Evidence map›Paper›PMID 40942283›Full record

ArticlePolymers2025

Numerical Analysis on Mechanical Properties of Different Fiber-Reinforced Cold-Formed Steel-Concrete Composite Corner Columns.

Mengyao Li, Yi Hu, Lanzhe Rao, Liqiang Jiang, Jingbin Li, Shizhong Zhou, Hongyu Sun, Shi Peng, Xia Pang, Yuanjun Chen and 2 more

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Mengyao LiSchool of Civil Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Yi HuSchool of Civil Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Lanzhe Rao3rd Construction Co., Ltd. of China Construction 5th Engineering Bureau, Changsha 410004, China.
Liqiang JiangSchool of Civil Engineering, Central South University, Changsha 410075, China.ORCID 0000-0003-1996-2026
Jingbin LiChina Railway Urban Construction Group Co., Ltd., Changsha 410036, China.
Shizhong ZhouSchool of Civil Engineering, Central South University, Changsha 410075, China.
Hongyu SunSchool of Civil Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Shi Peng3rd Construction Co., Ltd. of China Construction 5th Engineering Bureau, Changsha 410004, China.
Xia Pang3rd Construction Co., Ltd. of China Construction 5th Engineering Bureau, Changsha 410004, China.
Yuanjun ChenChina Railway Urban Construction Group Co., Ltd., Changsha 410036, China.
Jun HuChina Railway Urban Construction Group Co., Ltd., Changsha 410036, China.
Ping XieChina Railway Urban Construction Group Co., Ltd., Changsha 410036, China.

Funding

Hunan Province Science and Technology Project Huxiang Young Talents Program 2023RC3057National Natural Science Foundation of China 52208224National Natural Science Foundation of China 52378209Sichuan Provincial Engineering and Technology Research Center for Innovative Development of Bamboo Fiber Nutrition PETC202503
6 · The paper itself

Abstract

To overcome brittle failure in conventional cold-formed steel-concrete (CFS-C) corner columns, this paper used fiber-reinforced concrete to replace ordinary concrete, investigating failure mechanisms and performance through systematic numerical simulations. A finite element model (FEM) was established and validated by experiments, and the errors for ultimate capacity were within 10%. A series of numerical models was established for parametric analyses focusing on the effects of the parameters of polypropylene fiber (PF), carbon fiber (CF), steel fiber (SF), and bamboo fiber (BF) with different volume dosages and the thickness of cold-formed steel (CFS) on the axial compression ultimate capacity and corresponding displacement of CFS composite corner columns. The results indicated that (1) PF effectiveness was dependent on steel thickness: thicker steel suppressed micro-defects, activated the toughening potential of PF, and increased the ultimate capacity of the columns by 24.8%. (2) CF had a critical dosage of 0.4%: at this dosage, CF increased the column's ultimate capacity by 14.1% through stress redistribution, while when the dosage exceeded this value, fiber agglomeration caused a reduction in the column's strength, with a maximum decrease of 16.2%. (3) SF effectiveness showed a linear increase: at a dosage of 1.6%, SF formed a synergistic three-dimensional bridging network and generated a confinement effect, increasing the column's ultimate capacity by 36.5% and displacement by 92.2%. (4) BF mainly improved the ductility of columns: through crack bridging and pull-out energy dissipation, BF increased column displacement by 33.2%. (5) The modified Eurocode 4 formula could reduce the calculation error of ultimate capacity from 6.3% to within 1%. The findings guide optimal fiber selection and dosage in practice, promoting such columns' use in seismic and load-bearing structures.

Indexed as

cold-formed steelcomposite corner columnfiber-reinforced concretenumerical analysisultimate capacity calculation

Identifiers

PMID40942283
PMCPMC12431451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.