Blar i NTNU Open på forfatter "Strand, Andreas"

Viser treff 1-6 av 6

    • Closure Law Model Uncertainty Quantification 

      Strand, Andreas; Kjølaas, Jørn; Bergstrøm, Trond Harald; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)
      The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty ...

    • Repeatability in a multiphase pipe flow case study 

      Strand, Andreas; Brekken, Christian; Leinan, Paul Roger; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)
      A high degree of repeatability is most often an underlying assumption for research and development based on multiphase flow experiments. In this paper repeatability in multiphase flow experiments are studied through an ...

    • Statistical Analysis of Metal Processes 

      Strand, Andreas (Master thesis, 2017)
      Electric smelting furnaces are complex systems that are not easily explained by a physical or chemical model. However, a statistical model based on observed quantities may be just as good. Among many attemps of modelling ...

    • Uncertainty propagation through a point model for steady-state two-phase pipe flow 

      Strand, Andreas; Smith, Ivar Eskerud; Unander, Tor Erling; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2020)
      Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present ...

    • Uncertainty quantification and sensitivity analysis for computational FFR estimation in stable coronary artery disease 

      Fossan, Fredrik Eikeland; Sturdy, Jacob; Muller, Lucas Omar; Strand, Andreas; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Journal article; Peer reviewed, 2018)
      Purpose The main objectives of this study are to validate a reduced-order model for the estimation of the fractional flow reserve (FFR) index based on blood flow simulations that incorporate clinical imaging and ...

    • Uncertainty quantification for multiphase flow 

      Strand, Andreas (Doctoral theses at NTNU;2021:410, Doctoral thesis, 2021)
      The purview of this thesis is insight into, and development of, methods for uncertainty quantification in multiphase flow. The work is directed towards commercial simulators for transport of gas and liquid in pipelines and ...