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dc.contributor.authorDong, Wenbin
dc.contributor.authorMoan, Torgeir
dc.contributor.authorGao, Zhen
dc.date.accessioned2018-04-12T07:29:20Z
dc.date.available2018-04-12T07:29:20Z
dc.date.created2014-03-12T14:15:31Z
dc.date.issued2013
dc.identifier.isbn9781138000865
dc.identifier.urihttp://hdl.handle.net/11250/2493756
dc.description.abstractThis paper describes a method to perform reliability-based gear contact fatigue analysis for wind turbines considering the long-term stochastic wind conditions. A simplified predictive subsurface pitting model for estimating gear fatigue lives is applied to establish the “so-called” limit state function. The National Renewable Energy Laboratory (NREL)’s 750kW land-based wind turbine is used to perform time domain simulations considering all wind speeds that the turbine will experience. The long-term distribution of the wind speed is described by a generalized gamma distribution. The time series of the torques in the main shaft are obtained from the global dynamic response analysis of the wind turbine. The time series of the gear contact forces are obtained from the dynamic analysis of the gearbox through multi-body simulations. The 2- parameter Weibull distribution is used to fit the long-term probabilistic distribution of the gear tooth contact pressures. Finally the fatigue reliability assessment is performed and the sensitivity of the reliability index on the selected random parameters is studied.nb_NO
dc.language.isoengnb_NO
dc.publisherCRC Pressnb_NO
dc.relation.ispartofSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures. Proceedings of the 11th International Conference on Structural Safety and Reliability, ICISSAR 2013, New York, 16-20 June, 2013
dc.titleReliability-based Gear Contact Fatigue Analysis for Wind Turbines under Stochastic Dynamic Conditionsnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber5571-5578nb_NO
dc.identifier.cristin1121721
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2013 by CRC Pressnb_NO
cristin.unitcode194,64,20,0
cristin.unitnameInstitutt for marin teknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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