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

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100946 - 100946

Published: Feb. 1, 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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Limit hypersurface state-of-the-art damage assessment approach for a galloping energy harvester, accounting for memory effects

Journal of Vibration and Control, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 13, 2024

Energy harvesters (i.e., EH) constituting nowadays an essential part of renewable energy engineering; hence, apart from numerical modeling, experimental studies are necessary, reliable input for durable design and structural safety assessments. In the current study, galloping EH’s performance was analyzed, utilizing extensive laboratory wind-tunnel tests, conducted under realistic windspeed conditions. The novel multivariate risks assessment methodology, presented in study is particularly feasible multi-dimensional nonlinear EH dynamic systems, that have been either directly Monte Carlo MC) numerically simulated or physically measured over a representative temporal lapse, providing piecewise ergodic time series. As shown this analysis, suggested methodology accurately enables accurate predictions system’s failure/hazard damage risks, based on laboratory-measured dynamics. Furthermore, inter-correlations between various systems’ critical components not always easily handled by classic risk techniques, when dealing with high-dimensional raw primary goal validation benchmarking which can extract pertinent information, contained within dynamics, lab-recorded histories. conclusion, hypersurface generic, additional capability to accurately, yet efficiently predict damage/failure variety multidimensional systems. Relatively narrow confidence bands reported forecasted failure levels, indicating both robustness setup, as well practical virtues advocated Gaidai methodology. Note being mathematically exact does rely pre-assumptions it general purpose.

Language: Английский

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Multivariate risk assessment for offshore structures by Gaidai risk evaluation method under an accumulation of fatigue damage, utilizing novel deconvolution scheme

Structures, Journal Year: 2024, Volume and Issue: 70, P. 107691 - 107691

Published: Nov. 1, 2024

Language: Английский

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Onboard multivariate hazard assessment for UIKKU chemical tanker by Gaidai reliability method

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Oct. 7, 2024

The current study outlines a novel multimodal structural reliability methodology, suitable for naval dynamic systems, that are either numerically simulated, or directly physically measured. Cross-correlations between the system's principal/key dimensions/components, along with high dimensionality of complex not easily addressed by existing methods, mostly univariate bivariate. objective this had been to apply reliability/hazard assessment methodology UIKKU chemical tanker onboard measurements demonstrate efficiency proposed methodology. Current investigation utilized measured ice loadings, exerted on hull and propulsion devices during its Arctic voyage. Onboard data recordings then were interpreted gain knowledge about load levels. instrumented so ice-induced loads/stresses vessel shell plating monitored at various key locations, both in longitudinal as well vertical directions, vessel's hull. Longitudinal bending stresses several locations accelerations analyze global behaviour when colliding e.g., moderately heavy ridges. In addition onboard, Russian partners icebreaker Capitan Dranitsyn real-time measure strains/stresses within belt grillage, located bow. Icebreaker acted escort whole Obtained results may be harmonize IACS Polar ship rules. study, measuring system results, voyage have briefly represented.

Language: Английский

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Pacific Ocean Windspeeds Prediction by Gaidai Multivariate Risks Evaluation Method, Utilizing Self-Deconvolution

ASME Open Journal of Engineering, Journal Year: 2024, Volume and Issue: 3

Published: Jan. 1, 2024

Abstract The current study advances research on the consequences of global climate change by utilizing novel Gaidai multivariate risks evaluation methodology to conduct spatiotemporal analysis areal windspeeds. Multidimensional structural and environmental dynamic systems that have been either physically observed or numerically simulated over a representative time-lapse are particularly suitable for methodology. Current also presents non-parametric deconvolution extrapolation method. As this has shown, given in situ input, it is possible accurately predict system hazard risks, based even limited underlying dataset. Furthermore, because their complex nonlinear cross-correlations between various system-critical dimensions components large dimensionality, difficult handle using traditional methods evaluating risks. In North Pacific, close Hawaiian Islands, NOAA buoys gathered raw wind speed data, which utilized study. Areal ocean speeds constitute quite challenging analyze its nonlinear, multidimensional, cross-correlated nature. Global warming had impacts windspeeds recent decade. Developing state-of-the-art risk principal component modern offshore light adverse weather. advocated risk/hazard assessment approach may be used resilient island cities design, especially those near shore hence exposed extreme

Language: Английский

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Multivariate Gaidai reliability methodology for marine riser dynamics in the Red Sea with memory effects included

Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119437 - 119437

Published: Oct. 13, 2024

Language: Английский

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Gaidai multimodal risk evaluation methodology based on cargo vessel onboard measurements, given structural damage accumulation

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Oct. 23, 2024

Intercontinental transportation relies heavily on medium-to-large cargo vessels, constituting an essential component of the global trade. Thus, it is paramount importance for trading companies, engineers, designers to advance innovative, economically viable logistical and structural schemes, that are safe reliable. Full-scale onboard recorded data, when available, serves as valuable diagnostic tool hard overestimate. An operating medium-size ship TEU2800 had been selected current investigation. hull dynamics by excessive deck panel strains, occurring during ship's intercontinental sailings through potentially adverse weather conditions. Inherent risks damaging vessel losing containers, caused motions/loads, being one primary concerns industry. Primary novelty this investigation twofold: first, a unique measured representative dataset analyzed; second, novel multimodal reliability methodology employed analyzed raw data. Presented study advocates state-of-the-art Gaidai spatiotemporal assessment methodology, enabling conservative hazard/damage/failure risk forecasting nonstationary, nonlinear, dynamics, under accumulated fatigue damage. Note advocated evaluation generic nature may be straightforwardly applied wide range contemporary complex naval, offshore, marine systems, hence not limited vessels only.

Language: Английский

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