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

Lifetime assessment for container vessels DOI
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Applied Ocean Research, Journal Year: 2023, Volume and Issue: 139, P. 103708 - 103708

Published: Aug. 20, 2023

Language: Английский

Citations

47
Floating wind turbines structural details fatigue life assessment DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 28, 2023

Abstract Fatigue damage prediction is essential for safety of contemporary offshore energy industrial projects, like wind turbines, that are to be designed sufficiently long operational period time, with minimal disruptions. Offshore structures being withstand environmental loadings due winds and waves. Due accumulated fatigue damage, floating turbines may develop material cracks in their critical locations sooner than expected. Dataset needed an accurate assessment produced by either extensive numerical modeling, or direct measurements. However, reality, temporal length the underlying dataset typically too short provide calculation life. Hence, objective this work contribute development novel methods, making better use limited dataset. In study, in-situ conditions were incorporated assess FWT tower base stresses; then structural cumulative has been assessed. Novel deconvolution extrapolation method introduced it was shown able accurately predict long-term damage. The latter technique validated, using artificially reduced dataset, resulted close calculated from full original Recommended utilize available much more efficiently, compared estimation. Accurate turbine characteristics reliability, design, safety.

Language: Английский

Citations

46
Safety design study for energy harvesters DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Sustainable Energy Research, Journal Year: 2023, Volume and Issue: 10(1)

Published: Oct. 26, 2023

Abstract Modern offshore and onshore green energy engineering includes harvesting—as a result, extensive experimental investigations, as well safety reliability analysis are crucial for design engineering. For this study, several wind-tunnel experiments under realistic in situ wind speed conditions have been conducted to examine the performance of galloping harvester. Next, novel structural approach is presented here that especially suited multi-dimensional harvesting systems either numerically simulated or analog observed during representative time lapse, yielding an ergodic system record. As demonstrated advocated methodology may be used risk assessment dynamic damage failure. Furthermore, traditional methodologies dealing with series do not easily cope system’s high dimensionality, along nonlinear cross-correlations between components. This study’s objective was assess state-of-the-art method, allowing efficient extraction relevant statistical information, even from limited underlying dataset. The described study aims assist designers when assessing multidimensional failure hazard risks.

Language: Английский

Citations

45
Gaidai reliability method for fixed offshore structures DOI
Jiayao Sun, Oleg Gaidai, Fang Wang

et al.

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Journal Year: 2023, Volume and Issue: 46(1)

Published: Dec. 14, 2023

Language: Английский

Citations

42
4400 TEU cargo ship dynamic analysis by Gaidai reliability method DOI Creative Commons
Oleg Gaidai, Fang Wang, Yu Cao

et al.

Journal of Shipping and Trade, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 2, 2024

Abstract Modern cargo vessel transport constitutes an important part of global economy; hence it is paramount importance to develop novel, more efficient reliability methods for ships, especially if onboard recorded data available. Classic methods, dealing with timeseries, do not have the advantage efficiently system high dimensionality and cross-correlation between different dimensions. This study validates novel structural method suitable multi-dimensional systems versus a well-established bivariate statistical method. An example this was chosen container ship subjected large deck panel stresses during sailing. Risk losing containers, due extreme motions primary concern transport. Due non-stationarity complicated nonlinearities both waves motions, challenging model such phenomenon. In case role dramatically increases, activating effects second higher order. Moreover, laboratory tests may also be questioned. Therefore, measured on actual ships their voyages in harsh weather provides unique insight into statistics motions. aimed at benchmarking validation state-of-the-art method, which enables extraction necessary information about dynamics from time histories. The proposed opens up broad possibilities predicting simply, yet potential failure or damage risks nonlinear dynamic as whole. Note that advocated can used wide range complex engineering systems, thus limited only.

Language: Английский

Citations

41
Bivariate reliability analysis for floating wind turbines DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 63 - 72

Published: Jan. 1, 2024

Abstract Wind turbines are designed to withstand extreme wind- and wave-induced loads, hence a reliability study is vital. This presents bivariate approach, suitable for accurate assessment of critical forces moments, occurring within the wind turbine’s mechanical parts, such as drivetrain. A ecently developed modified Weibull method has been utilized in this study. Multivariate statistical analysis more appropriate than univariate one, it accounts cross-correlations between different system components. employed estimate operational loads acting on 10-mega watt (MW) semi-submersible type floating turbine (FWT). Longitudinal, bending, twisting, cyclic being among typical load types that FWTs associated parts susceptible to. Furthermore, environmental an operating FWT impacted by incoming wind’s stochastic behavior terms speed, direction, shear, vorticity, necessitates nonlinear Appropriate numerical methods were used model dynamic, structural, aerodynamic, control aspects system. Bending moments drivetrain have obtained from SIMPACK (Multibody Simulation Method), given realistic in-situ conditions. For 5-year return period interest, offered robust FWT’s coupled drivetrain’s bending moments.

Language: Английский

Citations

40
Limit hypersurface state of art Gaidai reliability approach for oil tankers Arctic operational safety DOI
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

et al.

Journal of Ocean Engineering and Marine Energy, Journal Year: 2024, Volume and Issue: 10(2), P. 351 - 364

Published: Feb. 28, 2024

Language: Английский

Citations

36
Gaidai Multivariate Reliability Method for Energy Harvester Operational Safety, Given Manufacturing Imperfections DOI
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

International Journal of Precision Engineering and Manufacturing, Journal Year: 2024, Volume and Issue: 25(5), P. 1011 - 1025

Published: Feb. 29, 2024

Language: Английский

Citations

35
Gaidai multivariate risk assessment method for cargo ship dynamics DOI Creative Commons
Oleg Gaidai,

Jinlu Sheng,

Yu Cao

et al.

Urban Planning and Transport Research, Journal Year: 2024, Volume and Issue: 12(1)

Published: March 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.

Language: Английский

Citations

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

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102326 - 102326

Published: May 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.

Language: Английский

Citations

32