Learning hydrodynamic coefficient databases for vortex induced vibration prediction of marine risers using sparse sensor measurements
Semi-empirical models are currently the state-of-the-art technology for flexible cylinder vortex induced vibrations (VIV) predictive modelling. Accurate prediction of the structural response relies heavily on the accuracy of the acquired hydrodynamic coefficient database. Due to the large number of...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/145020 |