HIV deathrate prediction by Gaidai multivariate risks assessment method DOI Creative Commons
Oleg Gaidai

Immunity Inflammation and Disease, Journal Year: 2024, Volume and Issue: 12(10)

Published: Oct. 1, 2024

HIV is a contagious disease with reportedly high transmissibility, being spread worldwide, certain mortality, allegedly presenting burden to public health worldwide. The main objective of this study was determine excessive death risks at any time within region or country interest.

Language: Английский

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

Design prognostics for 4400 TEU container vessel by multi‐variate Gaidai reliability approach DOI Creative Commons

Yan Zhu,

Oleg Gaidai,

Jinlu Sheng

et al.

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

Citations

5

Multivariate spatiotemporal windspeeds prognostics across parts of Pacific Ocean using the Gaidai risk assessment approach DOI

Shao-Ping He,

Oleg Gaidai, Yan Zhu

et al.

Spatial Information Research, Journal Year: 2025, Volume and Issue: 33(1)

Published: Jan. 22, 2025

Language: Английский

Citations

4

State-of-the-art Gaidai hypersurface risk assessment for semi-submersible wind turbines, accounting for memory effects DOI Creative Commons
Oleg Gaidai, Fang Wang,

Jinlu Sheng

et al.

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

Published: Feb. 1, 2025

Language: Английский

Citations

4

Lifetime assessment for container ship by multimodal Gaidai risk evaluation method DOI Creative Commons
Oleg Gaidai, Alia Ashraf, Yu Cao

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 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.

Language: Английский

Citations

3

Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters DOI Creative Commons
Oleg Gaidai,

Jinlu Sheng,

Alia Ashraf

et al.

Applications in Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 100209 - 100209

Published: Feb. 1, 2025

Language: Английский

Citations

3

ocean windspeeds forecast by Gaidai multivariate risk assessment method, utilizing deconvolution scheme DOI Creative Commons
Oleg Gaidai, Alia Ashraf, Yu Cao

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102796 - 102796

Published: Aug. 28, 2024

Language: Английский

Citations

15

Gaidai risks evaluation method for lifetime assessment for offshore floating wind turbine gearbox DOI
Oleg Gaidai

Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems, Journal Year: 2024, Volume and Issue: 8(2)

Published: Aug. 30, 2024

Abstract Renewable clean energy in some cases may be viewed as an alternative to limited fossil resources. Offshore floating wind turbines (FWTs) are among the most attractive green alternatives. However, FWTs, particular their essential components, sustain structural damages from cyclic loads brought on by torque, bending, longitudinal loadings, well twisting moments. Multibody simulation tool SIMPACK was utilized assess bending moments and internal forces occurring within FWT drivetrain during its field operation. The novel risk damage evaluation method advocated current study is intended serve contemporary design, enabling accurate assessments of lifespan distribution, given situ environmental/field conditions. approach described analyze complex multidimensional sustainable systems, subjected excessive stressors service life. Contemporary approaches, dealing with systems not always well-suited for handling dynamic system's high dimensionality, aggravated nonlinear cross-correlations between nonstationary loadings. advocates a general-purpose lifetime assessment methodology, having wide area potential engineering design applications, offshore wind/wave renewable systems. Key advantages methodology lie robust ability risks environmental virtually unlimited number system components (dimensions), along further incorporate real time. Note that author's knowledge, there no comparable methods can deal utilizing raw/unfiltered simulated/measured datasets, beyond one or two-dimensional systems—except computationally expensive direct Monte Carlo (MC) simulations.

Language: Английский

Citations

9

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

Peijiang Qin,

Oleg Gaidai,

Jinlu Sheng

et al.

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

Published: Nov. 1, 2024

Language: Английский

Citations

9

Reliability analysis of wind turbine gearboxes: past, progress and future prospects DOI
Debiao Meng, Peng Nie, Shiyuan Yang

et al.

International Journal of Structural Integrity, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Purpose As a clean and renewable energy source, wind will become one of the main sources new supply in future. Relying on stable strong resources at sea, has great potential to primary energy. critical part turbine, gearbox turbine often bears large external load. Especially due effects ocean corrosion, waves wind, burden is greater, which brings challenges its reliability analysis. This study aims systematically review research gearboxes guide future directions challenges. Design/methodology/approach reviews some design requirements analysis methods for gearboxes. Then, it summarizes previous studies load uncertainty modeling methods, including processing measurement data summary three different classifications random speed prediction models. Finally, existing two major parts are described summarized. Findings First, basic knowledge their introduced. The explained. models detail. Furthermore, common gearboxes, gears bearings, summarized classified, bearing failure modes. possible discussed, namely, under influence multiple factors gears, damage indicators modes quantitative evaluation criteria overall dynamic characteristics offshore also given. Originality/value paper introduce relevant contents processing, predictive components comprehensively reviewed, classification principle introduction these contents.

Language: Английский

Citations

1