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dc.contributor.authorHu, Weifei
dc.contributor.authorChen, Weiyi
dc.contributor.authorWang, Xiaobo
dc.contributor.authorJiang, Zhiyu
dc.contributor.authorWang, Yeqing
dc.contributor.authorVerma, Amrit
dc.contributor.authorTeuwen, Julie JE
dc.date.accessioned2023-06-27T11:33:48Z
dc.date.available2023-06-27T11:33:48Z
dc.date.created2021-06-12T10:13:33Z
dc.date.issued2021
dc.identifier.citationHu, W., Chen, W., Wang, X., Jiang, Z., Wang, Y., Verma, A. & Teuwen, J. J. (2021). A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion. Renewable Energy, 170, 236-250.en_US
dc.identifier.issn1879-0682
dc.identifier.urihttps://hdl.handle.net/11250/3073477
dc.descriptionAuthor's accepted manuscripten_US
dc.description.abstractThe rain-induced fatigue damage in the wind turbine blade coating has attracted increasing attention owing to significant repair and maintenance costs. The present paper develops an improved computational framework for analyzing the wind turbine blade coating fatigue induced by rain erosion. The paper first presents an extended stochastic rain field simulation model that considers different raindrop shapes (spherical, flat, and spindle), raindrop sizes, impact angles, and impact speeds. The influence of these raindrop characteristics on the impact stress of the blade coating is investigated by a smoothed particle hydrodynamics approach. To address the expensive computational time, a stress interpolation method is proposed to calculate the impact stress of all raindrops in a random rain event. Furthermore, coating fatigue analysis is performed by including the fatigue crack initiation in the incubation period and the fatigue crack propagation in the mass-loss-rate increasing period due to raindrop impact. Finally, the proposed computational framework is verified by comparing the estimated fatigue life with those obtained in literature. The results from the study show that by incorporating the statistics of rainfall data, the proposed framework could be used to calculate the expected fatigue life of the blade coating due to rain erosion.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA computational framework for coating fatigue analysis of wind turbine blades due to rain erosionen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2021 Elsevier Ltd.en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber236-250en_US
dc.source.volume170en_US
dc.source.journalRenewable Energyen_US
dc.identifier.doihttps://doi.org/10.1016/j.renene.2021.01.094
dc.identifier.cristin1915391
dc.relation.projectNational Natural Science Foun- dation of China : 51905475en_US
dc.relation.projectNational Key R&D Program of China : 019YFB1705200en_US
dc.relation.projectNational Key R&D Program of China: 018YFB1201802- 1en_US
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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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