An FEM-based AI approach to model parameter identification for low vibration modes of wind turbine composite rotor blades
Author:
Affiliation:
1. Department of Aeronautics, South Kensington Campus, Imperial College London, London, UK
2. Department of Theoretical and Applied Mechanics, Taras Shevchenko National University of Kyiv, Kiev, Ukraine
Funder
TurkAz Enerji Ltd.
TurkAz Enerji
Publisher
River Publishers
Subject
Mechanical Engineering,Mechanics of Materials,Modelling and Simulation
Link
https://www.tandfonline.com/doi/pdf/10.1080/17797179.2017.1382317
Reference9 articles.
1. Ill-Posed Problems: Theory and Applications
2. Modal Data Are Insufficient for Identification of Both Mass and Stiffness Matrices
3. Structural Optimization of 3 MW Wind Turbine Blades Using a Two-Step Procedure
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1. Simulation of the dynamic response in a storm scenario;Multiphysics of Wind Turbines in Extreme Loading Conditions;2024
2. Dynamic Behavior of Composite Wind Turbine Blades with Different Material Combinations: a Numerical Study*;International Applied Mechanics;2021-11
3. Finite Element Analysis of Wind Turbine Blade Vibrations;Vibration;2021-04-05
4. Approximate Mode-based Simulation of Composite Wind Turbine Blade Vibrations using a Simplified Beam Model;EUR J COMPUT MECH;2019
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