Evidence map›Paper›PMID 42795198›Full record

ArticleMaterials (Basel, Switzerland)2026

Comparative Strength Development and Microstructural Characteristics of Individual Industrial Solid Waste Systems Treated with Sodium Silicate.

Zhifeng Ren, Jiajie Tong, Xiang Mao, Jianhong Fang, Long Han, Yifan Xiang

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
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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.

Zhifeng RenCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325035, China.
Jiajie TongCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325035, China.
Xiang MaoSchool of Civil Engineering, Sun Yat-Sen University, Zhuhai 519082, China.ORCID 0000-0001-8688-2670
Jianhong FangQinghai Research Institute of Transportation, Xining 810003, China.
Long HanQinghai Provincial Highway Bureau, Xining 810008, China.
Yifan XiangZhejiang Xingchuang Environmental Protection Group Co., Ltd., Wenzhou 325035, China.

Funding

National Natural Science Foundation of China 42571156Science and Technology Department of Qinghai Province No. JG2026-39Wenzhou University of Technology ky202503
6 · The paper itself

Abstract

Bulk industrial solid wastes are promising materials for clay stabilization, but the independent performance of different waste types under identical conditions remains insufficiently understood. In this study, fly ash (FA), coal gangue (CG), and ground-granulated blast-furnace slag (GGBS) were independently incorporated into a low-liquid-limit clay matrix treated with sodium silicate. Waste dosages of 10%, 15%, and 20% and curing ages of 3, 7, and 28 days were investigated using unconfined compressive strength (UCS) tests. Representative 28-day specimens were further examined by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The three systems exhibited distinct dosage- and age-dependent UCS responses, and strength did not increase monotonically with waste dosage. At 15% dosage, the 28-day UCS values of the FA, CG, and GGBS systems were 0.26, 0.26, and 0.29 MPa, respectively. XRD showed broadly similar crystalline phase assemblages, while SEM revealed differences in particle morphology and local surface deposits. The results provide a controlled comparison of the independent performance of FA, CG, and GGBS in clay stabilization under the investigated conditions.

Indexed as

crystalline phase compositionindividual industrial solid wastesmicrostructuresodium silicateunconfined compressive strength

Identifiers

PMID42795198
PMCPMC13608702

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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.