An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/58667 |
Resumo: | In the last decades, the field of structural health monitoring (SHM) has grown exponentially. Yet, several technical constraints persist, which are preventing full realization of its potential. To upgrade current state-of-the-art technologies, researchers have started to look at nature’s creations giving rise to a new field called ‘biomimetics’, which operates across the border between living and non-living systems. The highly optimised and time-tested performance of biological assemblies keeps on inspiring the development of bio-inspired artificial counterparts that can potentially outperform conventional systems. After a critical appraisal on the current status of SHM, this paper presents a review of selected works related to neural, cochlea and immune-inspired algorithms implemented in the field of SHM, including a brief survey of the advancements of bio-inspired sensor technology for the purpose of SHM. In parallel to this engineering progress, a more in-depth understanding of the most suitable biological patterns to be transferred into multimodal SHM systems is fundamental to foster new scientific breakthroughs. Hence, grounded in the dissection of three selected human biological systems, a framework for new bio-inspired sensing paradigms aimed at guiding the identification of tailored attributes to transplant from nature to SHM is outlined. |
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An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigmsStructural health monitoringnature-inspired sensing paradigmsbio-inspired algorithmsbio-inspired SHM sensorsBiomimicrySHMEngenharia e Tecnologia::Engenharia CivilScience & TechnologyIn the last decades, the field of structural health monitoring (SHM) has grown exponentially. Yet, several technical constraints persist, which are preventing full realization of its potential. To upgrade current state-of-the-art technologies, researchers have started to look at nature’s creations giving rise to a new field called ‘biomimetics’, which operates across the border between living and non-living systems. The highly optimised and time-tested performance of biological assemblies keeps on inspiring the development of bio-inspired artificial counterparts that can potentially outperform conventional systems. After a critical appraisal on the current status of SHM, this paper presents a review of selected works related to neural, cochlea and immune-inspired algorithms implemented in the field of SHM, including a brief survey of the advancements of bio-inspired sensor technology for the purpose of SHM. In parallel to this engineering progress, a more in-depth understanding of the most suitable biological patterns to be transferred into multimodal SHM systems is fundamental to foster new scientific breakthroughs. Hence, grounded in the dissection of three selected human biological systems, a framework for new bio-inspired sensing paradigms aimed at guiding the identification of tailored attributes to transplant from nature to SHM is outlined.info:eu-repo/semantics/acceptedVersionInderscienceUniversidade do MinhoMasciotta, Maria GiovannaBarontini, AlbertoRamos, Luís F.Amado-Mendes, PauloLourenço, Paulo B.20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/58667eng1758-03661758-037410.1504/IJBIC.2019.101179http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijbicinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:56:59Zoai:repositorium.sdum.uminho.pt:1822/58667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:46:39.708625Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
title |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
spellingShingle |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms Masciotta, Maria Giovanna Structural health monitoring nature-inspired sensing paradigms bio-inspired algorithms bio-inspired SHM sensors Biomimicry SHM Engenharia e Tecnologia::Engenharia Civil Science & Technology |
title_short |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
title_full |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
title_fullStr |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
title_full_unstemmed |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
title_sort |
An overview on structural health monitoring: From the current state-of-the-art to new bio-inspired sensing paradigms |
author |
Masciotta, Maria Giovanna |
author_facet |
Masciotta, Maria Giovanna Barontini, Alberto Ramos, Luís F. Amado-Mendes, Paulo Lourenço, Paulo B. |
author_role |
author |
author2 |
Barontini, Alberto Ramos, Luís F. Amado-Mendes, Paulo Lourenço, Paulo B. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Masciotta, Maria Giovanna Barontini, Alberto Ramos, Luís F. Amado-Mendes, Paulo Lourenço, Paulo B. |
dc.subject.por.fl_str_mv |
Structural health monitoring nature-inspired sensing paradigms bio-inspired algorithms bio-inspired SHM sensors Biomimicry SHM Engenharia e Tecnologia::Engenharia Civil Science & Technology |
topic |
Structural health monitoring nature-inspired sensing paradigms bio-inspired algorithms bio-inspired SHM sensors Biomimicry SHM Engenharia e Tecnologia::Engenharia Civil Science & Technology |
description |
In the last decades, the field of structural health monitoring (SHM) has grown exponentially. Yet, several technical constraints persist, which are preventing full realization of its potential. To upgrade current state-of-the-art technologies, researchers have started to look at nature’s creations giving rise to a new field called ‘biomimetics’, which operates across the border between living and non-living systems. The highly optimised and time-tested performance of biological assemblies keeps on inspiring the development of bio-inspired artificial counterparts that can potentially outperform conventional systems. After a critical appraisal on the current status of SHM, this paper presents a review of selected works related to neural, cochlea and immune-inspired algorithms implemented in the field of SHM, including a brief survey of the advancements of bio-inspired sensor technology for the purpose of SHM. In parallel to this engineering progress, a more in-depth understanding of the most suitable biological patterns to be transferred into multimodal SHM systems is fundamental to foster new scientific breakthroughs. Hence, grounded in the dissection of three selected human biological systems, a framework for new bio-inspired sensing paradigms aimed at guiding the identification of tailored attributes to transplant from nature to SHM is outlined. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/58667 |
url |
http://hdl.handle.net/1822/58667 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1758-0366 1758-0374 10.1504/IJBIC.2019.101179 http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijbic |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Inderscience |
publisher.none.fl_str_mv |
Inderscience |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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