Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Investigation on high-order coupled rigid-flexible multi-body dynamic code for offshore floating wind turbines

Lookup NU author(s): Professor Zhiqiang HuORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

© 2017 ASME. This paper presents a preliminary development and validation of a high-order coupled time-domain simulation code DARwind for floating offshore wind turbine systems. In the code, unsteady Blade-Element-Momentum method with some corrections has been utilized to calculate aerodynamic loads. Combination of potential-flow theory and Morison's equation are applied to calculate hydrodynamic loads. A quasi-static catenary mooring model is used to consider restoring forces from mooring lines. Kane's dynamic equations and a high-order coupled model with mode superposition are proposed to model kinematics and structural dynamics of floating offshore wind turbine systems. Subsequently, the effectiveness of the code and its unique high-order coupled dynamic characteristics have been verified by code-to-code tests.

Publication metadata

Author(s): Hu Z, Liu G, Chen J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering

Year of Conference: 2017

Pages: OMAE2017-61074

Online publication date: 25/06/2017

Acceptance date: 02/04/2016

Publisher: ASME

URL: https://doi.org/10.1115/OMAE2017-61074

DOI: 10.1115/OMAE2017-61074

Library holdings: Search Newcastle University Library for this item

ISBN: 9780791857786

Share