Evidence map›Paper›PMID 42654564›Full record

ArticleMaterials (Basel, Switzerland)2026

Stress-State-Dependent Reinforcement of Cement-Stabilized Soil Using Waste Brick Powder and Glass Fiber.

Xiaosan Yin, Md Mashiur Rahman, Jian Wang, Alip Mohammed

Abstract read
In one paragraph

Article 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

4 authors.

Xiaosan YinSchool of Civil Engineering, Zhengzhou University, Zhengzhou 450002, China.ORCID 0009-0005-1393-5547
Md Mashiur RahmanSchool of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou 451191, China.ORCID 0009-0000-2906-5359
Jian WangSchool of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou 451191, China.ORCID 0009-0005-1029-1555
Alip MohammedSchool of Resources and Safety Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

the Graduate Research Innovation Program of Zhongyuan University of Technology (Grant No. YKY2026ZK56).The Key Scientific Research Projects of Colleges and Universities in Henan Province (Grant No. 25A560002)
6 · The paper itself

Abstract

Cement-stabilized soil is widely used for ground improvement but suffers from brittleness and low tensile strength. This study investigates combined modification of cement-stabilized soil with waste brick powder (WBP, 5%) and glass fiber (GF, 0-2.0%) to enhance mechanical performance and microstructural integrity. Unconfined compressive strength (UCS), splitting tensile strength (STS), and qualitative scanning electron microscopy were evaluated at 3, 14, and 28 days. Results reveal stress-state-dependent reinforcement: UCS peaked at 2.0% GF with gains of 18.1%, 7.3%, and 9.1%, while STS maximized at 1.5% GF (43% increase), declining 14.3% at 2.0% due to fiber agglomeration. Post-peak ductility improved markedly, with the residual strength ratio increasing from 12.4% to 43.2% and the ductility index from 1.18 to 1.85. Microstructural analysis suggests that uniform fiber dispersion enables crack bridging and interfacial load transfer, whereas agglomeration creates localized weak zones. Preliminary assessment indicates that WBP substitution may avoid approximately 85 kg CO

Indexed as

cement-stabilized soilglass fibermechanical propertiesmicrostructurestress-state dependencesustainable compositeswaste brick powder

Identifiers

PMID42654564
PMCPMC13514492

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.