Evidence map›Paper›PMID 39859771›Full record

ArticleMaterials (Basel, Switzerland)2025

Theoretical Research on the Axial Compression Capacity of Reinforced Concrete Mid-Long Columns Reinforced with Ultra-High-Performance Concrete.

Xiaolong Tong, Zhengwu Liao, Wei Liu, Huajing Guo, Jianliang Wu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xiaolong TongSchool of Civil and Architectural Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China.
Zhengwu LiaoSchool of Civil and Architectural Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China.
Wei LiuSchool of Civil and Architectural Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China.
Huajing GuoSchool of Civil and Architectural Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China.
Jianliang WuSchool of Civil and Architectural Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China.

Funding

Education Department of Hunan Province 24B0616Hunan Provincial Natural Science Foundation of China 2023JJ50281Hunan Provincial Water Conservancy Science and Technology Project of China XSKJ2023059-34the National Natural Science Foundation of China 52478312
6 · The paper itself

Abstract

Ultra-high-performance concrete (UHPC) is a cement-based composite material characterised by exceptional strength, low porosity and high durability, making it highly promising for reinforcement engineering. Based on the theory of tangential modulus, a calculation method has been developed for the axial compression capacity of reinforced concrete (RC) medium and long columns strengthened with UHPC, using the constitutive relation of materials and internal and external force balance conditions. This study analysed the influence of UHPC reinforcement layer thickness, reinforced layer, reinforcement ratio, column slenderness ratio and initial load level of core columns on the bearing capacity of reinforced columns. The results indicated that the bearing capacity of the mid-long columns increases with the thickness of the UHPC reinforcement layer and its reinforcement ratio. In addition, the bearing capacity decreases with the increase in the column slenderness ratio and initial load level of the core column.

Indexed as

axial compression capacityRC medium–long columntangent modulus theoryUHPC hardeningultra-high-performance concrete (UHPC)

Identifiers

PMID39859771
PMCPMC11766576

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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.