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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Lifetime assessment for container ship by multimodal Gaidai risk evaluation method

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 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.

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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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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Novel design of rotary pontoon floating wind turbine reliability assessment by self-deconvolution method

Journal of Vibration and Control, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

As the offshore wind energy industrial sector develops dynamically towards its economic viability targets, it is important to continuously improve structural design, while increasing output and minimizing operational repair downtime. Large horizontal-axis turbines (HAWTs) are already commonplace they in process of being designed on a larger scale, which challenging. Vertical-axis (VAWTs), where tilt axis rotation not concern, constitute an alternative HAWTs field for floating design. This case study presents hydrodynamic loads analysis failure risk assessment novel cross-flow vertical Wind Energy Marine Unit (WEMU) with large rotor The primary goal this research was assess reliability WEMU given realistic environmental conditions. Environmental wave acting torus semi-submersible pontoon during had been modeled numerically. Subsequently, assessed, utilizing state-of-the-art self-deconvolution extrapolation scheme. Reliability prognostic results cross-validated versus existing four-parameter Weibull fit method. To summarize, presented combines design recently developed latter can be practical engineering use contemporary turbine

Language: Английский

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Emotional excess by multimodal Gaidai prognostics methodology, accounting for memory effects

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 192, P. 110383 - 110383

Published: May 16, 2025

Language: Английский

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