A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
Abstract
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.
Keywords
Cite
@article{arxiv.2406.12701,
title = {A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number},
author = {Valentin Nkana Ngan and Giovanni Stabile and Andrea Mola and Gianluigi Rozza},
journal= {arXiv preprint arXiv:2406.12701},
year = {2024}
}
Comments
arXiv admin note: text overlap with arXiv:2305.13613