Multivariate Risk Assessment for Offshore Jacket Platforms by Gaidai Reliability Method DOI
Oleg Gaidai,

Yu Cao,

Yan Zhu

и другие.

Journal of Marine Science and Application, Год журнала: 2024, Номер unknown

Опубликована: Сен. 20, 2024

Язык: Английский

Energy harvester reliability study by Gaidai reliability method DOI Creative Commons
Oleg Gaidai, Jiayao Sun, Fang Wang

и другие.

Climate Resilience and Sustainability, Год журнала: 2024, Номер 3(1)

Опубликована: Янв. 3, 2024

Abstract This study validates a novel structural reliability method, particularly suitable for high‐dimensional green energy harvesting device dynamic systems, versus well‐established bivariate statistical known to accurately predict two‐dimensional system extreme response contours. Classic methods dealing with time series do not always have an advantage of easily high dimensionality, along complex cross‐correlations among different components. Energy harvesters constitute important part modern offshore engineering; hence, proper experimental safety and analysis are practical design engineering importance. To the performance galloping harvesters, laboratory wind tunnel tests been conducted, selecting speeds. illustrates usage advocated by analyzing statistics harvester's dynamics. The was extracted from available results, more specifically device's voltage‐force dataset. Advantage proposed methodology being that relatively short data record may still yield meaningful provided applied. Safety concerns all kinds devices. In case measured response, accurate prediction failure or damage probability is possible, as illustrated in this study. Distinctive semi‐analytical fact it can tackle systems practically unlimited number dimensions (or components), nonlinear between key

Язык: Английский

Процитировано

39

Limit hypersurface state of art Gaidai reliability approach for oil tankers Arctic operational safety DOI
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

и другие.

Journal of Ocean Engineering and Marine Energy, Год журнала: 2024, Номер 10(2), С. 351 - 364

Опубликована: Фев. 28, 2024

Язык: Английский

Процитировано

36

Gaidai Multivariate Reliability Method for Energy Harvester Operational Safety, Given Manufacturing Imperfections DOI
Oleg Gaidai, Vladimir Yakimov, Fang Wang

и другие.

International Journal of Precision Engineering and Manufacturing, Год журнала: 2024, Номер 25(5), С. 1011 - 1025

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

35

Gaidai multivariate risk assessment method for cargo ship dynamics DOI Creative Commons
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

и другие.

Urban Planning and Transport Research, Год журнала: 2024, Номер 12(1)

Опубликована: Март 11, 2024

Contemporary cargo vessel transport constitutes a vital part of the global trade and economy. Thus, it is primary engineering design importance to further develop more efficient novel risk analysis assessment methods for large ships. Classical methodsmay not always have advantages efficiently dealing with dynamic system's high dimensionality along cross-correlations between various critical dimensions. Current study benchmarks state-of-art Gaidai spatiotemporal structural method, suitable multivariate systems versus well-established bivariate method. As an example, this study, operating container has been selected. The hull had subjected deck panel stresses accelerations during cross-Atlantic sailing. Risks losing containers are caused by extreme dynamics being one concerns transport. methodology, advocated here, opens up new possibilities predicting efficiently, yet simply potential damage/failure risks nonstationary, nonlinear, ship systems, as whole. Note that method may be applied wide range complex marine offshore systems.

Язык: Английский

Процитировано

33

Multivariate Gaidai hazard assessment method in combination with deconvolution scheme to predict extreme wave heights DOI Creative Commons
Oleg Gaidai, Yu Cao, Hongchen Li

и другие.

Results in Engineering, Год журнала: 2024, Номер 22, С. 102326 - 102326

Опубликована: Май 27, 2024

Current study advocates novel Gaidai hazards assessment methodology that may be utilized for excessive wave-heights spatiotemporal risk analysis, thus advancing climate change studies. being particularly suitable multivariate dynamic environmental ocean systems, have been MC (i.e., Monte Carlo) numerically simulated, either physically measured across a representative time period, resulting in synchronous quasi-ergodic timeseries. Offshore waves affect reliable production and operational safety of offshore marine structures. presents two reliability methods: first, state-of-the-art methodology, designed multi-dimensional to presented the current study; second, deconvolution extrapolation technique follow. Primary target accurate system's hazard assessment. Classic methods, dealing with timeseries not always possess advantages efficiently high dimensionality, along nonlinear cross-correlation patterns between various components. In-situ significant wave-height dataset, different areas, analyzed by means application advocated methodology. representing complex highly-nonlinear, cross-correlated system. Global also an important factor, affecting wave-heights. purpose had benchmark while utilizing underlying raw dataset. Methods put forth assessments large variety dimensional systems.

