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  • 1.
    Amoignon, Olivier
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Pralits, Jan
    Hanifi, Ardeshir
    Berggren, Martin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Henningson, Dan
    Shape optimization for delay of laminar-turbulent transition2006In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 44, p. 1009-1024Article in journal (Refereed)
  • 2.
    Bull, Jonathan R.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis. Stanford University, Department of Aeronautics and Astronautics.
    Jameson, Antony
    Simulation of the Taylor–Green vortex using high­-order flux reconstruction schemes2015In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 53, no 9, p. 2750-2761Article in journal (Refereed)
  • 3.
    Dyachuk, Eduard
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
    Goude, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
    Bernhoff, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
    Dynamic Stall Modeling for the Conditions of Vertical Axis Wind Turbines2014In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 52, no 1, p. 72-81Article in journal (Refereed)
    Abstract [en]

    Unsteady aerodynamics imposes additional demands on the modeling of vertical axis wind turbines. Large variations in the angles of attack of the blades cause force oscillations, which can lead to the fatigue-associated problems. Therefore, an accurate estimation of the dynamic loads is essential for the vertical axis wind turbines design. Dynamic stall modeling is in focus because it represents complex phenomena associated with the unsteady flow conditions. The purpose of the study is to find a suitable dynamic stall model for the vertical axis wind turbine conditions. Three versions of the Leishman-Beddoes model are explicitly presented. Additional modifications are implemented for the model to work when the angles of attack change sign and have high amplitudes. All the model parameters are presented. The model is assessed against measured data. The conditions for the simulation tests are close to the vertical axis wind turbine operational conditions. Aversion of the model, originally designed for low Mach numbers, is the most accurate throughout a number of tests.

  • 4.
    Ferm, Lars
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Lötstedt, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Blockwise adaptive grids with multigrid acceleration for compressible flow1999In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 37, p. 121-123Article in journal (Refereed)
  • 5.
    Scholtysik, Martin
    et al.
    ETH Zürich.
    Müller, Bernhard
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Fanneløp, Torstein K.
    ETH Zürich.
    Numerical solution of the reduced Navier-Stokes equations for internal incompressible flows2000In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 38, p. 1603-1614Article in journal (Refereed)
  • 6. Tsynkov, Semyon
    et al.
    Abarbanel, Saul
    Nordström, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Ryaben'kii, Victor
    Vatsa, Veer
    Global artificial boundary conditions for computation of external flows with jets2000In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 38, p. 2014-2022Article in journal (Refereed)
1 - 6 of 6
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