Design prognostics for 4400 TEU container vessel by multi‐variate Gaidai reliability approach

IET Intelligent Transport Systems, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

Abstract This case study introduces an innovative multivariate methodology for assessing the lifetime of marine engineering systems, specifically in cargo vessel transportation. The analysis focused on stress data collected onboard a 4400 TEU container during multiple trans‐Atlantic voyages. One major challenges transport lies mitigating risk loss due to excessive whipping loads. Accurate prediction extreme levels deck panels remains difficult, primarily because nonlinear and non‐stationary nature wave ship motion interactions. Higher‐order dynamic effects, such as second‐ third‐order responses, often become significant when ships operate under adverse environmental conditions, amplifying influences. Laboratory simulations, constrained by characteristics scale similarity issues, may not always provide reliable results. Consequently, from vessels navigating weather conditions serves critical resource comprehensive assessment. primary goal this was validate demonstrate effectiveness novel evaluation approach, leveraging measurements areal pressure core dataset. Gaidai proved be robust tool failure, hazard, damage risks complex, panel hull systems.

Язык: Английский

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Lifetime assessment for container ship by multimodal Gaidai risk evaluation method

Deleted Journal, Год журнала: 2025, Номер 2(1)

Опубликована: Янв. 6, 2025

This study presents a novel lifetime assessment technique that may be used in cargo vessel transportation marine engineering applications. onboard measured 4400 TEU container ship panel stress data was analyzed, the during numerous trans-Atlantic crossings. The risk of loss caused by excessive whipping loads is one key issues with transportation. It challenging to predict accuracy deck stresses due complex nonlinear and nonstationary properties wave motions. 2nd higher order motion effects are typically observed when sailing severe, stormy environment, influence nonlinearity grows noticeably. Depending on flow characteristics similarity ratios employed, laboratory testing also dispute. Because this, information acquired from ships operating extreme weather conditions offers unique insight into risks evaluation, as whole. highlights multidimensional reliability approach, based inherent qualities multivariate raw underlying dataset itself. main objective current had been benchmark Gaidai using areal pressure dynamic system dataset. evaluation methodology enabled efficient failure, hazard or damage for variety non-linear hull systems.

Язык: Английский

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Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters

Applications in Engineering Science, Год журнала: 2025, Номер unknown, С. 100209 - 100209

Опубликована: Фев. 1, 2025

Язык: Английский

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State-of-the-art multivariate lifetime assessment methodology for offshore renewable energy systems, utilizing novel deconvolution extrapolation scheme

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Green, renewable energy attracts growing popularity as global attention shifts toward carbon-neutral technologies. One such viable alternative is offshore wind power, harvested by FOWTs (Floating Offshore Wind Turbines). In the contemporary business, play a key role, generating industrial volumes of clean electricity. Accurate operational life assessment FOWT structure critical design and technical safety concern, since excessive environmental loads may lead to structural damage. Utilizing OpenFAST (Fatigue, Aerodynamics, Structures Turbulence) aeroelastic simulator, nonlinear reactions could be modelled accurately. The current study introduces state-of-the-art reliability lifetime approach, intended serve designers when evaluating risks, given in-situ loading patterns. primary benefits recommended approach lie within its capacity address dynamic systems’ high-dimensionality, along with complex cross-correlations between system’s components. A novel deconvolution extrapolation scheme has been employed obtain conservative values. advantage above existing parametric methods, widely used in studies, non-parametric feature, that increases accuracy forecasts.

Язык: Английский

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Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method

Mechanics Based Design of Structures and Machines, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Апрель 10, 2025

Язык: Английский

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