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

IET Intelligent Transport Systems, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 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.

Language: Английский

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Multivariate spatiotemporal windspeeds prognostics across parts of Pacific Ocean using the Gaidai risk assessment approach

Spatial Information Research, Journal Year: 2025, Volume and Issue: 33(1)

Published: Jan. 22, 2025

Language: Английский

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

Applications in Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 100209 - 100209

Published: Feb. 1, 2025

Language: 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, Journal Year: 2025, Volume and Issue: unknown

Published: March 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.

Language: Английский

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Bivariate validation of the Gaidai natural hazard evaluation method for climate dynamics

Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119630 - 119630

Published: Oct. 30, 2024

Language: 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, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 10, 2025

Language: Английский

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Multimodal Gaidai State‐of‐the‐Art Limit Hypersurface Methodology for Container Vessels With Multiple Failure Modes

IET Intelligent Transport Systems, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT This case study presents state‐of‐the‐art, multimodal structural reliability and risk evaluation methodology, particularly suitable for naval architecture, transportation marine engineering applications. Existing methods do not easily tackle systems with a number of critical components higher than 2, while the advocated methodology has no limitations on system's dimensions, parts or components. The 4400 TEU container vessel's onboard measured deck panel stresses raw data, collected during numerous trans‐Atlantic crossings, was analysed. Risk ship hull damage caused by excessive whipping (slamming springing) wave loads, representing types highly nonlinear wave‐induced vibrations, are among primary safety concerns contemporary industry. It is often challenging to accurately forecast hot‐spot stresses, possessing complex nonlinear, nonstationary properties. proposed hypersurface method fully accounts large components, as well dynamic nonlinearities. Lab testing may be disputed, obtained measurements will depend biased incident properties model scales. As result, dataset, from particular cargo ship, operating in North Atlantic provides especially valuable insights into an overall vessel durability reliability. investigation aimed at providing generic state‐of‐the‐art enabling accurate extraction pertinent information about dynamics, e.g., derived sensor‐recorded time histories. Utilising failure, hazard risks effectively yet forecasted, based spatially distributed stresses. presented hazards systems, having virtually unlimited numbers principal/key made use full scale kindly provided Det Norske Veritas, Oslo, Norway (DNV), which commercially its own.

Language: Английский

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Prognostics for respiratory epidemic dynamics by multivariate Gaidai risk assessment methodology

Intelligence-Based Medicine, Journal Year: 2024, Volume and Issue: 10, P. 100173 - 100173

Published: Jan. 1, 2024

Language: Английский

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