A novel reduced order model for vortex induced vibrations of long flexible cylinders

by   Giovanni Stabile, et al.

In this manuscript the development of a reduced order model for the analysis of long flexible cylinders in an offshore environment is proposed. In particular the focus is on the modelling of the vortex induced vibrations (VIV) and the aim is the development of a model capable of capturing both the in-line and cross-flow oscillations. The reduced order model is identified starting from the results of a high fidelity solver developed coupling together a Finite Element Solver (FEM) with a Computational Fluid Dynamics (CFD) solver. The high fidelity analyses are conducted on a reduced domain size representing a small section of the long cylinder, which is nevertheless, already flexible. The section is forced using a motion which matches the expected motion in full scale, and the results are used for the system-parameter identification of the reduced order model. The reduced order model is identified by using a system and parameter identification approach. The final proposed model consists in the combination of a forced van der Pol oscillator, to model the cross-flow forces, and a linear state-space model, to model the in-line forces. The model is applied to study a full scale flexible model and the results are validated by using experiments conducted on a flexible riser inside a towing tank.



There are no comments yet.


page 1

page 2

page 3

page 4


Geometrically reduced modelling of pulsatile flow in perivascular networks

Flow of cerebrospinal fluid in perivascular spaces is a key mechanism un...

A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations

We investigate a projection-based reduced-order model of the steady inco...

Error estimate of the Non Intrusive Reduced Basis method with finite volume schemes

The context of this paper is the simulation of parameter-dependent parti...

Identification of Behavioural Models for Railway Turnouts Monitoring

This study introduces a low-complexity behavioural model to describe the...

Longitudinal Dynamics Model Identification of an Electric Car Based on Real Response Approximation

Obtaining a realistic and accurate model of the longitudinal dynamics is...

State-space aerodynamic model reveals high force control authority and predictability in flapping flight

Flying animals resort to fast, large-degree-of-freedom motion of flappin...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.