Deep learning vortex-induced vibrations: Time-space forecasting with transformers

Andreas P. Mentzelopoulos

doi:10.1016/j.jfluidstructs.2025.104337

Deep learning vortex-induced vibrations: Time-space forecasting with transformers

2025-06-07

0

PRE

AI

A

Andreas P. Mentzelopoulos

I

Ioannis Papakalodoukas

D

Dixia Fan

T

Themistoklis P. Sapsis

M

Michael S. Triantafyllou

DOI：10.1016/j.jfluidstructs.2025.104337

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Abstract

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A transformer-based deep neural network is developed to forecast vortex-induced vibrations (VIV) of flexible cylinders. The model is trained on experimental data of uniform (i.e constant diameter) and tapered (i.e. linearly varying diameter) flexible cylinder models, with the latter exhibiting multi-frequency vibrations.

Deep learning vortex-induced vibrations: Time-space forecasting with transformers

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