A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number

Valentin Nkana Ngan; Giovanni Stabile; Andrea Mola; Gianluigi Rozza

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arXiv · 2406.12701

A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number

Valentin Nkana Ngan·Giovanni Stabile·Andrea Mola·Gianluigi Rozza

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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.

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Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza. 2024-06-18. A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number. https://arxiv.org/abs/2406.12701

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