Navigation of Polar Vessel

Cheng, Jianhua; Cai, Jing

doi:10.1007/978-981-10-6946-8_113

Cited by 6 publications

(11 citation statements)

References 9 publications

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“…Further, it was assumed 𝑁 ≫ 𝑘. Equation ( 5), being similar to the well-known mean up-crossing rate equation, expresses the probability of exceedance (Balakrishna et al, 2022;Cheng et al, 2022;Daqaq, 2015;Fazeres-Ferradosa, Taveira-Pinto, Romão, et al, 2018;Gaidai et al, , 2022bGaidai, Fu, et al, 2022;Gaidai, Xing, & Balakrishna, 2022;Rugbjerg et al, 2006;Wang et al, 2022;Zhang et al, 2018). There is convergence with respect to the conditioning number 𝑘 𝑃 = lim 𝑘→∞ 𝑃 𝑘 (1) ; 𝑝 (𝜆) = lim 𝑘→∞ 𝑝 𝑘 (𝜆)…”

Section: Gaidai Reliability Methodsmentioning

confidence: 99%

“…As the original MDOF system process was assumed ergodic and thus stationary, the probability 𝑝 𝑘 (𝜆) ≔ Prob{𝑅 𝑗 > 𝜂 𝜆 𝑗 |𝑅 𝑗−1 ≤ 𝜂 𝜆 𝑗−1 , 𝑅 𝑗−𝑘+1 ≤ 𝜂 𝜆 𝑗−𝑘+1 } for 𝑗 ≥ 𝑘 will be independent of 𝑗 and only dependent on the conditioning number 𝑘. Hence, non-exceedance probability may be approximated as in modified four-parameter Weibull method (Balakrishna et al, 2022;Cheng et al, 2022;Gaidai et al, , 2022bGaidai, Fu, et al, 2022;Gaidai, Xing, & Balakrishna, 2022;Zhang et al, 2018) 𝑃 𝑘 (𝜆) ≈ exp (−𝑁 ⋅ 𝑝 𝑘 (𝜆)), 𝑘 ≥ 1 (6) Equation ( 6) follows from Equation (1) by neglecting Prob(𝑅 1 ≤ 𝜂 𝜆 1 ) ≈ 1, as the design failure/hazard probability/risk is of a small order of magnitude. Further, it was assumed 𝑁 ≫ 𝑘.…”

Section: Gaidai Reliability Methodsmentioning

confidence: 99%

“…As it will be seen from the current study, the bivariate Weibull method is well suited for abovementioned task. Weibull functions advantage lies within their ability to accurately approximate empirical 2D PDF contours (Balakrishna et al, 2022;Cheng et al, 2022;, 2022bGaidai et al, , 2022bGaidai et al, 2019;Gaidai, Fu, et al, 2022; (Daqaq, 2015). Gaidai, Xing, & Balakrishna, 2022;Zhang et al, 2018).…”

Section: Bivariate Statisticsmentioning

confidence: 99%

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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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Section: Gaidai Reliability Methodsmentioning

confidence: 99%

Section: Gaidai Reliability Methodsmentioning

confidence: 99%

Section: Bivariate Statisticsmentioning

confidence: 99%

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Energy harvester reliability study by Gaidai reliability method

Gaidai,

Sun,

Wang

2024

Climate Resilience

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“…The in situ metocean data were then used to quickly estimate the joint PDF p U H T ( , ) s p , which produced a three-dimensional (3D) dispersed diagram with H s and T p standing for significant wave height and peak-spectral period, respectively. This strategy promotes the direct long-term MC simulation method, 40,[42][43][44][45][46]48,49 which has the benefit of not relying on any assumptions or simplifications. A semisubmersible FOWT model with one main column and three outer offset columns is shown in Figure 2.…”

Section: Modified Weibull Extrapolationmentioning

confidence: 99%

Deconvolution approach for floating wind turbines

Liu

Gaidai

Sun

et al. 2023

Energy Science & Engineering

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Green renewable energy is produced by floating offshore wind turbines (FOWT), a crucial component of the modern offshore wind energy industry. It is a safety concern to accurately evaluate excessive weights while the FOWT operates in adverse weather conditions. Under certain water conditions, dangerous structural bending moments may result in operational concerns. Using commercial FAST software, the study's hydrodynamic ambient wave loads were calculated and converted into FOWT structural loads. This article suggests a Monte Carlo‐based engineering technique that, depending on simulations or observations, is computationally effective for predicting extreme statistics of either the load or the response process. The innovative deconvolution technique has been thoroughly explained. The suggested approach effectively uses the entire set of data to produce a clear but accurate estimate for severe response values and fatigue life. In this study, estimated extreme values obtained using a novel deconvolution approach were compared to identical values produced using the modified Weibull technique. It is expected that the enhanced new de‐convolution methodology may offer a dependable and correct forecast of severe structural loads based on the overall performance of the advised de‐convolution approach due to environmental wave loading.

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“…− → R , and it's corresponding temporally non-decreasing occurrence times t 1 ≤ • • • ≤ t N , have been now fully introduced [35][36][37][38][39][40][41][42][43][44][45].…”

Section: Now the Non-decreasing Synthetic Vectormentioning

confidence: 99%

Dementia death rates prediction

Gaidai,

Yakimov,

Balakrishna

2023

BMC Psychiatry

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Background 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 of dying from severe dementia, given specific return period, within selected group of regions or nations. Methods Traditional statistical approaches do not have benefits of effectively handling large regional dimensionality, along with nonlinear cross-correlations between various regional observations. In order to produce reliable long-term projections of excessive dementia death rate risks, this study advocates novel bio-system reliability technique, that being particularly suited for multi-regional environmental, biological, and health systems. Data Raw clinical data has been used as an input to the suggested population-based, bio-statistical technique using data from medical surveys and several centers. Results Novel spatiotemporal health system reliability methodology has been developed and applied to dementia death rates raw clinical data. Suggested methodology shown to be capable of dealing efficiently with spatiotemporal clinical observations of multi-regional nature. Accurate disease risks multi-regional spatiotemporal prediction being done, relevant confidence intervals have been presented as well. Conclusions Based on available clinical survey dataset, the proposed approach may be applied in a variety of clinical public health applications. Confidence bands, given for predicted dementia-associated death rate levels with return periods of interest, have been reasonably narrow, indicating practical values of advocated prognostics.

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Navigation of Polar Vessel

Cited by 6 publications

References 9 publications

Energy harvester reliability study by Gaidai reliability method

Energy harvester reliability study by Gaidai reliability method

Deconvolution approach for floating wind turbines

Dementia death rates prediction

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