Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på forfatter "Gaidai, Oleg"

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    • Bivariate statistics of wind farm support vessel motions while docking 

      Gaidai, Oleg; Xu, Xiaosen; Næss, Arvid; Cheng, Yong; Ye, Renchuan; Wang, Junlei (Peer reviewed; Journal article, 2020)
      Robust prediction of extreme motions during wind farm support vessel (WFSV) operation is an important safety concern. In particular, it is important to study safety of operation in random sea conditions during WFSV docking ...

    • Estimation of Extreme Values by the Average Conditional Exceedance Rate Method 

      Næss, Arvid; Gaidai, Oleg; Karpa, Oleh Ihorovych (Journal article; Peer reviewed, 2013)
      This paper details a method for extreme value prediction on the basis of a sampled time series. The method is specifically designed to account for statistical dependence between the sampled data points in a precise manner. ...

    • Extreme loads analysis of a site-specific semi-submersible type wind turbine 

      Xu, Xiaosen; Gaidai, Oleg; Næss, Arvid; Sahoo, Prasanta (Peer reviewed; Journal article, 2020)
      As a vital key part of the modern offshore wind energy industry, floating offshore wind turbines (FOWT) are built to generate green renewable energy. Robust prediction of extreme loads during FOWT operation is an important ...

    • Extreme riser experimental loads caused by sea currents in the Gulf of Eilat 

      Sun, Jiayao; Gaidai, Oleg; Wang, Fang; Næss, Arvid; Wu, Yu; Xing, Yihan; van Loon, Eric-Jan; Medina, Ausberto Rivera; Wang, Junlei (Peer reviewed; Journal article, 2022)
      Risers are widely used in offshore industry and are subjected to dynamic environmental loads. Robust prediction of extreme riser external loading under the action of sea currents and subsequently VIV (vortex-induced ...

    • Improving extreme anchor tension prediction of a 10-MW floating semi-submersible type wind turbine, using highly correlated surge motion record 

      Gaidai, Oleg; Xing, Yihan; Wang, Fang; Wang, Shuaishuai; Yan, Ping; Næss, Arvid (Peer reviewed; Journal article, 2022)
      Extreme value prediction of the load-effect responses of complex offshore structures such as the floating wind turbine (FWT) is crucial in ultimate limit state (ULS) design. This paper considers two cases to understand the ...

    • On-Board Trend Analysis for Cargo Vessel Hull Monitoring Systems 

      Gaidai, Oleg; Storhaug, Gaute; Wang, Fang; Yan, Ping; Naess, Arvid; Wu, Yu; Xing, Yihan; Sun, Jiayao (Peer reviewed; Journal article, 2022)
      With the increased focus on sustainability, de-carbonization and digitalization also the shipping industry is scrutinized. High steel weight implies high initial CO2 footprint but also higher operational CO2 footprint. ...

    • Rotating shaft's non-linear response statistics under biaxial random excitation, by path integration 

      Gaidai, Oleg; Dimentberg, Michael; Næss, Arvid (Journal article; Peer reviewed, 2018)
      The response of rotating shaft to random excitations is of practical concern for various rotor type engine design applications, with high level of potential external forces of stochastic nature. Authors have studied ...

    • Statistics of extreme hydroelastic response for large ships 

      Gaidai, Oleg; Storhaug, Gaute; Næss, Arvid (Journal article; Peer reviewed, 2018)
      For the safety of crew, ship and cargo, it is essential to assess all aspects of the wave loading to ensure that ships are designed to endure extreme events. This paper describes a practical method for prediction of extreme ...