Evidence map›Paper›PMID 42354361›Full record

ArticleGels (Basel, Switzerland)2026

GWO-Optimized BPNN for Abrasion Resistance Prediction of Nano-SiO

Jiawei Han, Peng Zhang, Xiaobing Dai, Canhua Lai

Abstract read
In one paragraph

Article in Gels (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.

Jiawei HanSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Peng ZhangSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-2787-3357
Xiaobing DaiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Canhua LaiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.ORCID 0009-0006-0195-1395

Funding

Program for Leading Talents in Central Plains Science and Technology Innovation 254200510027
6 · The paper itself

Abstract

Geopolymer gel concrete (GPC) is a kind of environmentally friendly concrete, which has become a potential alternative material to replace ordinary concrete. Traditional mix design of GPC is carried out under experimental conditions, which is time-consuming and labor-intensive. Geopolymer concrete (GPC) is intended for use in hydraulic structures, which are often exposed to water environments. Water flow exerts significant abrasion and erosion on these structures. If the abrasion resistance (AR) of the material is poor, the service life and service quality of hydraulic structures will be substantially reduced under the action of water flow. Therefore, AR is a key performance indicator for GPC in hydraulic engineering applications. This abrasion resistance can be enhanced by using fibers (for example, steel fibers, polyvinyl alcohol (PVA) fibers, and basalt fibers) and nanomaterials. Furthermore, there is a complex nonlinear relationship between the proportions of fibers and nanoparticles added and the properties of GPC. In this study, the circular ring test method and the underwater steel ball test method were conducted to investigate the AR of nano-SiO

Indexed as

abrasion rateabrasion resistance strengthgray wolf algorithmmix designnano-SiO2steel-PVA hybrid fiber

Identifiers

PMID42354361
PMCPMC13298210

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.