Evidence map›Paper›PMID 31480408›Full record

ArticleSensors (Basel, Switzerland)2019

An EMI-Based Clustering for Structural Health Monitoring of NSM FRP Strengthening Systems.

Ricardo Perera, Lluis Torres, Antonio Ruiz, Cristina Barris, Marta Baena

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 54 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ricardo PereraDepartment of Mechanical Engineering, Technical University of Madrid, c/ José Gutiérrez Abascal, 2, 28006 Madrid, Spain. ricardo.perera@upm.es.
Lluis TorresAnalysis and Advanced Materials for Structural Design (AMADE), Polytechnic School, University of Girona, Campus Montilivi, 17003 Girona, Spain.ORCID 0000-0002-7884-628X
Antonio RuizDepartment of Geological and Mining Engineering, Technical University of Madrid, c/ Ríos Rosas, 21, 28003 Madrid, Spain.
Cristina BarrisAnalysis and Advanced Materials for Structural Design (AMADE), Polytechnic School, University of Girona, Campus Montilivi, 17003 Girona, Spain.
Marta BaenaAnalysis and Advanced Materials for Structural Design (AMADE), Polytechnic School, University of Girona, Campus Montilivi, 17003 Girona, Spain.
Universitat de Girona · ESUniversidad Politécnica de Madrid · ES

Funding

Ministerio de Ciencia, Innovación y Universidades BIA2017-84975-C2-1-PMinisterio de Ciencia, Innovación y Universidades BIA2017-84975-C2-2-P
6 · The paper itself

Abstract

The use of fiber-reinforced polymers (FRP) in civil construction applications with the near-surface mounted (NSM) method has gained considerable popularity worldwide and can produce confident strengthening and repairing systems for existing concrete structures. By using this technique, the FRP reinforcement is installed into slits cut into the concrete cover using cement mortar or epoxy as bonding materials, yielding an attractive method to strengthen concrete structures as an advantageous alternative to the external bonding of FRP sheets. However, in addition to the two conventional failure modes of concrete beams, sudden and brittle debonding failures are still likely to happen. Due to this, a damage identification technology able to identify anomalies at early stages is needed. In this work, some relevant cluster-based methods and their adaptation to electromechanical impedance (EMI)-based damage detection in NSM-FRP strengthened structures are developed and validated with experimental tests. The performance of the proposed clustering approaches and their evaluation in comparison with the experimental observations have shown a strong potential of these techniques as damage identification methodology in an especially complex problem such as NSM-FRP strengthened concrete structures.

Indexed as

Construction MaterialsCluster AnalysisElectric ImpedancePolymersPolymerselectro-mechanical impedancehierarchical clusteringk-means clusteringNSM-FRP strengtheningPZT sensorsStructural health monitoring

Identifiers

PMID31480408
PMCPMC6749224
OpenAlexW2971023502

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.