Extreme springing response statistics of a tethered platform by deconvolution

Gaidai, Oleg; Cao, Yu; Xing, Yihan; Balakrishna, Rajiv

doi:10.1016/j.ijnaoe.2023.100515

Cited by 50 publications

(11 citation statements)

References 16 publications

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“…Distinctive feature of Gaidai-Xing method is that it is uning deconvolution method to perform numerically accurate and stable extrapolation 30 , 31 .…”

Section: Gaidai-xing Methodsmentioning

confidence: 99%

Gaidai-Xing reliability method validation for 10-MW floating wind turbines

Gaidai

Xing

et al. 2023

Sci Rep

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In contrast to well-known bivariate statistical approach, which is known to properly forecast extreme response levels for two-dimensional systems, the research validates innovative structural reliability method, which is particularly appropriate for multi-dimensional structural responses. The disadvantage of dealing with large system dimensionality and cross-correlation across multiple dimensions is not a benefit of traditional dependability approaches that deal with time series. Since offshore constructions are built to handle extremely high wind and wave loads, understanding these severe stresses is essential, e.g. wind turbines should be built and operated with the least amount of inconvenience. In the first scenario, the blade root flapwise bending moment is examined, whereas in the second, the tower bottom fore-aft bending moment is examined. The FAST simulation program was utilized to generate the empirical bending moments for this investigation with the load instances activated at under-rated, rated, and above-rated speeds. The novel reliability approach, in contrast to conventional reliability methods, does not call for the study of a multi-dimensional reliability function in the case of numerical simulation. As demonstrated in this work, it is now possible to assess multi-degree-of-freedom nonlinear system failure probability, in the case when only limited system measurements are available.

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“…Distinctive feature of Gaidai-Xing method is that it is uning deconvolution method to perform numerically accurate and stable extrapolation 30 , 31 .…”

Section: Gaidai-xing Methodsmentioning

confidence: 99%

Gaidai-Xing reliability method validation for 10-MW floating wind turbines

Gaidai

Xing

et al. 2023

Sci Rep

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“…Identical definitions were valid for other MDOF components: Y ( t ), Z ( t ), … namely,

{Y}_1, \ldots ,{Y}_{{N}_Y};

{Z}_1, \ldots ,{Z}_{{N}_Z}

and so on. For simplicity, all system components were assumed to be nonnegative [ 30–33 ]

\begin{eqnarray} P = \mathop {\iiint}\limits_{\left( {0,\ 0,\ 0,\ \ldots } \right)}^{\left( {{\eta }_X,\ {\eta }_Y,\ {\eta }_{Z\ },\ \ldots } \right)} {p}_{X_T^{{\rm{max}}},\ Y_T^{{\rm{max}}},\ Z_T^{{\rm{max}}},\ \ldots }\left( {X_T^{{\rm{max}}},\ Y_T^{{\rm{max}}},\ Z_T^{{\rm{max}}},\ \ldots } \right)\ {\rm{d}}X_T^{{\rm{max}}}{\rm{d}}Y_{{N}_Y}^{{\rm{max}}}{\rm{d}}Z_{{N}_z}^{{\rm{max}}}\end{eqnarray}

…”

Section: Methodsmentioning

confidence: 99%

“…and so on. For simplicity, all system components were assumed to be nonnegative [30][31][32][33] P =…”

Section: Methodsmentioning

confidence: 99%

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Carbon Storage Tanker Lifetime Assessment

Gaidai

et al. 2023

Global Challenges

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CO 2 capture and storage (CCS) is an important strategy to reduce global CO 2 emissions. This work presents both cutting-edge carbon storage tanker design, as well as novel reliability method making possible to extract useful information about the lifespan distribution of carbon capture systems from their recorded time history. The method outlined may be applied on more complex sustainable systems that are exposed to environmental stresses throughout the whole period of their planned service life. The latter is of paramount importance at the design stage for complex engineering systems. Novel design for CCS system is discussed and accurate numerical simulation results are used to apply suggested novel reliability methodology. Furthermore, traditional reliability approaches that deal with complex energy systems are not well suited for handling high dimensionality and cross-correlation between various system components of innovative dynamic CO 2 storage subsea shuttle tanker. This study has two distinctive key features: the state of art CCS design concept, and the novel general purpose reliability method, recently developed by authors, and particularly suitable for operational safety study of complex energy systems.

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“…(2022), Gaidai, Xing, and Xu (2023), Gaidai, Cao, Xing et al. (2023), Gaidai, Cao, and Loginov (2023), Gaidai, Cao, Xing, and Balakrishna (2023), Gaidai, Xing, Balakrishna et al. (2023), Gaidai, Wang, and Yakimov (2023), Gaidai et al.…”

Section: Bivariate Statisticsmentioning

confidence: 99%

Energy harvester reliability study by Gaidai reliability method

Gaidai,

Sun,

Wang

2024

Climate Resilience

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This study validates a novel structural reliability method, particularly suitable for high‐dimensional green energy harvesting device dynamic systems, versus a well‐established bivariate statistical method, known to accurately predict two‐dimensional system extreme response contours. Classic reliability methods dealing with time series do not always have an advantage of dealing easily with dynamic system high dimensionality, along with complex cross‐correlations among different system components. Energy harvesters constitute an important part of modern offshore green energy engineering; hence, proper experimental study along with safety and reliability analysis are of practical design and engineering importance. To study the performance of galloping energy harvesters, a series of laboratory wind tunnel tests have been conducted, selecting different wind speeds. This study illustrates the usage of the advocated novel reliability method, by analyzing bivariate statistics of experimental galloping energy harvester's dynamics. The bivariate statistics was extracted from available experimental results, more specifically for the device's voltage‐force dataset. Advantage of the proposed methodology being that relatively short experimental data record may still yield meaningful design results, provided proper statistical methods have been applied. Safety and reliability are important engineering concerns for all kinds of green energy devices. In the case of measured device's structural response, an accurate prediction of system failure or damage probability is possible, as illustrated in this study. Distinctive advantage of advocated novel semi‐analytical reliability methodology being the fact that it can tackle dynamic systems with practically unlimited number of dimensions (or components), along with complex nonlinear cross‐correlations between different system key components.

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Extreme springing response statistics of a tethered platform by deconvolution

Cited by 50 publications

References 16 publications

Gaidai-Xing reliability method validation for 10-MW floating wind turbines

Gaidai-Xing reliability method validation for 10-MW floating wind turbines

Carbon Storage Tanker Lifetime Assessment

Energy harvester reliability study by Gaidai reliability method

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