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
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
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
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
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
Climate Resilience and Sustainability, Journal Year: 2024, Volume and Issue: 3(1)
Published: Jan. 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
Language: Английский
Citations
39
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
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
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
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
Systems and Soft Computing, Journal Year: 2024, Volume and Issue: 6, P. 200074 - 200074
Published: Jan. 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.
Language: Английский
Citations
29