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ARTICLE
Surrogate-based optimization of the layup of a laminated composite wind turbine blade for an improved power coefficient
1
Department of Mechanical Engineering, Federal University of Technology – Parana (UTFPR), Curitiba, Brazil
Submission date: 2022-01-24
Final revision date: 2022-04-27
Acceptance date: 2022-04-28
Online publication date: 2022-06-12
Publication date: 2022-07-30
Corresponding author
Marco Antonio Luersen
Department of Mechanical Engineering, Federal University of Technology – Parana, Brazil
Department of Mechanical Engineering, Federal University of Technology – Parana, Brazil
Journal of Theoretical and Applied Mechanics 2022;60(3):395-407
KEYWORDS
TOPICS
ABSTRACT
Most wind turbine blades are made of laminated composite materials. The mechanical prop-
erties of the material and the layup orientation influence the blade stiffness and, therefore,
turbine performance. The bend-twist coupling effect, a consequence of the stacking sequence,
can be used for passive control of the pitch angle, which in turn can improve the turbine
performance. In this work, a surrogate-based optimization strategy which uses finite element
simulation and radial basis functions is employed to optimize the stacking sequence of the
blade laminate of a small wind turbine, aiming to improve the power coefficient.
REFERENCES (16)
1.
Almeida M.S., 2013, Computational implementation for the development of horizontal axis wind turbine blades (in Portuguese), Master’s Dissertation, Federal University of Ceará, Brazil.
2.
Barr S.M., Jaworski J.W., 2019, Optimization of tow-steered composite wind turbine blades for static aeroelastic performance, Renewable Energy, 139, 859-872.
3.
Broomhead D.S., Loewe D., 1988, Multivariate functional interpolation and adaptive networks, Complex Systems, 2, 3, 321-355.
4.
Deilmann C., 2009, Passive aeroelastic tailoring of wind turbine blades – a numerical analysis, Master’s Dissertation, Massachusetts Institute of Technology, USA.
5.
Forrester A.I.J., Sóbester A., Keane A.J., 2008, Engineering Design via Surrogate Modelling: A Practical Guide, John Wiley & Sons, India.
6.
Lanzi L., Giavotto V., 2006, Post-buckling optimization of composite stiffened panels: Computations and experiments, Composite Structures, 73, 2, 208-220.
7.
Leite I.T., Ferreira J.V., 2019, Proof of concept of passive twist angle control in small wind turbines (in Portuguese), Undergraduate Final Project, Federal University of Technology – Parana, Brazil.
8.
Maheri A., Noroozi S., Vinney J., 2007, Application of combined analytical/FEA coupled aero-structure simulation in design of wind turbine adaptive blades, Renewable Energy, 32, 12, 2011-2018.
9.
Manwell J.F., McGowan J.G., Rogers A.L., 2009, Aerodynamics of Wind Turbines, Wind Energy Explained: Theory, Design and Application, John Wiley & Sons Ltd., UK 10.
10.
Mueller J., 2012, Surrogate model algorithms for computationally expensive black-box global optimization problems, Doctoral Thesis, Tampere University of Technology, UK.
11.
Myers R.H., Montgomery D.C., Andersson-Cook C.M., 2008, Experimental Designs for Fitting Response Surfaces, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New Jersey, USA.
12.
Nik M.A., Fayazbakhsh K., Pasini D., Lessard L., 2014, A comparative study of metamodeling methods for the design optimization of variable stiffness composites, Composite Structures, 107, 494-501.
13.
Reddy J.N., 2003, Mechanics of Laminated Composite Plates and Shells: Theory and Analysis, Boca Raton, USA.
14.
Regis R.G., Schoemaker C.A., 2007, A stochastic radial basis function method for the global optimization of expensive functions, INFORMS Journal on Computing, 19, 4, 497-509.
15.
Veers P., Lobitz D., Bir G., 1998, Aeroelastic tailoring in wind-turbine blade applications, Windpower’98, American Wind Energy Association Meeting and Exhibition, Bakersfield, California, USA.
16.
Wang G., Shan S., 2007, Review of metamodeling techniques in support of engineering design optimization, Journal of Mechanical Design, 129, 4, 370-380.
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| ISSN: | 1429-2955 |
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