32 citations · 32 across the 4 of their papers we have counts for
4 papers
Structure-Preserving Hyper-Reduction and Temporal Localization for Reduced Order Models of Incompressible Flows
Robin Ben Klein, Benjamin Sanderse
A novel hyper-reduction method is proposed that conserves kinetic energy and momentum for reduced order models of the incompressible Navier-Stokes equations. The main advantage of…
Learning filtered discretization operators: non-intrusive versus intrusive approaches
Syver Døving Agdestein, Benjamin Sanderse
Simulating multi-scale phenomena such as turbulent fluid flows is typically computationally very expensive. Filtering the smaller scales allows for using coarse discretizations, ho…
Momentum-conserving ROMs for the incompressible Navier-Stokes equations
Henrik K. E. Rosenberger, Benjamin Sanderse
Projection-based model order reduction of an ordinary differential equation (ODE) results in a projected ODE. Based on this ODE, an existing reduced-order model (ROM) for finite vo…
Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model
Maarten J. van den Broek, Delphine De Tavernier, Benjamin Sanderse +1
Wind farm flow control aims to improve wind turbine performance by reducing aerodynamic wake interaction between turbines. Dynamic, physics-based models of wind farm flows have bee…