Intelligent operation monitoring and finite element coupled identification of hyperstatic structures

[EN] The safety, longevity, and healthy operation and maintenance of world-class large bridges are a research hotspot that continues to attract attention from academia and industry. In particular, during the sustainable operation period of large and statically indeterminate bridges under various loa...

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Autores: Zhou, Zhiwu, Zhao, Zhifeng, Alcalá-González, Julián|||0000-0003-1376-8441, Yepes, V.|||0000-0001-5488-6001
Tipo de documento: artigo
Data de publicação:2025
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositório:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglês
OAI Identifier:oai:dnet:riunet______::9f2a7d351068e5280dc50ac53165ad13
Acesso em linha:https://riunet.upv.es/handle/10251/233695
Access Level:Acceso aberto
Palavra-chave:Statically indeterminate structure
Automated monitoring
Finite element coupling
Structural damage
Early warning system
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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spelling Intelligent operation monitoring and finite element coupled identification of hyperstatic structuresZhou, ZhiwuZhao, ZhifengAlcalá-González, Julián|||0000-0003-1376-8441Yepes, V.|||0000-0001-5488-6001Statically indeterminate structureAutomated monitoringFinite element couplingStructural damageEarly warning system09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] The safety, longevity, and healthy operation and maintenance of world-class large bridges are a research hotspot that continues to attract attention from academia and industry. In particular, during the sustainable operation period of large and statically indeterminate bridges under various loads and complex environmental conditions, it is necessary to establish an information-based intelligent structural health monitoring and early warning cloud platform system to ensure the safety and economic efficiency of in-service bridges. Through interdisciplinary research in computer science, communication engineering, automation control, and engineering mechanics, this article established a multi-factor complex modal multi-source theoretical model and applied the real-time early warning of bridge monitoring data and the coupling of finite element models to verify the robustness of the intelligent cloud model under the influence of multiple factors on statically indeterminate bridges. This work solves the technical barriers that traditional technical monitoring cannot achieve continuous real-time, spatiotemporal and remote monitoring of statically indeterminate structures, and realizes an intelligent cloud platform model for spatial, direct and automated monitoring, providing scientific and technological guarantees for the healthy maintenance of super-large bridges, and providing theoretical scientific support and paradigms for saving labour and reducing maintenance costs.The authors gratefully acknowledge the funding received from the following research projects: Grant PID2023-150003OB-100 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe"; The newly launched doctoral research project, issued by Xiang Ke University [2023] No. 75; Natural Science Foundation of Hunan Province, Number 2025JJ50288.ElsevierDepartamento de Ingeniería de la Construcción y de Proyectos de Ingeniería CivilEscuela Técnica Superior de Ingeniería de Caminos, Canales y PuertosInstituto Universitario de Investigación de Ciencia y Tecnología del HormigónAGENCIA ESTATAL DE INVESTIGACIONEuropean Regional Development FundNatural Science Foundation of Hunan ProvinceRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-09-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/233695reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2023-150003OB-I00 OPTIMIZACION RESILIENTE DEL CICLO DE VIDA DE ESTRUCTURAS HIBRIDAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO CONDICIONES EXTREMASNatural Science Foundation of Hunan Province Natural Science Foundation of Hunan Province 2025JJ50288open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:riunet______::9f2a7d351068e5280dc50ac53165ad132026-06-13T07:49:27Z
dc.title.none.fl_str_mv Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
title Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
spellingShingle Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
Zhou, Zhiwu
Statically indeterminate structure
Automated monitoring
Finite element coupling
Structural damage
Early warning system
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
title_full Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
title_fullStr Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
title_full_unstemmed Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
title_sort Intelligent operation monitoring and finite element coupled identification of hyperstatic structures
dc.creator.none.fl_str_mv Zhou, Zhiwu
Zhao, Zhifeng
Alcalá-González, Julián|||0000-0003-1376-8441
Yepes, V.|||0000-0001-5488-6001
author Zhou, Zhiwu
author_facet Zhou, Zhiwu
Zhao, Zhifeng
Alcalá-González, Julián|||0000-0003-1376-8441
Yepes, V.|||0000-0001-5488-6001
author_role author
author2 Zhao, Zhifeng
Alcalá-González, Julián|||0000-0003-1376-8441
Yepes, V.|||0000-0001-5488-6001
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil
Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
Instituto Universitario de Investigación de Ciencia y Tecnología del Hormigón
AGENCIA ESTATAL DE INVESTIGACION
European Regional Development Fund
Natural Science Foundation of Hunan Province
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Statically indeterminate structure
Automated monitoring
Finite element coupling
Structural damage
Early warning system
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Statically indeterminate structure
Automated monitoring
Finite element coupling
Structural damage
Early warning system
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] The safety, longevity, and healthy operation and maintenance of world-class large bridges are a research hotspot that continues to attract attention from academia and industry. In particular, during the sustainable operation period of large and statically indeterminate bridges under various loads and complex environmental conditions, it is necessary to establish an information-based intelligent structural health monitoring and early warning cloud platform system to ensure the safety and economic efficiency of in-service bridges. Through interdisciplinary research in computer science, communication engineering, automation control, and engineering mechanics, this article established a multi-factor complex modal multi-source theoretical model and applied the real-time early warning of bridge monitoring data and the coupling of finite element models to verify the robustness of the intelligent cloud model under the influence of multiple factors on statically indeterminate bridges. This work solves the technical barriers that traditional technical monitoring cannot achieve continuous real-time, spatiotemporal and remote monitoring of statically indeterminate structures, and realizes an intelligent cloud platform model for spatial, direct and automated monitoring, providing scientific and technological guarantees for the healthy maintenance of super-large bridges, and providing theoretical scientific support and paradigms for saving labour and reducing maintenance costs.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/233695
url https://riunet.upv.es/handle/10251/233695
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2023-150003OB-I00 OPTIMIZACION RESILIENTE DEL CICLO DE VIDA DE ESTRUCTURAS HIBRIDAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO CONDICIONES EXTREMAS
Natural Science Foundation of Hunan Province Natural Science Foundation of Hunan Province 2025JJ50288
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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