Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles

<p>This work presents a methodology to evaluate the effect of wrinkle defects in the stiffness response of laminate characteristic of wind turbine blades. The assessment is carried out through numerical models and experimental tests with coupon specimens embedded with artificial wrinkles. Spec...

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Main Authors: H. G. Mendonça, L. P. Mikkelsen, X. Chen, J. Bode, F. Mortensen, P. U. Haselbach, K. Branner
Format: Article
Language:English
Published: Copernicus Publications 2022-12-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/7/2513/2022/wes-7-2513-2022.pdf
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author H. G. Mendonça
H. G. Mendonça
L. P. Mikkelsen
X. Chen
J. Bode
F. Mortensen
P. U. Haselbach
K. Branner
author_facet H. G. Mendonça
H. G. Mendonça
L. P. Mikkelsen
X. Chen
J. Bode
F. Mortensen
P. U. Haselbach
K. Branner
author_sort H. G. Mendonça
collection DOAJ
description <p>This work presents a methodology to evaluate the effect of wrinkle defects in the stiffness response of laminate characteristic of wind turbine blades. The assessment is carried out through numerical models and experimental tests with coupon specimens embedded with artificial wrinkles. Specimens are manufactured with two types of defects, prone to arising along the manufacturing process of wind turbine blades. Image-based numerical models were built to enclose the actual features of the cross-sectional wrinkling of each defect type. Experimental quasi-static tension and compression tests were performed, where extensometers collect the strain distribution about the wrinkle section as around the flat section of the test specimens. Two-dimensional finite element simulations carried out in Abaqus/Standard captured the stiffness behaviour of the two types of wrinkles. The numerical approach is validated against the quasi-static tests retrieving a fair agreement with experimental data. A significant knock-down in the stiffness response was found due to the wrinkle with larger aspect ratio of amplitude / half-wavelength.</p>
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spelling doaj.art-f8e0667c53e14164a4bbefbebb327afc2022-12-22T13:10:08ZengCopernicus PublicationsWind Energy Science2366-74432366-74512022-12-0172513252510.5194/wes-7-2513-2022Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinklesH. G. Mendonça0H. G. Mendonça1L. P. Mikkelsen2X. Chen3J. Bode4F. Mortensen5P. U. Haselbach6K. Branner7Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, DenmarkVestas Wind Systems, Hedeager 42, 8200 Aarhus, DenmarkDepartment of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, DenmarkDepartment of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, DenmarkVestas Wind Systems, Hedeager 42, 8200 Aarhus, DenmarkVestas Wind Systems, Hedeager 42, 8200 Aarhus, DenmarkDepartment of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, DenmarkDepartment of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark<p>This work presents a methodology to evaluate the effect of wrinkle defects in the stiffness response of laminate characteristic of wind turbine blades. The assessment is carried out through numerical models and experimental tests with coupon specimens embedded with artificial wrinkles. Specimens are manufactured with two types of defects, prone to arising along the manufacturing process of wind turbine blades. Image-based numerical models were built to enclose the actual features of the cross-sectional wrinkling of each defect type. Experimental quasi-static tension and compression tests were performed, where extensometers collect the strain distribution about the wrinkle section as around the flat section of the test specimens. Two-dimensional finite element simulations carried out in Abaqus/Standard captured the stiffness behaviour of the two types of wrinkles. The numerical approach is validated against the quasi-static tests retrieving a fair agreement with experimental data. A significant knock-down in the stiffness response was found due to the wrinkle with larger aspect ratio of amplitude / half-wavelength.</p>https://wes.copernicus.org/articles/7/2513/2022/wes-7-2513-2022.pdf
spellingShingle H. G. Mendonça
H. G. Mendonça
L. P. Mikkelsen
X. Chen
J. Bode
F. Mortensen
P. U. Haselbach
K. Branner
Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
Wind Energy Science
title Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
title_full Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
title_fullStr Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
title_full_unstemmed Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
title_short Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles
title_sort methodology to predict stiffness knock down in laminates for wind turbine blades with artificial wrinkles
url https://wes.copernicus.org/articles/7/2513/2022/wes-7-2513-2022.pdf
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