Evidence map›Paper›PMID 41102223›Full record

ArticleScientific reports2025

Preparation and application conductive concrete from iron tailings to the teaching reform in engineering materials courses.

Ping Jiang, Xingchen Hu, Wei Wang, Lei Shi, Yanfei Yu, Na Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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.

Ping JiangShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China.
Xingchen HuShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China.
Wei WangShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China.
Lei ShiShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China.
Yanfei YuShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China. yuyanfei@usx.edu.cn.
Na LiShaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing, 312000, China. lina@usx.edu.cn.

Funding

College Virtual Simulation Experiment Project of Zhejiang Province [2021]7-442First-class College Course of Zhejiang Province [2020]77-341First-class College Course of Zhejiang Province [2022]3-652
6 · The paper itself

Abstract

The conversion of iron tailings, a mining solid waste, into conductive concrete aligns with green engineering and supports the development of intelligent construction materials. This study employed a four-factor, four-level orthogonal test to investigate the effects of water-binder ratio, silica fume content, sand-binder ratio, and carbon fiber content on the density, compressive strength, and resistivity of carbon fiber-reinforced iron tailings conductive concrete (CF-ITCC). It is found that the compressive strength of CF-ITCC is linearly positively correlated with the density, and the correlation coefficient is 0.87. When the density ≥ 2300 kg/m

Indexed as

Compressive strengthEngineering materials experimentIron tailings conductive concreteResistivityTeaching reform

Identifiers

PMID41102223
PMCPMC12532791

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.