Blar i NTNU Open på forfatter "Depina, Ivan"

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    • Reliability Analysis of Monopile Foundations for Offshore Wind Turbines 

      Depina, Ivan (Doctoral thesis at NTNU;2016:171, Doctoral thesis, 2016)
      Initiated by the increasing energy demands and instabilities in oil and gas prices there is an ongoing transition from the conventional to the renewable energy sources across Europe. The goal is to satisfy 20% of the energy ...

    • Reliability analysis with Metamodel Line Sampling 

      Depina, Ivan; Le, Thi Minh Hue; Fenton, Gordon A.; Eiksund, Gudmund Reidar (Journal article; Peer reviewed, 2016)
      This paper presents an approach for reliability analysis of engineering structures, referred to as Metamodel Line Sampling (MLS). The approach utilizes a metamodel of the performance function, within the framework of the ...

    • Reliability-based Design of a Monopile Foundation for Offshore Wind Turbines based on CPT Data. 

      Overgård, Ida Elise (Master thesis, 2015)
      A reliability-based design optimization (RBDO) of a monopile foundation for offshore wind turbines is conducted to optimize monopile design criteria by explicitly accounting for the effects of uncertainties. The RBDO in ...

    • Site characterization using Kriging and Machine Learning approaches 

      Godoy Leiva, Cristian (Master thesis, 2019)
      Site characterization has a great number of uncertainties associated with the nature of soil formation and deposition, but also due to technical and economic constraints. In geotechnical practice, these uncertainties have ...

    • Slope stability assessment of Longyeardalen, Svalbard 

      Ciorescu, Marian Bogdan (Master thesis, 2023)
      Slope stability assessment can represent a highly complex topic of investigation, requiring a considerable amount of field information in order to provide consistent predictions or to reconstruct historical events. In the ...

    • Slope Stability Assessment with Bayesian Updating 

      Hult, Astrid (Master thesis, 2018)
      This thesis aims to explore the potential of implementing Bayesian updating in the probabilistic analysis of a geotechnical slope stability assessment. Bayesian updating is a well-defined method for combining supplementary ...

    • Soil classification from geotechnical data by Bayesian inversion with Markov fields 

      Krogstad, Ask S. (Master thesis, 2016)
      Soil classification from geotechnical data by Bayesian inversion with Markov fields.