Evidence map›Paper›PMID 41228627›Full record

ArticlePolymers2025

Bond Properties Between Bimetallic Steel Bar and Polyoxymethylene Fiber-Reinforced Seawater Sea-Sand Concrete.

Fei Wang, Xuanyi Xue, Neng Wang, Shuai Li, Zhengtao Yang, Yuruo Chang

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. 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

6 authors.

Fei WangSchool of Civil Engineering, Chongqing University, Chongqing 400045, China.
Xuanyi XueSchool of Civil Engineering, Chongqing University, Chongqing 400045, China.ORCID 0000-0003-0746-1937
Neng WangSchool of Management Science and Real Estate, Chongqing University, Chongqing 400045, China.
Shuai LiDepartment of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.
Zhengtao YangSchool of Civil Engineering, Chongqing University, Chongqing 400045, China.
Yuruo ChangSchool of Management Science and Real Estate, Chongqing University, Chongqing 400045, China.

Funding

National Key R&D Program of China 2024YFB3714804
6 · The paper itself

Abstract

With the development of infrastructure construction, seawater sea-sand concrete (SWSSC) is expected to solve the shortage of freshwater and river sand. Polyoxymethylene (POM) fiber, owing to its excellent corrosion resistance, provides a novel approach to enhancing the bond performance of SWSSC. This study systematic study of the bond properties of bimetallic steel bars (BSBs) in POM fiber-reinforced SWSSC and develops a predictive model. Mechanical property tests of SWSSC and pull-out tests of BSB and SWSSC were conducted with various POM fiber contents. The results showed that the optimal volume fraction of POM fibers was 0.6%. At this fraction, the compressive strength and splitting tensile strength of SWSSC were improved by 17.7% and 20.3%, respectively, compared with the group without fibers. All pull-out specimens experienced splitting failure. The bond strength increased monotonically with the increase in relative cover thickness and exhibited a trend of first increasing and then stabilizing with rising POM fiber volume fraction. In addition, a bond stress-slip prediction model between BSBs and POM fiber-reinforced SWSSC was established based on the test results, which can provide theoretical support for the numerical simulation and design of BSB-SWSSC structures.

Indexed as

bimetallic steel barbond propertiesconstitutive modelfiber-reinforced concretepolyoxymethylene fiber

Identifiers

PMID41228627
PMCPMC12609999

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Registered trials

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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.