Evidence map›Paper›PMID 41976726›Full record

ArticleMaterials (Basel, Switzerland)2026

Optimizing the Composition of Solid Sodium Silicate-Activated Solid Waste-Based Geopolymer Based on the Response Surface Methodology and Its Performance.

Huiyong Zhou, Yanchao Wang, Hua Gao, Wei Guo, Taotao Fan, Chundi Si, Xibao Ma

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

7 authors.

Huiyong ZhouHebei Shi-Tai Expressway Development Co., Ltd., Shijiazhuang 050299, China.
Yanchao WangHebei Shi-Tai Expressway Development Co., Ltd., Shijiazhuang 050299, China.
Hua GaoHebei Shi-Tai Expressway Development Co., Ltd., Shijiazhuang 050299, China.
Wei GuoSchool of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Taotao FanSchool of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Chundi SiSchool of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Xibao MaSchool of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.

Funding

the Hebei Provincial Department of Transportation Science and Technology Program Project ST-202414the National Science Foundation of China 52378455the Science and Technology Project of the Hebei Education Department QN2023178
6 · The paper itself

Abstract

Alkali-activated solid waste-based geopolymer represents a novel form of inorganic cementitious material, which is one of the key research directions in the building materials field to achieve the targets of carbon peak and carbon neutrality. Therefore, taking solid waste materials as raw materials to prepare the alkali-activated solid waste-based geopolymers with better mechanical properties is of significant importance for expanding the utilization channels of industrial solid waste materials in Hebei Province. In this study, three solid waste materials, slag, iron tailings sand and coal gangue powder, were used as the precursors of geopolymer, and solid sodium silicate was used as the activator to prepare the solid waste-based geopolymer. Response surface methodology was adopted to design the composition of the geopolymer, and the dosages of slag, Na

Indexed as

alkali-activated geopolymerscomposition optimizationindustrial solid wastesmechanical propertiesreaction mechanismresponse surface methodologysolid sodium silicate

Identifiers

PMID41976726
PMCPMC13075152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.