2023
DOI: 10.1016/j.marstruc.2023.103465
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A computationally efficient finite element model for the analysis of the non-linear bending behaviour of a dynamic submarine power cable

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Cited by 8 publications
(3 citation statements)
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“…Fretting and wear damages to the conductors' wires, caused primarily by cyclic bending loads, have been recognized as a challenge for marine cables with metallic armor [18][19][20][21][22][23]. The current study showed that this is also challenging for marine cables without metallic armor.…”
Section: Discussionmentioning
confidence: 65%
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“…Fretting and wear damages to the conductors' wires, caused primarily by cyclic bending loads, have been recognized as a challenge for marine cables with metallic armor [18][19][20][21][22][23]. The current study showed that this is also challenging for marine cables without metallic armor.…”
Section: Discussionmentioning
confidence: 65%
“…They also provide mechanical properties that reduce the risk of structural integrity degradation if appropriately designed, such as fatigue, fretting, and wear caused by cyclic loading conditions from the cable's motions. Many studies in the literature have presented results from numerical simulations and experiments of armored dynamic power cables [18][19][20][21][22][23]. Most of them emphasized bending-induced loading conditions and fatigue experiments since this loading mode causes wear and fretting damage to the cable's parts and components.…”
Section: Introductionmentioning
confidence: 99%
“…Their method was based on the homogenization theory of periodic structures which exploited the helical symmetry of the wire. Ménard and Cartraud [33] applied the method to simulate the local stress state in a three-core cable subjected to cyclic bending loading. The development of specialized FEM formulations and hierarchical multilayer models that incorporate concepts of homogenization and advanced friction models enabled the creation of very efficient and highly accurate analysis programs such as Helica (DNV [34]) and UFLEX (SINTEF [35]).…”
Section: Introductionmentioning
confidence: 99%