Evidence map›Paper›PMID 39460205›Full record

ArticleSensors (Basel, Switzerland)2024

Inductive Frequency-Coded Sensor for Non-Destructive Structural Strain Monitoring of Composite Materials.

Angelica Masi, Martina Falchi, Danilo Brizi, Eliana Canicattì, Guido Nenna, Agostino Monorchio

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

6 authors.

Angelica MasiDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-7132-7081
Martina FalchiDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0003-1612-6970
Danilo BriziDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-0286-8300
Eliana CanicattìFree Space s.r.l., 56121 Pisa, Italy.
Guido NennaConsorzio Nazionle Interuniversitario per le Telecomunicazioni (CNIT), 43124 Parma, Italy.
Agostino MonorchioDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-6063-4310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural composite materials have gained significant appeal because of their ability to be customized for specific mechanical qualities for various applications, including avionics, wind turbines, transportation, and medical equipment. Therefore, there is a growing demand for effective and non-invasive structural health monitoring (SHM) devices to supervise the integrity of materials. This work introduces a novel sensor design, consisting of three spiral resonators optimized to operate at distinct frequencies and excited by a feeding strip line, capable of performing non-destructive structural strain monitoring via frequency coding. The initial discussion focuses on the analytical modeling of the sensor, which is based on a circuital approach. A numerical test case is developed to operate across the frequency range of 100 to 400 MHz, selected to achieve a balance between penetration depth and the sensitivity of the system. The encouraging findings from electromagnetic full-wave simulations have been confirmed by experimental measurements conducted on printed circuit board (PCB) prototypes embedded in a fiberglass-based composite sample. The sensor shows exceptional sensitivity and cost-effectiveness, and may be easily integrated into composite layers due to its minimal cabling requirements and extremely small profile. The particular frequency-coded configuration enables the suggested sensor to accurately detect and distinguish various structural deformations based on their severity and location.

Indexed as

composite materialsdeformationradiofrequencysensorsspatial localizationstructural health monitoring

Identifiers

PMID39460205
PMCPMC11510848

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.