Methodologies and challenges for optimal sensor placement in historical masonry buildings

Detalhes bibliográficos
Autor(a) principal: Chaves, Estefanía
Data de Publicação: 2023
Outros Autores: Barontini, Alberto, Mendes, N., Compán, Víctor, Lourenço, Paulo B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/88705
Resumo: As ageing structures and infrastructures become a global concern, structural health monitoring (SHM) is seen as a crucial tool for their cost-effective maintenance. Promising results obtained for modern and conventional constructions suggested the application of SHM to historical masonry buildings as well. However, this presents peculiar shortcomings and open challenges. One of the most relevant aspects that deserve more research is the optimisation of the sensor placement to tackle well-known issues in ambient vibration testing for such buildings. The present paper focuses on the application of optimal sensor placement (OSP) strategies for dynamic identification in historical masonry buildings. While OSP techniques have been extensively studied in various structural contexts, their application in historical masonry buildings remains relatively limited. This paper discusses the challenges and opportunities of OSP in this specific context, analysing and discussing real-world examples, as well as a numerical benchmark application to illustrate its complexities. This article aims to shed light on the progress and issues associated with OSP in masonry historical buildings, providing a detailed problem formulation, identifying ongoing challenges and presenting promising solutions for future improvements.
id RCAP_a9aa755654b997fc1045dfec4a3f77ce
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/88705
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Methodologies and challenges for optimal sensor placement in historical masonry buildingsDynamic identificationHeritage buildingsHistorical masonryOptimal sensor placementStructural health monitoringAs ageing structures and infrastructures become a global concern, structural health monitoring (SHM) is seen as a crucial tool for their cost-effective maintenance. Promising results obtained for modern and conventional constructions suggested the application of SHM to historical masonry buildings as well. However, this presents peculiar shortcomings and open challenges. One of the most relevant aspects that deserve more research is the optimisation of the sensor placement to tackle well-known issues in ambient vibration testing for such buildings. The present paper focuses on the application of optimal sensor placement (OSP) strategies for dynamic identification in historical masonry buildings. While OSP techniques have been extensively studied in various structural contexts, their application in historical masonry buildings remains relatively limited. This paper discusses the challenges and opportunities of OSP in this specific context, analysing and discussing real-world examples, as well as a numerical benchmark application to illustrate its complexities. This article aims to shed light on the progress and issues associated with OSP in masonry historical buildings, providing a detailed problem formulation, identifying ongoing challenges and presenting promising solutions for future improvements.This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020, and under the Associate Laboratory Advanced Production and Intelligent Systems ARISE under reference LA/P/0112/2020. This work was partly financed also by national funds through FCT—Foundation for Science and Technology, under grant agreement 020.07164.BD attributed to the first author.MDPIUniversidade do MinhoChaves, EstefaníaBarontini, AlbertoMendes, N.Compán, VíctorLourenço, Paulo B.20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/88705eng1424-822010.3390/s232393043806767738067677https://www.mdpi.com/1424-8220/23/23/9304info: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:RCAAP2024-02-10T01:20:52Zoai:repositorium.sdum.uminho.pt:1822/88705Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:16.616867Repositório 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 Methodologies and challenges for optimal sensor placement in historical masonry buildings
title Methodologies and challenges for optimal sensor placement in historical masonry buildings
spellingShingle Methodologies and challenges for optimal sensor placement in historical masonry buildings
Chaves, Estefanía
Dynamic identification
Heritage buildings
Historical masonry
Optimal sensor placement
Structural health monitoring
title_short Methodologies and challenges for optimal sensor placement in historical masonry buildings
title_full Methodologies and challenges for optimal sensor placement in historical masonry buildings
title_fullStr Methodologies and challenges for optimal sensor placement in historical masonry buildings
title_full_unstemmed Methodologies and challenges for optimal sensor placement in historical masonry buildings
title_sort Methodologies and challenges for optimal sensor placement in historical masonry buildings
author Chaves, Estefanía
author_facet Chaves, Estefanía
Barontini, Alberto
Mendes, N.
Compán, Víctor
Lourenço, Paulo B.
author_role author
author2 Barontini, Alberto
Mendes, N.
Compán, Víctor
Lourenço, Paulo B.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Chaves, Estefanía
Barontini, Alberto
Mendes, N.
Compán, Víctor
Lourenço, Paulo B.
dc.subject.por.fl_str_mv Dynamic identification
Heritage buildings
Historical masonry
Optimal sensor placement
Structural health monitoring
topic Dynamic identification
Heritage buildings
Historical masonry
Optimal sensor placement
Structural health monitoring
description As ageing structures and infrastructures become a global concern, structural health monitoring (SHM) is seen as a crucial tool for their cost-effective maintenance. Promising results obtained for modern and conventional constructions suggested the application of SHM to historical masonry buildings as well. However, this presents peculiar shortcomings and open challenges. One of the most relevant aspects that deserve more research is the optimisation of the sensor placement to tackle well-known issues in ambient vibration testing for such buildings. The present paper focuses on the application of optimal sensor placement (OSP) strategies for dynamic identification in historical masonry buildings. While OSP techniques have been extensively studied in various structural contexts, their application in historical masonry buildings remains relatively limited. This paper discusses the challenges and opportunities of OSP in this specific context, analysing and discussing real-world examples, as well as a numerical benchmark application to illustrate its complexities. This article aims to shed light on the progress and issues associated with OSP in masonry historical buildings, providing a detailed problem formulation, identifying ongoing challenges and presenting promising solutions for future improvements.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
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 https://hdl.handle.net/1822/88705
url https://hdl.handle.net/1822/88705
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
10.3390/s23239304
38067677
38067677
https://www.mdpi.com/1424-8220/23/23/9304
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137423893987328