Failure analysis and damage characterization of steel fiber reinforced manufactured sand concrete column under axial compression

Abstract Manufactured sand (MS) is a beneficial and sustainable supplement to natural sand (NS). This study investigated the mechanical properties of manufactured sand concrete (MSC) columns under axial compression. The effects of test parameters including MS replacement rate, reinforcement ratio, slenderness ratio, and steel fiber content on the failure modes, concrete strain, stiffness, and flexibility, etc., were analyzed and demonstrated. The results showed that the MS replacement rate and reinforcement rate presented less effect on the concrete strain, whereas decreasing the slenderness ratio of the specimens and increasing the steel fiber contents significantly increased the strain of the concrete. The 100% MS replacement rate exhibited little effect on the strain of concrete and the stiffness of members, while the bearing capacity was increased to 9.3% compared with the 0% MS replacement rate. Incorporating steel fibers significantly improved MSC's mechanical properties and increased the members' strength and flexibility. In addition, the constitutive model of MSC was established, and the model's accuracy was verified based on finite element analysis, which exhibited favorable accuracy with an error of less than 5%.

Authors

Institutions

Publication Details

Journal
Structural Concrete
Published
2025-04-07
DOI
https://doi.org/10.1002/suco.70081
Citations
2
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
1.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Failure analysis and damage characterization of steel fiber reinforced manufactured sand concrete column under axial compression

Yubo Jiao, Hua Yang, Lijun Xu, Qifan Wu et al.
2 citations
Structural Concrete
Innovative concrete reinforcement materials
1.91
article

Failure analysis and damage characterization of steel fiber reinforced manufactured sand concrete column under axial compression

Yubo Jiao, Hua Yang, Lijun Xu, Qifan Wu, Yaojia Chen
article en
2 citations

Abstract

Abstract Manufactured sand (MS) is a beneficial and sustainable supplement to natural sand (NS). This study investigated the mechanical properties of manufactured sand concrete (MSC) columns under axial compression. The effects of test parameters including MS replacement rate, reinforcement ratio, slenderness ratio, and steel fiber content on the failure modes, concrete strain, stiffness, and flexibility, etc., were analyzed and demonstrated. The results showed that the MS replacement rate and reinforcement rate presented less effect on the concrete strain, whereas decreasing the slenderness ratio of the specimens and increasing the steel fiber contents significantly increased the strain of the concrete. The 100% MS replacement rate exhibited little effect on the strain of concrete and the stiffness of members, while the bearing capacity was increased to 9.3% compared with the 0% MS replacement rate. Incorporating steel fibers significantly improved MSC's mechanical properties and increased the members' strength and flexibility. In addition, the constitutive model of MSC was established, and the model's accuracy was verified based on finite element analysis, which exhibited favorable accuracy with an error of less than 5%.

Structural ConcreteVol. 26(5)
Beijing University of Technology (CN)
U.S. Department of Transportation, National Natural Science Foundation of China
Openalex Percentile: Top 16%
Innovative concrete reinforcement materials
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.