turbulent drag
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Author(s):  
Rodrigo S. Mitishita ◽  
Gwynn J. Elfring ◽  
Ian. A. Frigaard

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ivan Marusic ◽  
Dileep Chandran ◽  
Amirreza Rouhi ◽  
Matt K. Fu ◽  
David Wine ◽  
...  

AbstractSimulations and experiments at low Reynolds numbers have suggested that skin-friction drag generated by turbulent fluid flow over a surface can be decreased by oscillatory motion in the surface, with the amount of drag reduction predicted to decline with increasing Reynolds number. Here, we report direct measurements of substantial drag reduction achieved by using spanwise surface oscillations at high friction Reynolds numbers ($${{{\mathrm{Re}}}_{\tau }}$$ Re τ ) up to 12,800. The drag reduction occurs via two distinct physical pathways. The first pathway, as studied previously, involves actuating the surface at frequencies comparable to those of the small-scale eddies that dominate turbulence near the surface. We show that this strategy leads to drag reduction levels up to 25% at $${{{{{{{{\mathrm{Re}}}}}}}}}_{\tau }$$ Re τ = 6,000, but with a power cost that exceeds any drag-reduction savings. The second pathway is new, and it involves actuation at frequencies comparable to those of the large-scale eddies farther from the surface. This alternate pathway produces drag reduction of 13% at $${{{{{{{{\mathrm{Re}}}}}}}}}_{\tau }$$ Re τ = 12,800. It requires significantly less power and the drag reduction grows with Reynolds number, thereby opening up potential new avenues for reducing fuel consumption by transport vehicles and increasing power generation by wind turbines.


2021 ◽  
Vol 47 (10) ◽  
pp. 805-811
Author(s):  
S. S. Kapuza ◽  
V. K. Chagovets ◽  
S. S. Sokolov ◽  
V. A. Vrakina ◽  
T. V. Chagovets

2021 ◽  
pp. 1-32
Author(s):  
M. Bernardini ◽  
E. J. García Cartagena ◽  
A. Mohammadi ◽  
A. J. Smits ◽  
S. Leonardi

2021 ◽  
Vol 919 ◽  
Author(s):  
Pieter Berghout ◽  
Pim A. Bullee ◽  
Thomas Fuchs ◽  
Sven Scharnowski ◽  
Christian J. Kähler ◽  
...  

Abstract


2021 ◽  
Author(s):  
Kevin Pierce ◽  
Marwan Hassan

<p>Bed load experiments reveal a range of possibilities for the downstream velocity distributions of moving particles, including normal, exponential, and gamma distributions. Although bed load velocities are key for understanding fluctuations in transport rates, existing models have not accounted for the full range of observations. Here, we present a generalized Langevin model of particle transport that includes turbulent drag and episodic particle-bed collisions. By means of analytical calculations, we demonstrate that momentum dissipation by particle-bed collisions controls the form of the bed load velocity distribution. As collisions vary between elastic and inelastic, the velocity distribution interpolates between normal and exponential. These results add context to conflicting experiments on bed load velocities and suggest that granular interactions regulate sediment dynamics and transport rate fluctuations.</p>


AIP Advances ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 035016
Author(s):  
Zexiang Li ◽  
Xiangxin Dang ◽  
Pengyu Lv ◽  
Huiling Duan

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