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Steady Flows Of Cosserat-bingham Fluids
(Wiley-BlackwellHoboken, 2017)
Development of a low-Reynolds-number k-ω model for FENE-P fluids
(2013-01-01)
A low-Reynolds-number k-ω model for Newtonian fluids has been developed to predict drag reduction of viscoelastic fluids described by the FENE-P model. The model is an extension to viscoelastic fluids of the model for ...
Development of a low-Reynolds-number k-ω model for FENE-P fluids
(2013-01-01)
A low-Reynolds-number k-ω model for Newtonian fluids has been developed to predict drag reduction of viscoelastic fluids described by the FENE-P model. The model is an extension to viscoelastic fluids of the model for ...
Scale-to-scale energy transfer rate in compressible two-fluid plasma turbulence
(American Physical Society, 2020-04)
We derive the exact relation for the energy transfer in three-dimensional compressible two-fluid plasma turbulence. In the long-time limit, we obtain an exact law which expresses the scale-to-scale average energy flux rate ...
Vanishing viscosity for non-homogeneous asymmetric fluids in R-3
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2007)
Effect of the solvent viscosity on pure electro-osmotic flow of viscoelastic fluids
(2018-09-01)
In this work the fully-developed steady channel flow of the homogeneous polymer solution studied in [4] is revisited and a completely new analytical solution is proposed which is devoid of the limitations of the previous ...
Discussion of "Fines classification based on sensitivity to pore-fluid chemistry" by Junbong Jang and J. Carlos Santamarina
(American Society of Civil Engineers, 2017-07)
Atterberg limits of fine soils are strongly influenced by particlefluid interaction phenomena, fluid chemistry, particle mineralogy, and testing procedure (Koumoto and Houlsby 2001). The original paper proposed a very ...
Automatic cloud instance provisioning with quality and efficiency
(2021)
A distinctive feature of cloud computing is that it enables customers to dynamically summon server instances. Service providers facing uncertain demand patterns may exploit this feature by setting automatic provisioning ...