Results in Engineering, Год журнала: 2024, Номер 23, С. 102796 - 102796
Опубликована: Авг. 28, 2024
Язык: Английский
Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Сен. 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.
Язык: Английский
Процитировано
52
Applied Ocean Research, Год журнала: 2023, Номер 139, С. 103708 - 103708
Опубликована: Авг. 20, 2023
Язык: Английский
Процитировано
51
Sustainable Energy Research, Год журнала: 2023, Номер 10(1)
Опубликована: Окт. 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.
Язык: Английский
Процитировано
50
Journal of the Brazilian Society of Mechanical Sciences and Engineering, Год журнала: 2023, Номер 46(1)
Опубликована: Дек. 14, 2023
Язык: Английский
Процитировано
47
Journal of Shipping and Trade, Год журнала: 2024, Номер 9(1)
Опубликована: Янв. 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.
Язык: Английский
Процитировано
46
International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 63 - 72
Опубликована: Янв. 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.
Язык: Английский
Процитировано
45
Journal of Ocean Engineering and Marine Energy, Год журнала: 2024, Номер 10(2), С. 351 - 364
Опубликована: Фев. 28, 2024
Язык: Английский
Процитировано
41
International Journal of Precision Engineering and Manufacturing, Год журнала: 2024, Номер 25(5), С. 1011 - 1025
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
40
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
38
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
37