Dementia death rates prediction DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Rajiv Balakrishna

et al.

BMC Psychiatry, Journal Year: 2023, Volume and Issue: 23(1)

Published: Sept. 22, 2023

Prevalence of dementia illness, causing certain morbidity and mortality globally, places burden on global public health. This study primary goal was to assess future risks dying from severe dementia, given specific return period, within selected group regions or nations.

Language: Английский

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

Jinlu Sheng,

Yu Cao

et al.

Current Problems in Cardiology, Journal Year: 2024, Volume and Issue: 49(3), P. 102391 - 102391

Published: Jan. 21, 2024

Language: Английский

Citations

28

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

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 19(1)

Published: June 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.

Language: Английский

Citations

26

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

et al.

Energy Informatics, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 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.

Language: Английский

Citations

22

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

Jinlu Sheng,

Yu Cao

et al.

Natural Hazards Review, Journal Year: 2024, Volume and Issue: 25(4)

Published: Aug. 2, 2024

Language: Английский

Citations

21

Limit hypersurface state of the art Gaidai multivariate risk evaluation approach for offshore Jacket DOI
Oleg Gaidai, Yu Cao, Yan Zhu

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: July 16, 2024

Language: Английский

Citations

20

Wind turbine gearbox reliability verification by multivariate Gaidai reliability method DOI Creative Commons
Oleg Gaidai, Hongchen Li, Yu Cao

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102689 - 102689

Published: Aug. 8, 2024

Reliability research is essential since WT (Wind turbines) are built to endure high wind and wave-induced stresses. Novel multivariate 2D (bivariate) reliability methods presented in this investigation being conceived by authors assist designers accurately assessment of crucial stressors, acting inside key mechanical parts, such as gearbox drivetrain. Current study made use the recently created modified Weibull-type approach. Since statistical analysis takes into consideration cross-correlations between various system components, it more suited for design than univariate analysis. To cross-validate 10-MW semi-submersible type FWT (i.e., Floating Wind Turbine) failure or damage probability, forecasted Gaidai methodology, current employed Weibull Typical load types that FWTs related parts prone, include longitudinal, bending, twisting, cyclic Stochastic nature environmental loads, on terms windspeed, direction, shear, vorticity may cause excessive nonlinear structural dynamic effects, hence components like drivetrain necessary. In dynamic, structural, aerodynamic, control aspects had been modeled, using advanced numerical techniques – dynamics has modeled utilizing SIMPACK (Multibody Simulation Method) software. risk approach provided a reliable evaluation coupled drivetrain's dynamics, given return periods interest. Weakness bivariate highlighted, comprehensive solution form novel method.

Language: Английский

Citations

20

Multivariate ocean waves dynamics in North Sea and Norwegian Sea by Gaidai reliability method DOI Creative Commons
Oleg Gaidai, Alia Ashraf, Yu Cao

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2346 - 2355

Published: Aug. 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

Language: Английский

Citations

19

Global health risks due to the COVID-19 epidemic by Gaidai reliability method DOI Creative Commons
Oleg Gaidai

Science Talks, Journal Year: 2024, Volume and Issue: 10, P. 100366 - 100366

Published: May 23, 2024

Accurate estimation of epidemic outbreak risks at any given time horizon, and in national province interest for COVID-19 (novel coronavirus disease, SARS-COV-2), a contagious is practical importance. This study proposes novel bio health system's spatiotemporal reliability method, applicable to multi-regional systems. approach enables accurate future risks, suitable multiregional biological Daily numbers recorded patients two different countries were chosen this study. aimed benchmark state-of-the-art by extracting necessary system information from nationally observed patient numbers, while taking into account territorial mapping. Proper confidence bands have been estimated predicted probability levels. Suggested multivariate methodology may be used various public applications, based on available situ clinical survey data. analyzed epidemiological dynamics, total daily-recorded patients. It recommended the percentage infected patients, with respect local population tested. The suggested being general well latter task.

Language: Английский

Citations

17

Applying the multivariate Gaidai reliability method in combination with an efficient deconvolution scheme to prediction of extreme ocean wave heights DOI
Oleg Gaidai, Yu Cao, Fang Wang

et al.

Marine Systems & Ocean Technology, Journal Year: 2024, Volume and Issue: 19(1-2), P. 165 - 178

Published: Aug. 9, 2024

Language: Английский

Citations

17

Panamax cargo-vessel excessive-roll dynamics based on novel deconvolution method DOI
Oleg Gaidai, Alia Ashraf, Yu Cao

et al.

Probabilistic Engineering Mechanics, Journal Year: 2024, Volume and Issue: 77, P. 103676 - 103676

Published: July 1, 2024

Language: Английский

Citations

16