IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i6p1346-d148966.html
   My bibliography  Save this article

Comparison of Shell and Solid Finite Element Models for the Static Certification Tests of a 43 m Wind Turbine Blade

Author

Listed:
  • Mathijs Peeters

    (Department of Materials, Textiles and Chemical Engineering, Ghent University, Tech Lane Ghent Science Park–Campus A, Technologiepark-Zwijnaarde 903, 9052 Zwijnaarde, Belgium)

  • Gilberto Santo

    (Department of Flow, Heat and Combustion Mechanics, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium)

  • Joris Degroote

    (Department of Flow, Heat and Combustion Mechanics, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium)

  • Wim Van Paepegem

    (Department of Materials, Textiles and Chemical Engineering, Ghent University, Tech Lane Ghent Science Park–Campus A, Technologiepark-Zwijnaarde 903, 9052 Zwijnaarde, Belgium)

Abstract

A commercial 43 m wind turbine blade was tested under static loads. During these tests, loads, displacements, and local strains were recorded. In this work, the blade was modeled using the finite element method. Both a segment of the spar structure and the full-scale blade were modeled. In both cases, conventional outer mold layer shell and layered solid models were created by means of an in-house developed software tool. First, the boundary conditions and settings for modeling the tests were explored. Next, the behavior of a spar segment under different modeling methods was investigated. Finally, the full-scale blade tests were conducted. The resulting displacements and longitudinal and transverse strains were investigated. It was found that for the considered load case, the differences between the shell and solid models are limited. Thus, it is concluded that the shell representation is sufficiently accurate.

