Understanding the higher harmonics of vortex-induced vibration response using a trend-constrained, machine learning approach
Name
Understanding the higher harmonics of vortex-induced vibration response using a trend-constrained, machine learning approach.pdf
Description
Accepted version
Size
10.82 MB
Format
Adobe PDF
Checksum (MD5)
cb5a179669677f056342697860854382
Author(s)
Ma, Leixin
Resvanis, Themistocles L.
Vandiver, J. Kim
Date Issued
May 2022
Journal
Marine Structures
Publisher
Elsevier BV
Citation
Ma, Leixin, Resvanis, Themistocles L. and Vandiver, J. Kim. 2022. "Understanding the higher harmonics of vortex-induced vibration response using a trend-constrained, machine learning approach." Marine Structures, 83.
Version
Author's final manuscript
Abstract
The spectra from cross-flow VIV signals contain peaks at the dominant vortex shedding frequency but also at several other frequencies, notably at three times and five times that frequency. These higher harmonic contributions are important because they are associated with high fatigue damage rates. The understanding of what controls higher harmonic response is far from complete. This paper presents a trend-constrained, data-driven model to discover important features (parameters) affecting the higher harmonic response of flexible cylinders subjected to vortex-induced vibrations. The predicted dependent parameter is the ratio of stress at the 3rd harmonic divided by the stress at the dominant VIV frequency. The known effects of damping and bending stiffness are introduced as physical constraints to improve the DNN predictions and aid in important parameter identification. The machine learning predictions with and without prior physical constraints are compared. The comparison suggests that the machine learning model with prior physical constraints better handles independent experimental datasets. It is confirmed that the higher stress ratios are associated with smaller damping parameter values and smaller bending stiffness ratios. The larger stress ratio is also found to be associated with traveling waves and single-mode-dominated responses.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.marstruc.2022.103195
