Offshore wind turbine nonlinear wave loads and their statistics

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019

Bibliographic Details
Main Author: Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering.
Other Authors: Paul D. Sclavounos.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/122220
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author Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering.
author2 Paul D. Sclavounos.
author_facet Paul D. Sclavounos.
Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering.
author_sort Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering.
collection MIT
description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
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spelling mit-1721.1/1222202019-11-22T03:37:35Z Offshore wind turbine nonlinear wave loads and their statistics Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering. Paul D. Sclavounos. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 83-86). Due to the large influence of lateral flexible vibrations on offshore wind turbine foundations and the higher natural frequencies of the offshore wind turbine foundation relative to the dominant frequencies of the linear wave load model, the modeling of the dynamic behavior of the foundation under nonlinear wave loads and analysis of their statistical characteristics have become an important issue for offshore wind turbine design. This thesis derives an approximate model of the nonlinear wave loads in the time domain by Fluid Impulse Theory, verifies it with a boundary element method software WAMIT and validates it with experimental measurements. The load level crossing rates and the load power spectral density is obtained in multiple sea states. The simulated nonlinear wave loads are applied as the forcing mechanism on the offshore wind turbine and its foundation, and the mudline bending moments are computed and compared with experimental measurements. The system identification is conducted by fitting the model with the experimental data using linear regression method. The analytical extreme and fatigue prediction of the offshore wind turbine system are derived and evaluated in waters of finite depth and in multiple seastates. Key words: Nonlinear wave loads, nonlinear wave loads statistics, system identification, extremes and fatigue Financial support from MIT-NTNU energy initiative program and Statoil by Yu Zhang. Ph. D. Ph.D. Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-09-17T19:48:04Z 2019-09-17T19:48:04Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122220 1117714042 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 91 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Zhang, Yu,Ph.D.Massachusetts Institute of Technology. Department of Mechanical Engineering.
Offshore wind turbine nonlinear wave loads and their statistics
title Offshore wind turbine nonlinear wave loads and their statistics
title_full Offshore wind turbine nonlinear wave loads and their statistics
title_fullStr Offshore wind turbine nonlinear wave loads and their statistics
title_full_unstemmed Offshore wind turbine nonlinear wave loads and their statistics
title_short Offshore wind turbine nonlinear wave loads and their statistics
title_sort offshore wind turbine nonlinear wave loads and their statistics
topic Mechanical Engineering.
url https://hdl.handle.net/1721.1/122220
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