Browsing UiS Brage by Author "Balakrishna, Rajiv"
Now showing items 1-10 of 10
-
Characterisation of extreme load responses of a 10-MW floating semi-submersible type wind turbine
Xing, Yihan; Wang, Shuaishuai; Karuvathil, Anuraj; Balakrishna, Rajiv; Gaidai, Oleg (Peer reviewed; Journal article, 2023)The global average size of offshore wind turbines has increased steadily from 1.5 MW to 6 MW from 2000 to 2020. With this backdrop, the research community has recently looked at huge 10–15 MW class floating offshore wind ... -
Characterization and Optimization of Control System and Extreme Value Analysis of a Wind Turbine
Balakrishna, Rajiv (Master thesis, 2022)The global hunger for energy has only been rising every day as we progress more into adopting superior and better technology to make lives better and easier. As more countries tread the path of industrialization, the need ... -
A compensation scheme applied on wind turbine blade pitch control for the reduction of non-torque main shaft loads
Balakrishna, Rajiv; Xing, Yihan (Peer reviewed; Journal article, 2021)It has been well established that non-torque main shaft loads influence the internal drive train loads. This paper proposes a scheme that compensates for non-torque loads in the blade pitch controller. The compensation ... -
Dementia death rates prediction
Gaidai, Oleg; Yakimov, Vladimir; Balakrishna, Rajiv (Peer reviewed; Journal article, 2023)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 ... -
Floating wind turbines structural details fatigue life assessment
Gaidai, Oleg; Yakimov, Vladimir; Wang, Fang; Zhang, Fuxi; Balakrishna, Rajiv (Peer reviewed; Journal article, 2023)Fatigue damage prediction is essential for safety of contemporary offshore energy industrial projects, like offshore wind turbines, that are to be designed for sufficiently long operational period of time, with minimal ... -
Gaidai-Xing reliability method validation for 10-MW floating wind turbines
Gaidai, Oleg; Xing, Yihan; Xu, Jingxiang; Balakrishna, Rajiv (Peer reviewed; Journal article, 2023)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 ... -
Improving extreme offshore wind speed prediction by using deconvolution
Gaidai, Oleg; Xing, Yihan; Balakrishna, Rajiv; Xu, Jingxiang (Peer reviewed; Journal article, 2023)This study proposes an innovative method for predicting extreme values in offshore engineering. This includes and is not limited to environmental loads due to offshore wind and waves and related structural reliability ... -
Improving extreme response prediction of a subsea shuttle tanker hovering in ocean current using an alternative highly correlated response signal
Gaidai, Oleg; Xing, Yihan; Balakrishna, Rajiv (Journal article; Peer reviewed, 2022-09-02)A subsea shuttle tanker (SST) is a pioneering underwater submarine specifically designed to economically transport CO2 to smaller hydrocarbon fields. During loading and unloading of the CO2, the SST hovers over the well ... -
A novel design approach for estimation of extreme load responses of a 10-MW floating semi-submersible type floating wind turbine
Balakrishna, Rajiv; Gaidai, Oleg; Wang, Fang; Xing, Yihan; Wang, Shuaishuai (Peer reviewed; Journal article, 2022)Offshore structures are constructed to withstand extreme wind and wave-induced loads, so studying these extreme loads is vital as it allows offshore structures, e.g., wind turbines, to be designed and operated with minimal ... -
Prediction of death rates for cardiovascular diseases and cancers
Gaidai, Oleg; Xing, Yihan; Balakrishna, Rajiv; Sun, Jiayao; Bai, Xiaolong (Peer reviewed; Journal article, 2023)Background To estimate cardiovascular and cancer death rates by regions and time periods. Design Novel statistical methods were used to analyze clinical surveillance data. Methods A multicenter, population-based ...