Evidence map›Paper›PMID 40594153›Full record

ArticleScientific reports2025

Measurement of the Poisson expansion effect on crack openings in self-sensing concrete.

Xueying Wang, Lee Scott Cunningham, Michele Win Tai Mak, Janet Lees, Abir Al-Tabbaa, Stuart Kenneth Haigh

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In one paragraph

Article in Scientific reports, 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
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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

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

6 authors.

Xueying WangDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK. xueying.wang@manchester.ac.uk.
Lee Scott CunninghamDepartment of Civil Engineering and Management, University of Manchester, Manchester, M13 9PL, UK.
Michele Win Tai MakDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Janet LeesDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Abir Al-TabbaaDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Stuart Kenneth HaighDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.

Funding

Engineering and Physical Sciences Research Council EP/S02302X/1
6 · The paper itself

Abstract

Concrete infrastructure tends to degrade with extended service life, but detecting deterioration with conventional inspection methods can be challenging. Existing approaches such as developing self-sensing concrete by adding electrically conductive fillers to the cement matrix often suffer from high costs and complex manufacturing processes for casting the concrete from fresh. This study looks beyond the commonly discussed resistance-based and capacitance-based self-sensing mechanisms in the elastic deformation regime of the concrete and investigates the changes in electrical conductivity due to micro-crack opening through Poisson expansion by utilising the measurement technique of drilling the concrete to insert conductive epoxy for electrode embedment to achieve intrinsic self-sensing on as-built regular concrete (i.e. without conductive fillers). Experimental results on existing plain concrete samples showed a good correlation between the compressive load and the fractional change in resistivity (FCR). Finite element analysis (FEA) was then used to further investigate the effect of changes in conductivity in the direction of loading and orthogonal directions on the measured electrical behaviour of the concrete. Results showed that the correlation between the FCR and the compressive load depends on the relationship between the load-parallel and -orthogonal gauge factors. Beyond a threshold level, the electrical signal picked up by the electrodes reflects the material's behaviour in the direction orthogonal to the loading direction due to Poisson expansion. Further numerical simulation has suggested that to achieve a stable measurement, the electrodes' penetration should equal the spacing.

Indexed as

DegradationFinite element modellingInfrastructure managementMeasurement techniqueNon-destructive testingStructural health monitoring

Identifiers

PMID40594153
PMCPMC12214844

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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.