Evidence map›Paper›PMID 38204048›Full record

ArticleMaterials (Basel, Switzerland)2023

Research on Compressive Strength of Manufactured Sand Concrete Based on Response Surface Methodology.

Kang Gao, Zhenjiao Sun, Hui Ma, Guanguo Ma

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In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kang GaoCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Zhenjiao SunCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0001-7068-7846
Hui MaSchool of Safety and Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Guanguo MaCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

China National Scholarship Fund 202208370124National Natural Science Foundation of China 52304237Provincial Natural Science Foundation of Shandong ZR2022QE177
6 · The paper itself

Abstract

Due to the impact of economic and social development on the environment, there is an increasing demand for manufactured sand to replace natural sand as fine aggregate for concrete. At the same time, the effect of admixtures on the rheological properties and compressive strength of concrete is crucial in civil engineering applications. In this study, with the Box-Behnken test model, we analyzed and investigated the impact of a composite admixture of stone powder (SP), pulverized fuel ash (PFA), and silicon fume (SF) on the compressive strength of siliceous manufactured sand concrete using response surface methodology (RSM). At the same time, the rheological properties of the siliceous artificial sand and river sand concrete were analyzed. The prediction of the compressive strength of siliceous artificial sand concrete was developed using multiple regression analysis, the factors of which were SP, PFA, and SF content, and the response value was compressive strength. Furthermore, response surface and contour lines were used to analyze the impact of composite admixtures. It is shown that the compounding of SP, PFA, and SF improve the rheological properties of manufactured sand concrete. For the single factor, SP has the greatest effect on the compressive strength of mechanism sand concrete and SF has the least effect. For compounding, SP and PFA have the most significant effect on the compressive strength of artificial sand shotcrete, and the compounding of PFA and SF have the least effect.

Indexed as

composite admixturescompressive strengthresponse surface method (RSM)siliceous sand concrete

Identifiers

PMID38204048
PMCPMC10779500

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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.