A Digital Twin Concept for Civil Infrastructure
Publication: Journal of Infrastructure Systems
Volume 30, Issue 4
Abstract
In broad terms, a digital twin is a continuously updated virtual representation of some targeted physical reality. The objective of this technical note is to contribute to the current/ongoing efforts of delineating the digital twin concept within the civil engineering domain. An adult digital twin concept is described and exemplified for this purpose–applicable to mature civil infrastructure and with the primary aim of monitoring changes in state over time. The analysis advocates for clearly separating the real and virtual spaces by focusing on objective physical entities as state descriptors, i.e., entities that are not inherently coupled to any specific modeling framework. Also, the analysis emphasizes that model updating consists of two distinct activities, namely parameter updating (Type I) and formulation updating (Type II)—with the latter type requiring research attention.
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Data Availability Statement
No data, models, or code were generated or used during the study.
References
Adam, Q. F., E. Levenberg, T. Ingeman-Nielsen, and A. Skar. 2023. “Modeling the use of an electrical heating system to actively protect asphalt pavements against low-temperature cracking.” Cold Reg. Sci. Technol. 205 (Jan): 103681. https://doi.org/10.1016/j.coldregions.2022.103681.
Barisic, L. 2020. “A digital twin of an asphalt road.” M.S. thesis, Dept. of Civil Engineering, Technical Univ. of Denmark.
Barisic, L., E. Levenberg, A. Skar, A. Boyd, and P. Zoulis. 2021. “A thermal digital twin for condition monitoring of asphalt roads.” In Green and intelligent technologies for sustainable and smart asphalt pavements, 709–713. Boca Raton, FL: CRC Press.
Barricelli, B. R., E. Casiraghi, and D. Fogli. 2019. “A survey on digital twin: Definitions, characteristics, applications, and design implications.” IEEE Access 7 (Nov): 167653–167671. https://doi.org/10.1109/ACCESS.2019.2953499.
Broo, D. G., M. Bravo-Haro, and J. Schooling. 2022. “Design and implementation of a smart infrastructure digital twin.” Autom. Constr. 136 (Apr): 104171. https://doi.org/10.1016/j.autcon.2022.104171.
Broo, D. G., and J. Schooling. 2023. “Digital twins in infrastructure: Definitions, current practices, challenges and strategies.” Int. J. Constr. Manage. 23 (7): 1254–1263. https://doi.org/10.1080/15623599.2021.1966980.
Chiachío, M., M. Megía, J. Chiachío, J. Fernandez, and M. L. Jalón. 2022. “Structural digital twin framework: Formulation and technology integration.” Autom. Constr. 140 (Aug): 104333. https://doi.org/10.1016/j.autcon.2022.104333.
Grieves, M., and J. Vickers. 2017. “Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems.” In Transdisciplinary Perspect. Complex Syst. New Findings Approaches, edited by F. J. Kahlen, S. Flumerfelt, and A. Alves, 85–113. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-38756-7_4.
Jiang, F., L. Ma, T. Broyd, and K. Chen. 2021. “Digital twin and its implementations in the civil engineering sector.” Autom. Constr. 130 (Oct): 103838. https://doi.org/10.1016/j.autcon.2021.103838.
Levenberg, E., E. Miller-Hooks, A. Asadabadi, and R. Faturechi. 2017. “Resilience of networked infrastructure with evolving component conditions: Pavement network application.” J. Comput. Civ. Eng. 31 (3): 04016060. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000629.
Pregnolato, M., S. Gunner, E. Voyagaki, R. De Risi, N. Carhart, G. Gavriel, P. Tully, T. Tryfonas, J. Macdonald, and C. Taylor. 2022. “Towards civil engineering 4.0: Concept, workflow and application of digital twins for existing infrastructure.” Autom. Constr. 141 (Sep): 104421. https://doi.org/10.1016/j.autcon.2022.104421.
Sacks, R., I. Brilakis, E. Pikas, H. S. Xie, and M. Girolami. 2020. “Construction with digital twin information systems.” Data-Centric Eng. 1 (Jan): e14. https://doi.org/10.1017/dce.2020.16.
VanDerHorn, E., and S. Mahadevan. 2021. “Digital twin: Generalization, characterization and implementation.” Decis. Support Syst. 145 (Jun): 113524. https://doi.org/10.1016/j.dss.2021.113524.
Wright, L., and S. Davidson. 2020. “How to tell the difference between a model and a digital twin.” Adv. Model. Simul. Eng. Sci. 7 (1): 1–13. https://doi.org/10.1186/s40323-020-00147-4.
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Published In
Journal of Infrastructure Systems
Volume 30 • Issue 4 • December 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Sep 13, 2023
Accepted: Jul 2, 2024
Published online: Sep 3, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 3, 2025
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