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van den Bhaa Ben Brule

Researcher at Delft University of Technology

Publications -  12
Citations -  1097

van den Bhaa Ben Brule is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Flow (mathematics) & Constitutive equation. The author has an hindex of 11, co-authored 12 publications receiving 1047 citations. Previous affiliations of van den Bhaa Ben Brule include Royal Dutch Shell.

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Turbulent channel flow near maximum drag reduction: simulations, experiments and mechanisms

TL;DR: In this article, a simulation of a turbulent channel flow is presented, where the polymers are modelled as elastic dumbbells using the FENE-P model and the 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.
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Simulation of viscoelastic flows using Brownian configuration fields

TL;DR: In this article, an ensemble of configuration fields, representing the internal degrees of freedom of the polymers, were used to calculate viscoelastic flow stress in planar flow past two parallel plates.
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Experiments in Turbulent Pipe Flow with Polymer Additives at Maximum Drag Reduction

TL;DR: In this paper, the authors report on (two-component) LDV experiments in a fully developed tur- bulent pipe flow with a drag-reducing polymer (partially hydrolyzed polyacrylamide) dissolved in water.
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Brownian configuration fields and variance reduced CONNFFESSIT

TL;DR: In this article, the authors show that the recently proposed concept of Brownian configuration fields in viscoelastic flow calculations can be regarded as an extremely powerful extension of variance reduction techniques based on parallel process simulation.
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On the selection of parameters in the FENE-P model

TL;DR: In this paper, the authors compare the performance of the FENE and FENE-P models in different flow situations and propose to determine the parameters in the Fene-P model such that important FENE flow characteristics are recovered.