Kehls, J., Brepols, T., Reese, S., Anantheswar, A., Wollny, I., & Kaliske, M. (2025). Towards real-time structural simulations for the digital twin of the road. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria (pp. 596–599). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10889
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
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Event date:
7-May-2025 - 9-May-2025
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Event place:
Wien, Austria
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Number of Pages:
4
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Publisher:
TU Wien, E230-03 Road Engineering, Wien
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Peer reviewed:
Yes
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Keywords:
Model Order Reduction; Arbitrary Lagrangian Eulerian; Digital Twin; Computational Mechanics; Proper Orthogonal Decomposition
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Abstract:
In the context of digital twins, fast simulations are essential to obtain meaningful information about a system in near real-time. To achieve this goal in the context of a digital twin of a road system, a combination of the Arbitrary Lagrangian Eulerian (ALE) method and proper orthogonal decomposition (POD)-based model order reduction is proposed. In a numerical example, the combination of the two methods is shown to reduce the computation time of a simulation significantly, introducing only a small approximation error. Furthermore, it is demonstrated that the framework can predict unseen structural behavior without a vast amount of data.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
CC BY 4.0
