Bendiks Jan Boersma
Delft University of Technology
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Featured researches published by Bendiks Jan Boersma.
Physics of Fluids | 1998
Bendiks Jan Boersma; Geert Brethouwer; F. T. M. Nieuwstadt
In this paper we consider the direct numerical simulation (DNS) of a spatially developing free round jet at low Reynolds numbers. Simulation of a spatially evolving flow such as the jet requires boundary conditions, which allow entrainment into the turbulent flow across the lateral boundaries of the computational domain. The boundary conditions which satisfy this requirement are so-called traction free boundary conditions. After showing that these boundary conditions lead to a correct behavior of the velocity near the lateral boundary of the jet, we will consider the DNS of the jet flow at a Reynolds number of 2.4×103 and compare the results with experimental data obtained by Hussein et al. [J. Fluid Mech. 258, 31 (1994)] and by Panchapakesan and Lumley [J. Fluid Mech. 246, 197 (1993)]. The results of our numerical simulations agree very well with the experimental data. Next we use the DNS to investigate the influence of the shape of the velocity profile at the jet orifice on the self-similarity scaling f...
Journal of Fluid Mechanics | 2003
Pk Ptasinski; Bendiks Jan Boersma; F. T. M. Nieuwstadt; Ma Martien Hulsen; van den Bhaa Ben Brule; Jcr Hunt
It is well known that the drag in a turbulent flow of a polymer solution is significantly reduced compared to Newtonian flow. Here we consider this phenomenon by means of a direct numerical simulation of a turbulent channel flow. The polymers are modelled as elastic dumbbells using the FENE-P model. In the computations the polymer model is solved simultaneously with the flow equations, i.e. the polymers are deformed by the flow and in their turn influence the flow structures by exerting a polymer stress. We have studied the results of varying the polymer parameters, such as the maximum extension, the elasticity and the concentration. For the case of highly extensible polymers the results of our simulations are very close to the maximum drag reduction or Virk (1975) asymptote. Our simulation results show that at approximately maximum drag reduction the slope of the mean velocity profile is increased compared to the standard logarithmic profile in turbulent wall flows. For the r.m.s. of the streamwise velocity fluctuations we find initially an increase in magnitude which near maximum drag reduction changes to a decrease. For the velocity fluctuations in the spanwise and wall-normal directions we find a continuous decrease as a function of drag reduction. The Reynolds shear stress is strongly reduced, especially near the wall, and this is compensated by a polymer stress, which at maximum drag reduction amounts to about 40% of the total stress. These results have been compared with LDV experiments of Ptasinski et al. (2001) and the agreement, both qualitatively and quantitatively, is in most cases very good. In addition we have performed an analysis of the turbulent kinetic energy budgets. The main result is a reduction of energy transfer from the streamwise direction, where the production of turbulent kinetic energy takes place, to the other directions. A substantial part of the energy production by the mean flow is transferred directly into elastic energy of the polymers. The turbulent velocity fluctuations also contribute energy to the polymers. The elastic energy of the polymers is subsequently dissipated by polymer relaxation. We have also computed the various contributions to the pressure fluctuations and identified how these change as a function of drag reduction. Finally, we discuss some cross-correlations and various length scales. These simulation results are explained here by two mechanisms. First, as suggested by Lumley (1969) the polymers damp the cross-stream or wall-normal velocity fluctuations and suppress the bursting in the buffer layer. Secondly, the ‘shear sheltering’ mechanism acts to amplify the streamwise fluctuations in the thickened buffer layer, while reducing and decoupling the motions within and above this layer. The expression for the substantial reduction in the wall drag derived by considering the long time scales of the nonlinear fluctuations of this damped shear layer, is shown to be consistent with the experimental data of Virk et al. (1967) and Virk (1975).
Journal of Fluid Mechanics | 2006
Wim-Paul Breugem; Bendiks Jan Boersma; R.E. Uittenbogaard
Direct numerical simulations (DNS) have been performed of turbulent flow in a plane channel with a solid top wall and a permeable bottom wall. The permeable wall is a packed bed, which is characterized by the mean particle diameter and the porosity. The main objective is to study the influence of wall permeability on the structure and dynamics of turbulence. The flow inside the permeable wall is described by means of volume-averaged Navier–Stokes equations. Results from four simulations are shown, for which only the wall porosity (
Physics of Fluids | 2008
P. H. Mortensen; Helge I. Andersson; J. J. J. Gillissen; Bendiks Jan Boersma
\epsilon_c
Physics of Fluids | 2005
Wim-Paul Breugem; Bendiks Jan Boersma
) is changed. The Reynolds number based on the thickness of the boundary layer over the permeable wall and the friction velocity varies from
Physics of Fluids | 2013
Ville Vuorinen; J. Yu; S. Tirunagari; O. Kaario; M. Larmi; Christophe Duwig; Bendiks Jan Boersma
\hbox{\it Re}_{\tau}^p\,{=}\,176
Fluid Dynamics Research | 2001
C. L. Lubbers; Geert Brethouwer; Bendiks Jan Boersma
for
Physics of Fluids | 2000
Ionut Danaila; Bendiks Jan Boersma
\epsilon_c\,{=}\,0
Physics of Fluids | 1998
Bas van Haarlem; Bendiks Jan Boersma; F. T. M. Nieuwstadt
to
Journal of Computational Physics | 2011
Bendiks Jan Boersma
\hbox{\it Re}_{\tau}^p\,{=}\,498