Predictive twin for steel bridge in The Netherlands

conference paper
2023
Raat, G.A. de

Bakker, J.D.

Luiten, G.T.

Paulissen, J.H.

Vogel, B.Q. de

Scholten, H.

Graaf, S. de
Predictive digital twins can support asset managers in assessing the end-ofservice life phase of infrastructure. This paper reports on the development of a standardized Digital Twin System Architecture integrating various system layers, which can help asset managers in effectively and efficiently deploying (new) digital technologies to manage their asset networks. A Field-Lab in the Moerdijk bridge region allowed to perform the experiments, research and development of relevant building blocks towards the implementation of this digital twin architecture for steel bridges. This includes the chain from sensor-data, datamanagement, data-processing towards 3D visualization in a geospatial environment. (C) 2023 The Author(s).
Topics
Architecture and Building
TNO Identifier
994788
Repository link
https://resolver.tno.nl/uuid:8ee4a7d9-c421-44a1-8173-b2c8bedc2d20
ISBN
9781003323020
Publisher
CRC Press/Balkema
Source title
Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
Editor(s)
Biondini, F.
Frangopol, D.M.
Pages
1003-1010
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