Evidence map›Paper›PMID 39124369›Full record

ArticleMaterials (Basel, Switzerland)2024

Study on the Effects of Pasture Fiber on Thermal Properties of Slag Bricks.

Zhixin Wu, Long He, Jiarui Hou, Guo Li, Jiale Ma

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. 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

5 authors.

Zhixin WuSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Long HeSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0009-0003-6846-2076
Jiarui HouSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Guo LiSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0009-0000-4840-5515
Jiale MaSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.

Funding

National Natural Science Foundation of China NJYT22077The Basic Research Fund Project for Directly Affiliated Universities in Inner Mongolia Autonomous Region. JY20220058
6 · The paper itself

Abstract

In the context of ecological sustainability, this study focuses on the effect of variables of pasture fibers on the thermal properties of slag bricks made from a green recyclable material. This experiment uses slag as the binder, sand as the aggregate, and pasture fiber as an additive. The experimental variables include the additive content ratio of the pasture fiber, the size of the pasture fiber, and the type of pasture fiber. Significance analysis of the experimental results of the thermal performance tests is carried out using Minitab 18.1.0 software, and the optimal ratios for the thermal performance of the composite samples are derived from the response optimizer and conformity analysis. The results of the experiment's test analysis using Minitab 18 software indicate that, with an increase in pasture fiber content, the thermal performance of the composite samples initially decreases before increasing. Additionally, the lower the thermal conductivity of the composite sample, the lower the apparent density and the higher the porosity. Incorporating pasture fibers into slag bricks, as revealed in this study, reduces the waste of pasture resources in pastoral areas and promotes the development of sustainable building materials with favorable thermal properties.

Indexed as

pasture fiberrecyclable compositeslag bricksthermal properties

Identifiers

PMID39124369
PMCPMC11312977

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.