Evidence map›Paper›PMID 41970880›Full record

ArticleACS omega2026

Predicting Compressive Strength of Foamed Concrete Based on Anisotropy of the Pore Structure with the Influence of Pore Size and Shape Using X‑ray Computed Tomography.

Yanru Chen, Changyi Tang, Mingkai Cui, Long Sun, Ming Liu, Guoxing Sun

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

6 authors.

Yanru ChenInstitute of Applied Physics and Materials Engineering, University of Macau, Macau SAR 999078, P.R. China.
Changyi TangZhuhai Institute of Urban Planning & Design, Zhuhai, Guangdong 519000, P.R. China.
Mingkai CuiGuangdong Huazheng Construction Co., Ltd., Zhuhai, Guangdong 519000, P.R. China.
Long SunCCCC Third Harbour Consultants Macau Co., Ltd., Macau SAR 999078, P.R. China.
Ming LiuFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, P.R. China.ORCID https://orcid.org/0000-0001-9987-9729
Guoxing SunInstitute of Applied Physics and Materials Engineering, University of Macau, Macau SAR 999078, P.R. China.ORCID https://orcid.org/0000-0002-3866-078X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to reveal the anisotropy of the pore structure and predict the compressive strength of foamed concrete based on its pore characteristics, X-ray computed tomography was used to characterize the pore structure. Empirical models were modified to correlate pore structure with compressive strength considering the anisotropy of the pore structure, pore size, and shape, based on the pore structure in the compression direction rather than the overall pore structure. For the first time, the compressive strength of foamed concrete was related to cross-sectional porosity, average pore diameter, and circularity in the compression direction. The pore size and shape were considered in modified models through a newly proposed pore size factor and pore shape factor, respectively. The modified Balshin model was found to be the most suitable for predicting the compressive strength of foamed concrete based on the anisotropy of the pore structure, along with the influence of the pore size and shape.

Identifiers

PMID41970880
PMCPMC13063038

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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.