Evidence map›Paper›PMID 42045257›Full record

ArticleScientific reports2026

Study on the bonding performance and micromechanism between alkali-activated mortar and rock.

Tianzuo Wang, Xuan Xu, Fei Xue, Xin Zhang, Peifeng Cheng, Huijun Kang

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. 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.

Tianzuo WangState Key Laboratory of Intelligent Deep Metal Mining and Equipment, Shaoxing University, Shaoxing, 312000, China.
Xuan XuState Key Laboratory of Intelligent Deep Metal Mining and Equipment, Shaoxing University, Shaoxing, 312000, China.
Fei XueState Key Laboratory of Intelligent Deep Metal Mining and Equipment, Shaoxing University, Shaoxing, 312000, China. kdckxf@126.com.
Xin ZhangHuahui Engineering Design Group Co., Ltd, Shaoxing, 312000, China.
Peifeng ChengSchool of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China.
Huijun KangState Key Laboratory of Intelligent Deep Metal Mining and Equipment, Shaoxing University, Shaoxing, 312000, China.

Funding

National Natural Science Foundation of China 52104094National Post-Doctor Regulatory Commission 333795
6 · The paper itself

Abstract

Alkali-activated mortar (AAM) has emerged as a sustainable alternative to ordinary Portland cement (OPC) for rock-based applications, yet its bonding behavior with rock remains underexplored. This study investigates the interfacial performance between AAM and sandstone through orthogonal experiments, Brazilian splitting tests, and microstructural analyses (SEM-EDS, XRD). Results show that binder formulation and mortar composition significantly affect bond strength: slag content dominates early-age bonding, while the binder-to-sand ratio controls long-term strength. The optimal mixture (80% slag, water-to-binder ratio 0.35, binder-to-sand ratio 1.5) achieved a 28-day bond strength of 2.67 MPa, surpassing the sandstone’s tensile strength (2.42 MPa). Failure mode shifted from interfacial debonding to cohesive fracture within sandstone, accompanied by a wider interfacial transition zone (ITZ), indicating enhanced physicochemical integration. These findings improve the scientific understanding of the bonding mechanism between AAM and rock and may provide useful implications for rock engineering applications.

Indexed as

Alkali-activated mortarBonding propertiesFailure modeInterfacial transition zoneOrthogonal experiment

Identifiers

PMID42045257
PMCPMC13287624

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.