Journal of industrial safety., Год журнала: 2025, Номер unknown
Опубликована: Май 1, 2025
Язык: Английский
Energy Reports, Год журнала: 2024, Номер 12, С. 2346 - 2355
Опубликована: Авг. 23, 2024
Current study presents state-of-the-art approach for evaluating spatiotemporal multivariate environmental risks, especially suitable complex systems that have been either numerically simulated or physically observed. Advocated methodology provides accurate hazard risk forecasts, based on real-time in situ data. Design of offshore structures requires assessment – and naval operations require both short- long-term reliability analyses. Contemporary evaluation techniques often struggle with raw timeseries data due to intrinsic multidimensionality nonlinear interconnections among critical system's dimensions/components. In the current effectiveness Gaidai method is illustrated by utilizing significant wave heights dataset, measured within two zones: Heidrun Troll Norwegian oil fields. Analyzing waves being particularly challenging their complexity, high nonlinearity, multidimensionality, yet dynamic inter-correlations. Global warming several factors, affecting ocean sea heights. For naval, marine operating harsh weather conditions, robust methods crucial design safe operations. aims validate benchmark methodology, enabling extraction. allows efficient global damages, failures risks a wide range energy systems. Primary advantage presented lies its ability treat practically unlimited number dimensions, while existing mostly limited univariate bivariate
Язык: Английский
Процитировано
23
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
Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100946 - 100946
Опубликована: Фев. 1, 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
Structures, Год журнала: 2024, Номер 70, С. 107691 - 107691
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
13
Deleted Journal, Год журнала: 2024, Номер 1(1)
Опубликована: Окт. 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.
Язык: Английский
Процитировано
11
ASME Open Journal of Engineering, Год журнала: 2024, Номер 3
Опубликована: Янв. 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
Язык: Английский
Процитировано
11