Evidence map›Paper›PMID 41663734›Full record

ArticleScientific reports2026

Effects of steel slag content on the performance of alkali-activated coal gangue-slag mortar.

Tianlai Huang, Qingqing Xie, Jianhua Deng, Bo Shen

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

Tianlai HuangCollege of Civil Engineering, Guizhou University, Guiyang, 550025, China.
Qingqing XieCollege of Civil Engineering, Guizhou University, Guiyang, 550025, China.
Jianhua DengCollege of Civil Engineering, Guizhou University, Guiyang, 550025, China. jhdeng@gzu.edu.cn.
Bo ShenResearch Center of Space Structures, Guizhou University, Guiyang, 550025, China. bshen@gzu.edu.cn.

Funding

Guizhou Provincial Basic Research Program (Natural Science) No. QianKeHeJiChu-ZK[2024]YiBan094)National Natural Science Foundation of China 51068003
6 · The paper itself

Abstract

To address the significant shrinkage issue of alkali-activated materials (AAMs) and to utilize industrial solid waste, this study used steel slag (SS), coal gangue (CG), and ground granulated blast furnace slag (GGBFS) as the raw materials, maintaining the proportion of GGBFS at 50% to guarantee fundamental strength, and substituting a portion of CG with SS to formulate alkali-activated coal gangue-slag mortar (ACGM). Based on existing research, this study examined the mechanical characteristics and desiccation contraction of ACGM with various SS proportions. In addition, microscopic analyses were employed to analyze the impact of SS on the reaction processes and structural evolution of ACGM. The results demonstrated that when 40% SS was added, more gel and ettringite were produced in the system. These products interwove to form a dense microstructure while inhibiting gel deformation, leading to a 41.7% increase in the 28-day compressive strength regarding ACGM. Furthermore, the 28-day drying shrinkage associated with ACGM was reduced by 28.9%. This improvement was attributed to the addition of SS, which slowed the decrease in internal relative humidity. Additionally, the formation of ettringite inhibited matrix deformation and reduced drying shrinkage. However, incorporating 50% SS was found to inhibit both mechanical strength development and drying shrinkage reduction. The utilization of SS in ACGM provided a pathway for large-scale application of SS in AAMs, offering novel insights for mitigating shrinkage in AAMs.

Indexed as

Alkali-activated materialsCoal gangueDrying shrinkageSteel slag

Identifiers

PMID41663734
PMCPMC12957372

What OpenQuestion holds

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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.