Structures, Год журнала: 2024, Номер unknown, С. 108103 - 108103
Опубликована: Дек. 1, 2024
Язык: Английский
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
Процитировано
11
Spatial Information Research, Год журнала: 2025, Номер 33(1)
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
9
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
Процитировано
8
Applications in Engineering Science, Год журнала: 2025, Номер unknown, С. 100209 - 100209
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
8
Mechanics Based Design of Structures and Machines, Год журнала: 2025, Номер unknown, С. 1 - 14
Опубликована: Апрель 10, 2025
Язык: Английский
Процитировано
3
Atmosphere, Год журнала: 2024, Номер 15(11), С. 1357 - 1357
Опубликована: Ноя. 12, 2024
The current work presents a case study for the state-of-the-art multimodal risk assessment approach, which is especially appropriate environmental wind-wave dynamic systems that are either directly physically observed or numerically modeled. High dimensionality of system and cross-correlations between its primary dimensions components make it quite challenging existing reliability methods. goal this investigation has been application novel multivariate hazard methodology to combined windspeed correlated wave-height unfiltered/raw dataset, was recorded in 2024 by situ NOAA buoy located southeast offshore Greenland. Existing hazard/risk methods mostly limited univariate at most bivariate systems. It well known interaction windspeeds corresponding wave heights results multimodal, nonstationary, nonlinear with cross-correlated components. Alleged global warming may represent additional factor/covariate, affecting ocean related dynamics. Accurate necessary naval, marine, structures operate within particular offshore/ocean zones interest, susceptible nonstationary weather conditions. Benchmarking spatiotemporal efficiently extract relevant information from underlying field objective work. proposed evaluation presented assist designers engineers effectively assess structural risks ocean-driven wind-wave-related environmental/structural key result lies demonstration methodological superiority, compared popular copula approach.
Язык: Английский
Процитировано
12
IET Intelligent Transport Systems, Год журнала: 2025, Номер 19(1)
Опубликована: Янв. 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.
Язык: Английский
Процитировано
2
Journal of Vibration and Control, Год журнала: 2025, Номер unknown
Опубликована: Апрель 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
Язык: Английский
Процитировано
2
Computers in Biology and Medicine, Год журнала: 2025, Номер 192, С. 110383 - 110383
Опубликована: Май 16, 2025
Язык: Английский
Процитировано
1
Next research., Год журнала: 2025, Номер unknown, С. 100433 - 100433
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0