@misc{Tengs_Eric_Model,
 author={Tengs, Eric and Charrassier, Flora and Holst, Martin and Storli, Pal-Tore Selbo},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={As part of an ongoing study into hydropower runner failure, a submerged, vibrating blade is investigated both experimentally and numerically. The numerical simulations performed are fully coupled acoustic-structural simulations in ANSYS Mechanical. In order to speed up the simulations, a model order reduction technique based on Krylov subspaces is implemented.},
 abstract={This paper presents a comparison between the full ANSYS harmonic response and the reduced order model, and shows excellent agreement. The speedup factor obtained by using the reduced order model is shown to be between one and two orders of magnitude. The number of dimensions in the reduced subspace needed for accurate results is investigated, and confirms what is found in other studies on similar model order reduction applications. In addition, experimental results are available for validation, and show good match when not too far from the resonance peak.},
 type={artykuł},
 title={Model order reduction technique applied on harmonic analysis of a submerged vibrating blade},
 keywords={model order reduction, FSI, vibrations, harmonic response},
}