Evidence map›Paper›PMID 39913387›Full record

ArticlePloS one2025

Insight into the mechanical properties and the sustainable application of recycled permeable concrete: Green low-carbon concrete technology.

Shaojian Xia, Lei Peng, Wu Zhang, Hongliang Zhu, Jing Li

Abstract read
In one paragraph

Article in PloS one, 2025. 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.

Shaojian XiaChina Railway Seventh Group Co., Ltd., Zhengzhou, China.
Lei PengChina Railway Seventh Group Co., Ltd., Zhengzhou, China.
Wu ZhangChina Railway Seventh Group Co., Ltd., Zhengzhou, China.
Hongliang ZhuChina Railway Seventh Group Co., Ltd., Zhengzhou, China.
Jing LiSchool of Architectural Engineering, Guangzhou Vocational University of Science and Technology, Guangzhou, China.ORCID 0009-0005-2627-2498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance optimization of reclaimed permeable concrete helps to reduce the energy consumption of building materials preparation and promotes green and sustainable development. To further adjust the ratio of reclaimed permeable concrete and optimize the mechanical properties of reclaimed permeable concrete, the influence of aggregate particle size distribution on the mechanical properties of reclaimed permeable concrete is analyzed. In the analysis of the effect of particle size distribution on the mechanical properties of recycled aggregate permeable concrete, the design experiment was examined. The experiment showed that when the water-cement ratio was 0.28/0.30/0.32 and the porosity was 10%, the increase in permeability coefficient was 28.1%/50.9%/29.0%. When the recycled permeable concrete had a water-cement ratio of 0.30 and a particle grading of 8:2 at a target porosity of 10%, the average permeability coefficient was the lowest, only 1.23mm/s. The circulating permeable concrete of the study design met the requirement of the permeability coefficient under the CJJ/T1352009 standard, which was not less than 1 mm/s. The extant research on the influence of aggregate grading and other parameters on the performance of recycled permeable concrete indicates that the ratio of recycled aggregate permeable concrete can be optimized. Furthermore, the customization of concrete ratio according to the needs of different buildings can effectively reduce the manufacturing cost of building materials.

Indexed as

CarbonConstruction MaterialsRecyclingGreen Chemistry TechnologyParticle SizePermeabilityPorosityCarbon

Identifiers

PMID39913387
PMCPMC11801643

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.