Evidence map›Paper›PMID 42882679›Full record

ReviewMaterials (Basel, Switzerland)2026

Volume Stabilization of Steel Slag for Low-Carbon Construction Materials: Mechanisms, Treatment Technologies, and Engineering Application Pathways.

Jiarui Gu, Zinuo Tian, Yujie Shao, Xiaoming Liu, Zengqi Zhang, Yinming Sun

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2026. 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.

Jiarui GuSchool of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Zinuo TianSchool of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Yujie ShaoSchool of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiaoming LiuState Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-1375-5627
Zengqi ZhangState Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-6257-7786
Yinming SunSchool of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

National Natural Science Foundation of China 52478232National Natural Science Foundation of China U23A20557
6 · The paper itself

Abstract

Steel slag (SS), a major industrial solid waste generated during steelmaking, has considerable cementitious potential and high hardness for use in low-carbon construction materials. However, its widespread utilization is limited by poor volume stability arising from the delayed hydration and expansion of free CaO (f-CaO) and free MgO (f-MgO). This review systematically examines the formation mechanisms of these expansive phases and evaluates four stabilization technologies, including surface modification, high-temperature modification, acid treatment, and carbonation, with respect to their reaction mechanisms, technical advantages, limitations, and engineering applicability. The performance of stabilized SS in cementitious matrices and as construction aggregates is also assessed, together with the corresponding application scenarios. Carbonation is a promising route because it can simultaneously reduce reactive expansive phases and mineralize CO

Indexed as

applicationmodification mechanismsteel slagvolume stability

Identifiers

PMID42882679
PMCPMC13666047

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.