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dc.contributor.authorTran, Minh Quangpor
dc.contributor.authorSousa, Hélder S.por
dc.contributor.authorNguyen, Nhung Thi Campor
dc.contributor.authorNguyen, Quyet Huupor
dc.contributor.authorMatos, José C.por
dc.date.accessioned2024-03-23T11:17:24Z-
dc.date.available2024-03-23T11:17:24Z-
dc.date.issued2023-
dc.identifier.citationTran, M.Q., Sousa, H.S., Nguyen, N.T.C., Nguyen, Q.H., Campos e Matos, J. (2024). Opportunities and Challenges of Digital Twins in Structural Health Monitoring. In: Nguyen-Xuan, T., Nguyen-Viet, T., Bui-Tien, T., Nguyen-Quang, T., De Roeck, G. (eds) Proceedings of the 4th International Conference on Sustainability in Civil Engineering. ICSCE 2022. Lecture Notes in Civil Engineering, vol 344. Springer, Singapore. https://doi.org/10.1007/978-981-99-2345-8_69por
dc.identifier.isbn978-981-99-2344-1por
dc.identifier.issn2366-2557por
dc.identifier.urihttps://hdl.handle.net/1822/89903-
dc.description.abstractDigital twin (DT) is one of the most modern and promising technologies in realizing smart manufacturing and implementing Industry 4.0. DT offers opportunity to integrate the physical world with digital world with a seamless data source. Civil engineering industry, in general, is facing many challenges in the process of digital transformation to improve efficiency and technology to meet the current growth rate of the economy. DT technology has the potential to transform and improve the exploitation and management of infrastructure in civil engineering, especially in the service phase. Based on DT model, managers and maintenance operators can test different scenarios, improve efficiency, and make accurate decisions in maintenance of the structure, leading to reduction of management and other regular monitoring costs, as well as accurate prediction of risks during the lifespan of the infrastructure. This study presents advances in digital twin implementations in structural health monitoring. This presents the opportunities and challenges of the digital twin in structural health monitoring with current technologies and future directions.por
dc.description.sponsorshipThe authors acknowledge the financial support of the project research “B2022-GHA-03” of the Ministry of Education and Training. 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. The first author acknowledges the funding by MIT Portugal Program (MPP) through the MPP2030-FCT Research Grants. The second author acknowledges the funding by FCT through the Scientific Employment Stimulus—4th Edition. Nguyen Huu Quyet was funded by the Master, Ph.D. Scholarship Programme of Vingroup Innovation Foundation (VINIF), code VINIF.2022.ThS.075.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PTpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectDigital twinpor
dc.subjectOpportunities and challenges of DTpor
dc.subjectStructural health monitoringpor
dc.titleOpportunities and challenges of digital twins in structural health monitoringpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-981-99-2345-8_69por
oaire.citationStartPage673por
oaire.citationEndPage681por
oaire.citationVolume344 LNCEpor
dc.identifier.doi10.1007/978-981-99-2345-8_69por
dc.identifier.eisbn978-981-99-2345-8por
dc.subject.fosEngenharia e Tecnologia::Engenharia Civilpor
sdum.journalLecture Notes in Civil Engineeringpor
oaire.versionVoRpor
Aparece nas coleções:ISISE - Comunicações a Conferências Internacionais

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