Evidence map›Paper›PMID 36143504›Full record

ArticleMaterials (Basel, Switzerland)2022

Durability of Nano-Reinforced Recycled Aggregate Concrete under Load and Chloride Ingress.

Yongdong Yan, Youdong Si, Yulong Zheng, Xin Wang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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.

Yongdong YanFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
Youdong SiFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
Yulong ZhengFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
Xin WangFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.

Funding

Graduate Research Innovation Program of Jiangsu University SJCX21_1689National Natural Science Foundation of China 51608233National Natural Science Foundation of China 51878319National Natural Science Foundation of China 52108147Senior Talent Foundation of Jiangsu University 20JDG19
6 · The paper itself

Abstract

The improved performance of recycled aggregate has an important impact on its use in engineering. In this study, to improve the weak surface properties, recycled aggregates were treated by nano-silica slurry and applied to concrete beam specimens. Under the action of cracks caused by continuous load and drying-wetting cycles with chloride ingress, the effects of different recycled aggregate additions, nano-silica contents and crack widths on the self-healing performance of cracks and the resistance to chloride ingress of the recycled concrete beams were investigated. It was found that the self-healing rate of cracks increased first and then decreased with increased nano-silica content, reaching a maximum when the content reached 0.4%. Greater amounts of additive in the recycled aggregate increased the concentration of free chloride ions in cracks. However, this concentration was found to be weakened in nano-reinforced aggregate. From a comprehensive perspective, the relative chloride ion concentration can be effectively reduced by controlling the crack width to be smaller than 0.12 mm and using improved recycled aggregates treated with 0.2% nano-silica material. This study provides a reference for the application of recycled aggregate concrete under severe environmental and load conditions.

Indexed as

bending loadchloride ionconcrete durabilityrecycled aggregate concretesteel corrosion

Identifiers

PMID36143504
PMCPMC9502395

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.