TY - GEN
T1 - Structural Health Monitoring of Engineering Structures Using Digital Twins
T2 - 11th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025
AU - Talasila, P.
AU - Tcherniak, D.
AU - Jensen, A. M.D.
AU - Mahato, S.
AU - Schörghofer-Queiroz, A.
AU - Ulriksen, M. D.
AU - Abbiati, G.
AU - Larsen, P. G.
AU - Damkilde, L.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Engineering structures such as bridges and wind farms need to have a long useful lifetime. Structural Health Monitoring (SHM) via predictive simulations may be valuable towards lifetime extension. Digital Twins (DTs) are a suitable technology for such SHM, automated interventions, and providing analytical insights. In this paper, we present the Digital Twin as a Service (DTaaS), which is a collaborative online platform for management of DTs. This platform eases the task of building, using, and sharing DTs in a collaborative environment. The DTaaS provides real-time communication capabilities to link DTs with engineering structures, which helps with updating the models used in the DTs and thereby improving the prediction accuracy offered by SHM systems. The capabilities of the DTaaS are exemplified in the context of a wind turbine case study, in which a DT of the jacket-pile foundation is developed based on experimental data.
AB - Engineering structures such as bridges and wind farms need to have a long useful lifetime. Structural Health Monitoring (SHM) via predictive simulations may be valuable towards lifetime extension. Digital Twins (DTs) are a suitable technology for such SHM, automated interventions, and providing analytical insights. In this paper, we present the Digital Twin as a Service (DTaaS), which is a collaborative online platform for management of DTs. This platform eases the task of building, using, and sharing DTs in a collaborative environment. The DTaaS provides real-time communication capabilities to link DTs with engineering structures, which helps with updating the models used in the DTs and thereby improving the prediction accuracy offered by SHM systems. The capabilities of the DTaaS are exemplified in the context of a wind turbine case study, in which a DT of the jacket-pile foundation is developed based on experimental data.
KW - Digital Twin Platform
KW - Jacket-Pile Foundation
KW - Offshore Wind Turbine
KW - Structural Health Monitoring
UR - https://www.scopus.com/pages/publications/105018117676
U2 - 10.1007/978-3-031-96110-6_98
DO - 10.1007/978-3-031-96110-6_98
M3 - Article in proceedings
AN - SCOPUS:105018117676
SN - 9783031961090
T3 - Lecture Notes in Civil Engineering
SP - 986
EP - 996
BT - Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 - Volume 1
A2 - Cunha, Álvaro
A2 - Caetano, Elsa
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 July 2025 through 4 July 2025
ER -