Structural Load-Bearing Analysis
1.91
article

Experimental Test, Analysis, and Design of High-Strength SC Walls Subjected to Axial Compression

Zhichao Lai, Yuzhi Shi, Pengyu Yao, Jun‐tao Guo
article en
2 citations

Abstract

The current AISC specification (AISC 360-22) does not permit using high-strength materials in steel plate-concrete composite (SC) walls due to limited research. This paper uses three steps to address this. In the first step, experimental tests on 13 high-strength SC walls are conducted. The test parameters are stud spacing, thickness of steel plate, yield stress of steel, and compressive strength of concrete. Results from the tests indicate that the axial compressive strength of SC walls increases when the material strength increases or when the slenderness ratio (i.e., ratio of the stud spacing to the thickness of steel faceplate) decreases. In the second step, finite element (FE) models are developed and benchmarked. Parametric studies are then conducted to further validate the findings from the tests and to develop effective stress–strain relationships for the steel faceplate. The resulting effective stress–strain relationship can be used in fiber-based analysis programs for better accuracy, since it implicitly accounts for the influence of local buckling and yielding. Finally, the effective stress–strain relationship is used to revise the equation in AISC 360-22. The accuracy of the revised equation is verified using results from both the experimental tests and FE parametric studies.

Journal of Structural EngineeringVol. 151(4)
Fuzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 18%
Structural Load-Bearing Analysis
1.91
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.