Logo do repositório
 
Publicação

Embedded Sensors for Structural Health Monitoring

dc.contributor.authorFerreira, Pedro M.
dc.contributor.authorMachado, Miguel A.
dc.contributor.authorCarvalho, Marta S.
dc.contributor.authorVidal, Catarina
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2022-12-02T22:16:35Z
dc.date.available2022-12-02T22:16:35Z
dc.date.issued2022-10-30
dc.descriptionPublisher Copyright: © 2022 by the authors.
dc.description.abstractSensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide variety of materials’ properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and enabling continuous and permanent measurements of their structural integrity. The integration of ESs is limited to the processing technology used to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the technological process selection is dependent on the base material’s composition, which comprises either metallic or composite parts. The selection of smart sensors or the technology underlying them is fundamental to the monitoring mode. This paper presents a critical review of the fundaments and applications of sensing technologies for SHM systems employing ESs, focusing on their actual developments and innovation, as well as analysing the challenges that these technologies present, in order to build a path that allows for a connected world through distributed measurement systems.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent33
dc.format.extent4864844
dc.identifier.doi10.3390/s22218320
dc.identifier.issn1424-8220
dc.identifier.otherPURE: 47857302
dc.identifier.otherPURE UUID: 71ae99fa-373a-4ea0-abe1-cbb1ebc9559d
dc.identifier.otherScopus: 85141624599
dc.identifier.otherPubMed: 36366018
dc.identifier.otherWOS: 000881574300001
dc.identifier.otherPubMedCentral: PMC9654583
dc.identifier.urihttp://hdl.handle.net/10362/145978
dc.identifier.urlhttps://www.scopus.com/pages/publications/85141624599
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT
dc.relationResearch and Development Unit for Mechanical and Industrial Engineering
dc.relationDesenvolvimento de componentes estruturais inteligentes auto-monitorizados.provisório
dc.subjectembedded sensors
dc.subjectnon-destructive evaluation
dc.subjectsensing technology
dc.subjectsmart materials
dc.subjectstructural health monitoring
dc.subjectAnalytical Chemistry
dc.subjectInformation Systems
dc.subjectBiochemistry
dc.subjectAtomic and Molecular Physics, and Optics
dc.subjectInstrumentation
dc.subjectElectrical and Electronic Engineering
dc.titleEmbedded Sensors for Structural Health Monitoringen
dc.title.subtitleMethodologies and Applications Reviewen
dc.typereview
degois.publication.issue21
degois.publication.titleSensors
degois.publication.volume22
dspace.entity.typePublication
oaire.awardNumberUIDB/00667/2020
oaire.awardNumberUI/BD/151055/2021
oaire.awardTitleResearch and Development Unit for Mechanical and Industrial Engineering
oaire.awardTitleDesenvolvimento de componentes estruturais inteligentes auto-monitorizados.provisório
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//UI%2FBD%2F151055%2F2021/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication1a4033c7-5add-4c00-8393-eb4bed8a7a8e
relation.isProjectOfPublication461105d2-09c2-41e7-94e9-f50029dc9bc3
relation.isProjectOfPublication.latestForDiscovery1a4033c7-5add-4c00-8393-eb4bed8a7a8e

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
Embedded_Sensors_for_Structural_Health_Monitoring_Methodologies_and_Applications_Review.pdf
Tamanho:
4.64 MB
Formato:
Adobe Portable Document Format