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Lin Wang

Researcher at Coventry University

Publications -  58
Citations -  1274

Lin Wang is an academic researcher from Coventry University. The author has contributed to research in topics: Turbine & Wind power. The author has an hindex of 13, co-authored 49 publications receiving 883 citations. Previous affiliations of Lin Wang include Cranfield University & University of Central Lancashire.

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Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

TL;DR: In this article, a review of Structural Health Monitoring Systems (SHMS) for offshore wind turbines (OWT) has been carried out considering the topic as a Statistical Pattern Recognition problem.
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Fluid structure interaction modelling of horizontal-axis wind turbine blades based on CFD and FEA

TL;DR: In this article, an FSI model for wind turbine blades at full scale is established, where aerodynamic loads are calculated using a CFD (computational fluid dynamics) model implemented in ANSYS FLUENT, and the blade structural responses are determined using a FEA (finite element analysis) model.
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State of the art in the aeroelasticity of wind turbine blades: aeroelastic modelling

TL;DR: A review of the state-of-the-art aeroelastic modeling of wind turbine blades can be found in this paper, where the authors provide a comprehensive review on the available models for aerodynamic, structural and cross-sectional analysis, discusses the advantages and disadvantages of these models, and outlines the current implementations in this field.
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Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm

TL;DR: In this paper, a structural optimisation model for OWT support structures has been developed based on a coupled parametric FEA (Finite Element Analysis) and GA (Genetic Algorithm), minimising the mass of the support structure under multi-criteria constraints.
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Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory

TL;DR: In this article, a nonlinear aeroelastic model for large wind turbine blades has been developed by combining BEM (blade element momentum) theory and mixed-form formulation of GEBT (geometrically exact beam theory).