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contributor authorShabakhty, Naser
contributor authorKhansari, Arash
date accessioned2019-06-08T09:29:08Z
date available2019-06-08T09:29:08Z
date copyright3/25/2019 12:00:00 AM
date issued2019
identifier issn0892-7219
identifier otheromae_141_6_061602.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4257679
description abstractJacket structures have been widely used in oil and gas industry and are increasingly becoming competitive as a support structure of wind turbines at different water depths. These types of structures usually fix in transition or shallow waters where numerous field observations and experiments have shown that water particles tend to exhibit non-Gaussian characteristics. However, current engineering practice ignores the wave nonlinearity for the analysis and design of these structures. The application of linear irregular models might result in considerable uncertainties in the obtained wave loads and consequently the dynamic response and thus it is highly questionable. Therefore, it is crucial to calculate the dynamic response of jacket structures under both linear and nonlinear wave models to investigate the validity of linear wave models in different sea states. In this paper, the finite element (FE) model of a jacket structure located in Persian Gulf (SP17 jacket) is setup and applied to perform a comparative study of the dynamic response to both linear and weakly nonlinear random waves. The fatigue life of the jacket structure is then calculated under both wave models. This paper will substantially improve the understanding of the dynamic response of jacket structures under fatigue damage.
publisherThe American Society of Mechanical Engineers (ASME)
titleFatigue Analysis of a Jacket Structure to Linear and Weakly Nonlinear Random Waves
typeJournal Paper
journal volume141
journal issue6
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.4042946
journal fristpage61602
journal lastpage061602-11
treeJournal of Offshore Mechanics and Arctic Engineering:;2019:;volume( 141 ):;issue: 006
contenttypeFulltext


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