Язык: Английский

Процитировано

32

Multivariate risks assessment for complex bio-systems by Gaidai-Xing reliability method DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Qingsong Hu

и другие.

Systems and Soft Computing, Год журнала: 2024, Номер 6, С. 200074 - 200074

Опубликована: Янв. 24, 2024

Spread of novel coronavirus and other flu-like illnesses, periodically causing increased death morbidity rates, places pressures on national health systems. In order to provide a reliable long-term forecast the new infection rate, this research employs Gaidai-Xing bio-system reliability technique, especially suitable for multi-regional biological, environmental public The goal study was directly apply state art statistical techniques unprocessed raw clinical data, utilizing multicenter, population-based biostatistical methodology. Epidemiological risks have been accurately forecasted, specifically European Union member states. Based their survey suggested spatiotemporal methodology may be applied in variety biological applications.

Язык: Английский

Процитировано

29

Public health system sustainability assessment by Gaidai hypersurface approach DOI
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

и другие.

Current Problems in Cardiology, Год журнала: 2024, Номер 49(3), С. 102391 - 102391

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

28

Lifetime assessment of semi-submersible wind turbines by Gaidai risk evaluation method DOI Creative Commons
Oleg Gaidai, Alia Ashraf, Yu Cao

и другие.

Deleted Journal, Год журнала: 2024, Номер 19(1)

Опубликована: Июнь 22, 2024

Abstract As the global agenda turns more towards so-called challenge of climate change and lowering carbon emissions, research into green, renewable energy sources becoming nowadays popular. Offshore wind power, produced by FOWTs (i.e., Floating Wind Turbines), is one such substitute. It a significant industrial part contemporary offshore industry produces clean, electricity. Accurate operational lifetime assessment for an important technical safety issue, as environmental in situ loads can lead to fatigue damage well extreme structural dynamics, which cause damage. In this study, hydro aerodynamic loads, that act on FOWT, given actual local sea conditions have been numerically assessed, using FAST coupled nonlinear aero-hydro-servo-elastic software package. combines aerodynamics hydrodynamics models FOWTs, control electrical system dynamics models, along with enabling MC simulation real time. The tool enables analysis range FOWT configurations, including 2- or 3-bladed horizontal-axis rotor, pitch stall regulation, rigid teetering hub, upwind downwind rotors. relies advanced engineering models—derived from fundamental laws, however appropriate assumptions simplifications, supplemented where applicable experimental data. Recently developed Gaidai reliability method, being suitable risks evaluation variety sustainable systems, experiencing nonlinear, potentially throughout their designed service life. main advantage advocated methodology its ability tackle simultaneously large number dynamic systems' degrees freedom, corresponding system's critical components.

Язык: Английский

Процитировано

26

FPSO/LNG hawser system lifetime assessment by Gaidai multivariate risk assessment method DOI Creative Commons
Oleg Gaidai, Yu Cao, Alia Ashraf

и другие.

Energy Informatics, Год журнала: 2024, Номер 7(1)

Опубликована: Июль 2, 2024

Abstract Floating Production Storage and Offloading (FPSO) unit being an offshore vessel, storing producing crude oil, prior to oil transported by accompanying shuttle tanker. Critical mooring/hawser strains during offloading operation have be accurately predicted, in order maintain operational safety reliability. During certain types of offloading, excessive hawser tensions may occur, causing risks. Current study examines FPSO vessel’s dynamic reactions hydrodynamic wave-induced loads, given realistic situ environmental conditions, utilizing the AQWA software package. advocates novel multi-dimensional spatiotemporal risks assessment approach, that is particularly well suited for large dataset analysis, based on numerical simulations (or measurements). Advocated multivariate reliability methodology useful a variety marine systems must endure severe stressors their intended lifespan. Methodology, presented this provides advanced capability efficiently, yet evaluate system failure, hazard damage risks, representative record multidimensional system’s inter-correlated critical components. Gaidai risk method lifetime methodology. In validate benchmark method, it was applied potentially LNG (i.e., Liquid Natural Gas) vessels dynamics. Major advantage advocated approach there are no existing alternative methods, able tackle unlimited number dimensions. Accurate had been carried out, numerically simulated data, partially verified available laboratory experiments. Confidence intervals predicted high-dimensional levels.

Язык: Английский

Процитировано

22

Evaluating Areal Windspeeds and Wave Heights by Gaidai Risk Evaluation Method DOI
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

и другие.

Natural Hazards Review, Год журнала: 2024, Номер 25(4)

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

21