Renewable Energy, Journal Year: 2024, Volume and Issue: 237, P. 121824 - 121824
Published: Nov. 7, 2024
Language: Английский
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
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
Natural Hazards Review, Journal Year: 2024, Volume and Issue: 25(4)
Published: Aug. 2, 2024
Language: Английский
Citations
21
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
Franklin Open, Journal Year: 2024, Volume and Issue: 6, P. 100075 - 100075
Published: Feb. 13, 2024
This study aims at accurate spatiotemporal assessment of future epidemic outbreak risks, occurring within any given return period, and relevant administrative region Estonia. Authors have recently developed novel statistical methodology, that can be applied directly to multivariate raw clinical datasets. Novel Gaidai reliability described in this study, being particularly appropriate for multi-regional environmental, biological public health systems. Advocated methodology has been sufficiently validated the recent studies, yielding reliable long-term risk forecasts outbreaks. COVID-19 (SARS-COV-2) daily recorded patient numbers were selected all impacted Estonia national regions. results conclude recommended approach may effectively utilize even limited datasets, latter useful a wide range bioinformatics applications. Confidence intervals estimated predicted epidemiological levels.
Language: Английский
Citations
19
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
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