Evidence map›Paper›PMID 40572961›Full record

ArticleMaterials (Basel, Switzerland)2025

Effect of Porosity and Pore Size on the Axial Compressive Properties of Recycled Aggregate Concrete.

Chunqi Zhu, Eryu Zhu, Bin Wang, Jiacheng Li, Tong Yao, Zhu Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Chunqi ZhuSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.
Eryu ZhuSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.
Bin WangSchool of Environment and Safety Engineering, North University of China, Taiyuan 030051, China.
Jiacheng LiSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.
Tong YaoSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.
Zhu ZhangSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China.

Funding

National Natural Science Foundation of China 52172335
6 · The paper itself

Abstract

Pores of different sizes and quantities are formed during the molding process of recycled aggregate concrete (RAC). However, few studies have examined the individual and combined effects of porosity and mesoscale pore size (pore size) on the axial compressive mechanical properties of RAC. In this study, the influence of porosity and pore size on the axial compressive mechanical behavior of RAC was examined by incorporating expanded polystyrene (EPS) particles to create prefabrication of pores. Additionally, crack development influenced by pores was analyzed using high-energy X-ray computed tomography (CT). Gray correlation analysis was employed to quantify the influence of pore size and porosity on compressive mechanical parameters. Furthermore, the combined effects of pore characteristics were assessed by introducing damage variables. It was shown that the compressive strength, strength reduction, elastic modulus, and modulus reduction exhibited linear correlations with porosity and exponential correlations with pore size. Cracks within the specimen predominantly propagate through the pores or along their edges. The influence of porosity on both strength and elastic modulus is more substantial than that of pore size. Moreover, the deterioration in mechanical properties is more pronounced when small pore size is coupled with high porosity, compared to the combination of large pore size and low porosity.

Indexed as

damage variablegray correlation analysisinitial poremechanical propertyrecycled aggregate concrete

Identifiers

PMID40572961
PMCPMC12195102

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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.