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contributor authorCampos, Damián Federico
contributor authorAjras, Andres Elías
contributor authorGoytiño, Lucas Guillermo
contributor authorPiovan, Marcelo Tulio
date accessioned2023-08-16T18:13:11Z
date available2023-08-16T18:13:11Z
date copyright3/8/2023 12:00:00 AM
date issued2023
identifier issn2377-2158
identifier othervvuq_008_01_011004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291645
description abstractThis paper is devoted to evaluating the quantification of uncertainty involved in the study of Aeolian vibrations of optical ground wire (OPGW) cable systems installed on overhead power transmission lines. The energy balance method (EBM) is widely used to estimate the severity of steady-state Aeolian vibrations. Although the EBM requires some experimental characterization of system parameters (as indicated by international standards), it is necessary to mention that such a procedure is connected with uncertainties which makes it difficult for the proper homologation of the cable systems. In this article, the parametric probabilistic approach is employed to quantify the level of uncertainty associated with the EBM in the study of Aeolian vibrations of OPGW. The relevant parameters of the EBM (damper properties, cable self-damping, and the power imparted by the wind) are assumed as random variables whose distribution is deduced by means of the maximum entropy principle. Then a Monte Carlo simulation is performed, and the input and output uncertainties are contrasted. Finally, a global sensitivity analysis is conducted to identify the Sobol' indices. Results indicate that parameters related to self-damping and damper are the most influential on uncertainty and output variability. In this sense, the present framework constitutes a powerful tool in the robust design of damper systems for OPGW cables.
publisherThe American Society of Mechanical Engineers (ASME)
titleUncertainties Propagation and Global Sensitivity Analysis of the Aeolian Vibration of OPGW Cables
typeJournal Paper
journal volume8
journal issue1
journal titleJournal of Verification, Validation and Uncertainty Quantification
identifier doi10.1115/1.4056976
journal fristpage11004-1
journal lastpage11004-9
page9
treeJournal of Verification, Validation and Uncertainty Quantification:;2023:;volume( 008 ):;issue: 001
contenttypeFulltext


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