Suggested Citation

  • Mathijs Peeters & Gilberto Santo & Joris Degroote & Wim Van Paepegem, 2018. "Comparison of Shell and Solid Finite Element Models for the Static Certification Tests of a 43 m Wind Turbine Blade," Energies, MDPI, vol. 11(6), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1346-:d:148966
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/6/1346/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/6/1346/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shah, Owaisur Rahman & Tarfaoui, Mostapha, 2016. "The identification of structurally sensitive zones subject to failure in a wind turbine blade using nodal displacement based finite element sub-modeling," Renewable Energy, Elsevier, vol. 87(P1), pages 168-181.
    2. Xiao Chen & Wei Zhao & Xiao Lu Zhao & Jian Zhong Xu, 2014. "Failure Test and Finite Element Simulation of a Large Wind Turbine Composite Blade under Static Loading," Energies, MDPI, vol. 7(4), pages 1-24, April.
    3. Ji, Y.M. & Han, K.S., 2014. "Fracture mechanics approach for failure of adhesive joints in wind turbine blades," Renewable Energy, Elsevier, vol. 65(C), pages 23-28.
    4. Haselbach, P.U. & Bitsche, R.D. & Branner, K., 2016. "The effect of delaminations on local buckling in wind turbine blades," Renewable Energy, Elsevier, vol. 85(C), pages 295-305.
    5. Yang, Jinshui & Peng, Chaoyi & Xiao, Jiayu & Zeng, Jingcheng & Yuan, Yun, 2012. "Application of videometric technique to deformation measurement for large-scale composite wind turbine blade," Applied Energy, Elsevier, vol. 98(C), pages 292-300.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Willberg & Rakesh Ravi & Johannes Rieke & Falk Heinecke, 2021. "Validation of a 20 m Wind Turbine Blade Model," Energies, MDPI, vol. 14(9), pages 1-49, April.
    2. Jinghua Lin & You-lin Xu & Yong Xia, 2019. "Structural Analysis of Large-Scale Vertical Axis Wind Turbines Part II: Fatigue and Ultimate Strength Analyses," Energies, MDPI, vol. 12(13), pages 1-18, July.
    3. Kangqi Tian & Li Song & Yongyan Chen & Xiaofeng Jiao & Rui Feng & Rui Tian, 2022. "Stress Coupling Analysis and Failure Damage Evaluation of Wind Turbine Blades during Strong Winds," Energies, MDPI, vol. 15(4), pages 1-19, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenjie Wang & Yu Xue & Chengkuan He & Yongnian Zhao, 2022. "Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades," Energies, MDPI, vol. 15(15), pages 1-31, August.
    2. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    3. Shah, Owaisur Rahman & Tarfaoui, Mostapha, 2016. "The identification of structurally sensitive zones subject to failure in a wind turbine blade using nodal displacement based finite element sub-modeling," Renewable Energy, Elsevier, vol. 87(P1), pages 168-181.
    4. Zuo, Yangjie & Montesano, John & Singh, Chandra Veer, 2018. "Assessing progressive failure in long wind turbine blades under quasi-static and cyclic loads," Renewable Energy, Elsevier, vol. 119(C), pages 754-766.
    5. Ossai, Chinedu I., 2017. "Optimal renewable energy generation – Approaches for managing ageing assets mechanisms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 269-280.
    6. Zhou, H.F. & Zheng, J.F. & Xie, Z.L. & Lu, L.J. & Ni, Y.Q. & Ko, J.M., 2017. "Temperature effects on vision measurement system in long-term continuous monitoring of displacement," Renewable Energy, Elsevier, vol. 114(PB), pages 968-983.
    7. Jianhua Xu & Zhonghua Han & Xiaochao Yan & Wenping Song, 2019. "Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family," Energies, MDPI, vol. 12(17), pages 1-24, August.
    8. Lux, Philipp & Cassano, Alessandro G. & Johnson, Stephen B. & Maiaru, Marianna & Stapleton, Scott E., 2020. "Adhesive curing cycle time optimization in wind turbine blade manufacturing," Renewable Energy, Elsevier, vol. 162(C), pages 397-410.
    9. Patrick D. Moroney & Amrit Shankar Verma, 2023. "Durability and Damage Tolerance Analysis Approaches for Wind Turbine Blade Trailing Edge Life Prediction: A Technical Review," Energies, MDPI, vol. 16(24), pages 1-33, December.
    10. Wen Xin & Hui Li & Xiaolong Lu & Bo Zhou, 2023. "Study on the Effect of Initial Delamination on Tensile Behavior of Offshore Wind Turbine Blade Spar Cap," Energies, MDPI, vol. 16(8), pages 1-19, April.
    11. Yang, Bin & Sun, Dongbai, 2013. "Testing, inspecting and monitoring technologies for wind turbine blades: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 515-526.
    12. Xiaowen Song & Zhitai Xing & Yan Jia & Xiaojuan Song & Chang Cai & Yinan Zhang & Zekun Wang & Jicai Guo & Qingan Li, 2022. "Review on the Damage and Fault Diagnosis of Wind Turbine Blades in the Germination Stage," Energies, MDPI, vol. 15(20), pages 1-17, October.
    13. Xiaoxun, Zhu & Xinyu, Hang & Xiaoxia, Gao & Xing, Yang & Zixu, Xu & Yu, Wang & Huaxin, Liu, 2022. "Research on crack detection method of wind turbine blade based on a deep learning method," Applied Energy, Elsevier, vol. 328(C).
    14. Carlos Quiterio Gómez Muñoz & Fausto Pedro García Márquez, 2016. "A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines," Energies, MDPI, vol. 9(1), pages 1-14, January.
    15. Andrius Kulsinskas & Petar Durdevic & Daniel Ortiz-Arroyo, 2021. "Internal Wind Turbine Blade Inspections Using UAVs: Analysis and Design Issues," Energies, MDPI, vol. 14(2), pages 1-19, January.
    16. Murray, Robynne E. & Roadman, Jason & Beach, Ryan, 2019. "Fusion joining of thermoplastic composite wind turbine blades: Lap-shear bond characterization," Renewable Energy, Elsevier, vol. 140(C), pages 501-512.
    17. Xianyou Wu & Kai Feng & Qing’an Li, 2024. "A Numerical Method for the Dynamics Analysis of Blade Fracture Faults in Wind Turbines Using Geometrically Exact Beam Theory and Its Validation," Energies, MDPI, vol. 17(4), pages 1-18, February.
    18. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    19. Alfredo Alcayde & Quetzalcoatl Hernandez-Escobedo & David Muñoz-Rodríguez & Alberto-Jesus Perea-Moreno, 2022. "Worldwide Research Trends on Optimizing Wind Turbine Efficiency," Energies, MDPI, vol. 15(18), pages 1-7, September.
    20. Li, Jimeng & Chen, Xuefeng & Du, Zhaohui & Fang, Zuowei & He, Zhengjia, 2013. "A new noise-controlled second-order enhanced stochastic resonance method with its application in wind turbine drivetrain fault diagnosis," Renewable Energy, Elsevier, vol. 60(C), pages 7-19.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1346-:d:148966. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.