Shuttle tanker operational reliability study by Gaidai multivariate risk assessment method, utilizing deconvolution scheme

Transportation Research Interdisciplinary Perspectives, Год журнала: 2024, Номер 26, С. 101194 - 101194

Опубликована: Июль 1, 2024

FPSO (Floating Production, Storage and Offloading) or FLNG Liquefied Natural Gas) vessels produce store crude oil liquified natural gas before being transported by ST (Shuttle Tanker). Robust prediction of excessive mooring hawser stresses crucial for structural design operational safety. Offloading activities may result in line tensions, impacting environmental Current study employed ANSYS-AQWA software to simulate dynamics, subjected wind-wave hydrodynamic loads, given realistic in-situ conditions. State-of-the-art multi-dimensional risk assessment methodology, presented this work based on direct MC (Monte Carlo) simulations, however, it is equally applicable measured data. Advocated methodology effectively utilizes underlying dataset, offering accurate failure/damage assessment. aims benchmark recently developed multivariate Gaidai approach, allowing the straightforward yet efficient failure damage risks nonlinear dynamic offshore/naval system as a whole. Primary benefit proposed lies its multi-dimensionality, can encompass virtually infinite number system's dimensions/components, each having distinct physical dimension. In contrast, traditional reliability methods are usually limited maximum two-dimensional systems. Novel deconvolution extrapolation scheme offers additional advantage, non-parametrical nature, opposed existing parametric techniques.

Язык: Английский

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Panamax cargo-vessel excessive-roll dynamics based on novel deconvolution method

Probabilistic Engineering Mechanics, Год журнала: 2024, Номер 77, С. 103676 - 103676

Опубликована: Июль 1, 2024

Язык: Английский

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Novel multivariate design concept for floating wind turbines by Gaidai multivariate reliability method and deconvolution scheme

Journal of low frequency noise, vibration and active control, Год журнала: 2024, Номер unknown

Опубликована: Авг. 22, 2024

Development of novel risk and reliability assessment methods is intended to support safer construction offshore structures, subjected environmental wave loads. Current study investigated 10-MW FWT (i.e., Floating Wind Turbine), operating under realistic conditions. While increasing safety, enhanced may eventually help reduce manufacturing maintenance costs. Excessive structural dynamics being usually caused by stressors, acting on system. Environmental loads resulting from ambient wind motions are typical for structures. work advocates a methodology that allows reliable forecasting failure/damage risks, arising excessive dynamics. Recently developed Gaidai multivariate along with state-of-the-art deconvolution method had been employed. Unlike existing approaches such as Weibull-type, GP Generalized Pareto), POT Peaks Over the Threshold), etc., recommended does not rely any pre-assumed functional class, when extrapolating failure probability tail. Practical advantages suggested combined scheme over, is, 4-parameter Weibull’s extrapolation demonstrated. Suggested makes effective use even limited underlying datasets, enabling robust accurate projections multidimensional system risks. Overall methodological performance suggests numerically stable extreme forecasts bending moments might be obtained, utilizing methodology. Deconvolution approach more than parametric techniques, due its non-parametric nature.

Язык: Английский

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Global health risks due to the COVID-19 epidemic by Gaidai reliability method

Science Talks, Год журнала: 2024, Номер 10, С. 100366 - 100366

Опубликована: Май 23, 2024

Accurate estimation of epidemic outbreak risks at any given time horizon, and in national province interest for COVID-19 (novel coronavirus disease, SARS-COV-2), a contagious is practical importance. This study proposes novel bio health system's spatiotemporal reliability method, applicable to multi-regional systems. approach enables accurate future risks, suitable multiregional biological Daily numbers recorded patients two different countries were chosen this study. aimed benchmark state-of-the-art by extracting necessary system information from nationally observed patient numbers, while taking into account territorial mapping. Proper confidence bands have been estimated predicted probability levels. Suggested multivariate methodology may be used various public applications, based on available situ clinical survey data. analyzed epidemiological dynamics, total daily-recorded patients. It recommended the percentage infected patients, with respect local population tested. The suggested being general well latter task.

Язык: Английский

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ocean windspeeds forecast by Gaidai multivariate risk assessment method, utilizing deconvolution scheme

Results in Engineering, Год журнала: 2024, Номер 23, С. 102796 - 102796

Опубликована: Авг. 28, 2024

Язык: Английский

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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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State-of-the-art Gaidai hypersurface risk assessment for semi-submersible wind turbines, accounting for memory effects

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100946 - 100946

Опубликована: Фев. 1, 2025

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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