Opportunities and challenges of digital twins in structural health monitoring
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Other Authors: | , , , |
| 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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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 |
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2024 2024-01-01T00:00:00Z |
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conference paper |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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https://hdl.handle.net/1822/89903 |
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eng |
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eng |
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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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application/pdf |
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Springer |
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Springer |
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