A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
<|reference_start|>A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number: This study introduces a first step for constructing a hybrid reduced-order models (ROMs) for segregated fluid-structure interaction in an Arbitrary Lagrangian-Eulerian (ALE) approach at a high Reynolds number using the Finite Volume Method (FVM). The ROM is driven by proper orthogonal decomposition (POD) with hybrid techniques that combines the classical Galerkin projection and two data-driven methods (radial basis networks , and neural networks/ long short term memory). Results demonstrate the ROM ability to accurately capture the physics of fluid-structure interaction phenomena. This approach is validated through a case study focusing on flow-induced vibration (FIV) of a pitch-plunge airfoil at a high Reynolds number 10000000.<|reference_end|>
@article{ngan2024a,
    title={A hybrid reduced-order model for segregated fluid-structure interaction
  solvers in an ALE approach at high Reynolds number},
    author={Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza},
    journal={arXiv preprint arXiv:2406.12701},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.12701},
    primaryClass={physics.flu-dyn cs.NA math.NA}
}