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    Long Term Extreme Load Prediction of Spar and Semisubmersible Floating Wind Turbines Using the Environmental Contour Method

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 002::page 21601
    Author:
    Karmakar, D.
    ,
    Bagbanci, Hasan
    ,
    Guedes Soares, C.
    DOI: 10.1115/1.4032099
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The prediction of extreme loads for the offshore floating wind turbine is analyzed based on the inverse reliability technique. The inverse reliability approach is in general used to establish the design levels associated with the specified probability of failure. The present study is performed using the environmental contour (EC) method to estimate the longterm joint probability distribution of extreme loads for different types of offshore floating wind turbines. The analysis is carried out in order to predict the outofplane bending moment (OoPBM) loads at the blade root and tower base moment (TBM) loads for a 5 MW offshore floating wind turbine of different floater configuration. The spartype and semisubmersible type offshore floating wind turbines are considered for the analysis. The FAST code is used to simulate the wind conditions for various return periods and the design loads of various floating wind turbine configurations. The extreme and operation situation of the spartype and semisubmersible type offshore floating wind turbine are analyzed using onedimensional (1D) and twodimensional (2D)EC methods for different return periods. The study is useful to predict longterm design loads for offshore wind turbines without requiring excessive computational effort.
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      Long Term Extreme Load Prediction of Spar and Semisubmersible Floating Wind Turbines Using the Environmental Contour Method

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/162258
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    • Journal of Offshore Mechanics and Arctic Engineering

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    contributor authorKarmakar, D.
    contributor authorBagbanci, Hasan
    contributor authorGuedes Soares, C.
    date accessioned2017-05-09T01:32:22Z
    date available2017-05-09T01:32:22Z
    date issued2016
    identifier issn0892-7219
    identifier otheromae_138_02_021601.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/162258
    description abstractThe prediction of extreme loads for the offshore floating wind turbine is analyzed based on the inverse reliability technique. The inverse reliability approach is in general used to establish the design levels associated with the specified probability of failure. The present study is performed using the environmental contour (EC) method to estimate the longterm joint probability distribution of extreme loads for different types of offshore floating wind turbines. The analysis is carried out in order to predict the outofplane bending moment (OoPBM) loads at the blade root and tower base moment (TBM) loads for a 5 MW offshore floating wind turbine of different floater configuration. The spartype and semisubmersible type offshore floating wind turbines are considered for the analysis. The FAST code is used to simulate the wind conditions for various return periods and the design loads of various floating wind turbine configurations. The extreme and operation situation of the spartype and semisubmersible type offshore floating wind turbine are analyzed using onedimensional (1D) and twodimensional (2D)EC methods for different return periods. The study is useful to predict longterm design loads for offshore wind turbines without requiring excessive computational effort.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleLong Term Extreme Load Prediction of Spar and Semisubmersible Floating Wind Turbines Using the Environmental Contour Method
    typeJournal Paper
    journal volume138
    journal issue2
    journal titleJournal of Offshore Mechanics and Arctic Engineering
    identifier doi10.1115/1.4032099
    journal fristpage21601
    journal lastpage21601
    identifier eissn1528-896X
    treeJournal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian