Opportunities and challenges of digital twins in structural health monitoring

Bibliographic Details
Main Author: Tran, Minh Quang
Publication Date: 2024
Other Authors: Sousa, Hélder S., Nguyen, Nhung Thi Cam, Nguyen, Quyet Huu, Matos, José C.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/89903
Summary: Digital 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.
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spelling Opportunities and challenges of digital twins in structural health monitoringDigital twinOpportunities and challenges of DTStructural health monitoringEngenharia e Tecnologia::Engenharia CivilDigital 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.The 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.SpringerUniversidade do MinhoTran, Minh QuangSousa, Hélder S.Nguyen, Nhung Thi CamNguyen, Quyet HuuMatos, José C.20242024-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/89903engTran, 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_69978-981-99-2344-12366-255710.1007/978-981-99-2345-8_69978-981-99-2345-8https://link.springer.com/chapter/10.1007/978-981-99-2345-8_69info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-19T01:18:41Zoai:repositorium.sdum.uminho.pt:1822/89903Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:08:40.525731Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Opportunities and challenges of digital twins in structural health monitoring
title Opportunities and challenges of digital twins in structural health monitoring
spellingShingle Opportunities and challenges of digital twins in structural health monitoring
Tran, Minh Quang
Digital twin
Opportunities and challenges of DT
Structural health monitoring
Engenharia e Tecnologia::Engenharia Civil
title_short Opportunities and challenges of digital twins in structural health monitoring
title_full Opportunities and challenges of digital twins in structural health monitoring
title_fullStr Opportunities and challenges of digital twins in structural health monitoring
title_full_unstemmed Opportunities and challenges of digital twins in structural health monitoring
title_sort Opportunities and challenges of digital twins in structural health monitoring
author Tran, Minh Quang
author_facet Tran, Minh Quang
Sousa, Hélder S.
Nguyen, Nhung Thi Cam
Nguyen, Quyet Huu
Matos, José C.
author_role author
author2 Sousa, Hélder S.
Nguyen, Nhung Thi Cam
Nguyen, Quyet Huu
Matos, José C.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Tran, Minh Quang
Sousa, Hélder S.
Nguyen, Nhung Thi Cam
Nguyen, Quyet Huu
Matos, José C.
dc.subject.por.fl_str_mv Digital twin
Opportunities and challenges of DT
Structural health monitoring
Engenharia e Tecnologia::Engenharia Civil
topic Digital twin
Opportunities and challenges of DT
Structural health monitoring
Engenharia e Tecnologia::Engenharia Civil
description Digital 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.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/89903
url https://hdl.handle.net/1822/89903
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tran, 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_69
978-981-99-2344-1
2366-2557
10.1007/978-981-99-2345-8_69
978-981-99-2345-8
https://link.springer.com/chapter/10.1007/978-981-99-2345-8_69
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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