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Damping performance of annular anti-motion structures on a cylindrical floating drilling production storage and offloading system

Lookup NU author(s): Professor Zhiqiang Hu

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2019 Elsevier LtdUsing anti-motion structures is one of the most common methods of improving motion performance of cylindrical floating drilling production storage and offloading system (FDPSO). In order to study the damping performance of annular anti-motion structures, basin model experiments and numerical simulations are carried out. By using six different annular anti-motion structures, the influence of different factors, including horizontal gaps, edges, and removal of horizontal plates are investigated. Numerical results are validated by the basin model test for further research. Specifically, with computational fluid dynamics (CFD) simulations the flow fields around the structures are presented and correlated with the experimental measurements. Results show that horizontal gaps can improve the damping performance, especially in roll. Meanwhile edges can also benefit the damping of anti-motion structure. With respect to the annular anti-motion structure, outer edges perform better than inner ones. Removing upper plate decreases the roll damping coefficients but removing lower plate increases it. In general, in order to maximize damping performance, outer edges and horizontal gaps can be added to annular anti-motion structures.


Publication metadata

Author(s): Ji X, Li Y, Tang Y, Zhu Q, Hu Z

Publication type: Article

Publication status: Published

Journal: Ocean Engineering

Year: 2019

Volume: 192

Print publication date: 15/11/2019

Online publication date: 18/10/2019

Acceptance date: 13/10/2019

Date deposited: 19/12/2019

ISSN (print): 0029-8018

ISSN (electronic): 1873-5258

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.oceaneng.2019.106590

DOI: 10.1016/j.oceaneng.2019.106590


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Funding

Funder referenceFunder name
Project funded by China Postdoctoral Science Foundation (No.2019M651042).
This study was supported by Ministry of Industry and Information Technology (G014614002)

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