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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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