Evidence map›Paper›PMID 41238626›Full record

ArticleScientific reports2025

Self-sensing of load and deformation in concrete using intrinsic capacitance and resistance.

Murat Ozturk, Asiye Akis

Abstract read
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
0cells of the map it votes in
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

2 authors.

Murat OzturkDepartment of Civil Engineering, Faculty of Engineering, Smart Materials Laboratory , Bursa Uludag University, Bursa, Turkey. muratozturk@uludag.edu.tr.ORCID http://orcid.org/0000-0003-3389-4883
Asiye AkisDepartment of Civil Engineering, Faculty of Engineering, Smart Materials Laboratory , Bursa Uludag University, Bursa, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the electromechanical behavior and self-sensing performance of plain and reinforced concrete specimens under flexural loading through real-time electrical capacitance and resistance measurements. The primary objective is to assess the feasibility of using these electrical parameters as indicators of stress and deformation without relying on conductive fillers and external or embedded sensors. Concrete and reinforced concrete beams were prepared with standard mix proportions, and electrical measurements were conducted during three-point bending tests using an LCR meter operating at 2 kHz. Experimental results reveal a strong linear correlation between mechanical load and fractional changes in both electrical capacitance and resistance for unreinforced specimens, with R² values of 0.99 and 0.98, respectively. The peak fractional changes in these specimens reached 3.13% and 3.01%, confirming their sensitivity to stress-induced microstructural changes. In reinforced concrete specimens, which exhibited ductile behavior due to steel reinforcement, maximum changes in capacitance and resistance were observed as 8.89% ± 0.13 and 10.62% ± 1.48, respectively. Notably, capacitance demonstrated higher correlation with structural deflection (R² = 0.97 ± 0.02), whereas resistance was more responsive to crack propagation but exhibited greater signal fluctuation. These findings establish capacitance as a stable indicator for elastic deformation and resistance as a damage-sensitive signal. The proposed method enables continuous, non-destructive damage detection and deformation tracking in both plain and reinforced concrete, making it suitable for integration into future innovative infrastructure systems.

Indexed as

CapacitanceConcreteReinforced concreteResistanceSelf-sensing

Identifiers

PMID41238626
PMCPMC12618678

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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.