Multi-dataset OMA and Finite Element Model Updating of Steel Observation Tower
Journal of Physics: Conference Series. Vol.2647: 12th International Conference on Structural Dynamics 2024
Lāsma Ratnika, Līga Gaile, Vanni Nicoletti, Fabrizio Gara

Operational modal analysis for identifying dynamic parameters, together with finite element model updating algorithms, is a promising and powerful tool for detailed analysis of complex civil engineering structures. It is also an integral part of vibration-based methods in structural health monitoring. In this work, the identification of the dynamic parameters was performed based on output-only vibration data recorded in a testing campaign on a 36 m high steel structure used as an observation tower for tourists in Latvia. To correctly interpret the experimental results, a finite element model of the tower has been developed within the Ansys environment. The model updating is performed by adopting an artificial intelligence algorithm called Particle Swarm Optimization. The calibration is performed with the aim of obtaining a numerical model that simulates the real dynamic behaviour of the case study with high accuracy. The calibrated model can be used as a base for the development and design of the structural health monitoring system of the tower.


Atslēgas vārdi
Operational modal analysis, Finite element model updating, Particle Swarm Optimization, Structural Health Monitoring
DOI
10.1088/1742-6596/2647/18/182014
Hipersaite
https://iopscience.iop.org/article/10.1088/1742-6596/2647/18/182014

Ratnika, L., Gaile, L., Nicoletti, V., Gara, F. Multi-dataset OMA and Finite Element Model Updating of Steel Observation Tower. No: Journal of Physics: Conference Series. Vol.2647: 12th International Conference on Structural Dynamics, Nīderlande, Delft, 3.-5. jūlijs, 2023. Bristol: IOP Publishing, 2024, Article number 182014. ISSN 1742-6588. e-ISSN 1742-6596. Pieejams: doi:10.1088/1742-6596/2647/18/182014

Publikācijas valoda
English (en)
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