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Stochastic Analysis for Wind Turbine Blades Subjected to Aeroelastic Instabilities.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Stochastic Analysis for Wind Turbine Blades Subjected to Aeroelastic Instabilities./
作者:	Li, Shaoning.
面頁冊數:	1 online resource (227 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
標題:	Alternative energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29163656click for full text (PQDT)
ISBN:	9798438771654

Stochastic Analysis for Wind Turbine Blades Subjected to Aeroelastic Instabilities.
Li, Shaoning.

Stochastic Analysis for Wind Turbine Blades Subjected to Aeroelastic Instabilities. - 1 online resource (227 pages)

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

Thesis (Ph.D.)--Northeastern University, 2022.

Includes bibliographical references

Wind energy has been the fastest growing clean energy resource. The use of offshore, horizontal-axis wind turbines has been rapidly expanding in recent years. Larger rotor areas of offshore wind turbines usually result in higher wind power generation. However, long and flexible wind turbine blades are more vulnerable to flow-induced, aeroelastic instabilities. Classical flutter is one of the aeroelastic in- stability phenomena, which can cause operational blade failure and, consequently, limit its maximum dimensions. Risk analysis of the blades due to classical flutter is an important engineering problem because of the aleatory nature of both the mechanical system and flow field. Several gaps, such as uncertainty quantification, error propagation, and stochastic modeling of the blade dynamics, currently prevent the successful design of future offshore wind turbines. The main objective of this dissertation is to examine the classical flutter of off- shore wind turbine blades, accounting for main uncertainties sources, by novel aerodynamic and probabilistic theories. A simulation framework is proposed and introduced in this work to study stochastic flutter analysis of offshore wind turbine blades. A benchmark blade model, i.e., the National Renewable Energy Laboratory (NREL) 5MW blade, is used for verification and application of the proposed frame- work throughout this dissertation. The main features of the proposed framework are: numerical prediction of blade flutter onset, examination of random aerodynamic and aeroelastic blade forces through wind tunnel tests, uncertainty quantification for the blades in the context of risk analysis. The simulation component of the dissertation includes the following modules: advanced model for deterministic flutter prediction, stochastic model for risk analysis of blades contaminated by various uncertainty sources, wind tunnel test protocols for experimental error examination and its effects on the aerodynamic and aeroelastic loads of the blades.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798438771654Subjects--Topical Terms:

3436775
Alternative energy.
Subjects--Index Terms:

Classical flutterIndex Terms--Genre/Form:

542853
Electronic books.

Stochastic Analysis for Wind Turbine Blades Subjected to Aeroelastic Instabilities.
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