Lagrangian Stochastic Modelling of Liquid Flow in a Mechanically Agitated Vessel

2021 ◽  
pp. 117318
Author(s):  
Hamzah A. Sheikh ◽  
Chiya Savari ◽  
Mostafa Barigou
Keyword(s):  
Liquid Flow ◽  
Stochastic Modelling ◽  
Agitated Vessel ◽  
Lagrangian Stochastic Modelling

scholarly journals Lagrangian stochastic modelling of acceleration in turbulent wall-bounded flows

2020 ◽  
Vol 892 ◽  
Author(s):  
Alessio Innocenti ◽  
Nicolas Mordant ◽  
Nick Stelzenmuller ◽  
Sergio Chibbaro
Keyword(s):  
Stochastic Modelling ◽  
Lagrangian Stochastic Modelling ◽  
Wall Bounded Flows ◽  
Image Position ◽  
Turbulent Wall

LIQUID FLOW IN IMPELLER REGION OF AN UNBAFFLED AGITATED VESSEL WITH UNSTEADILY FORWARD-REVERSE ROTATING IMPELLER

2007 ◽  
Vol 194 (9) ◽  
pp. 1229-1240 ◽  
Author(s):  
Masanori Yoshida ◽  
Masahiro Shigeyama ◽  
Tomoko Hiura ◽  
Kazuaki Yamagiwa ◽  
Akira Ohkawa ◽  
...  
Keyword(s):  
Liquid Flow ◽  
Agitated Vessel ◽  
Rotating Impeller

Liquid flow in impeller region of an unbaffled agitated vessel with an angularly oscillating impeller

2008 ◽  
Vol 86 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Masanori Yoshida ◽  
Tomoko Hiura ◽  
Kazuaki Yamagiwa ◽  
Akira Ohkawa ◽  
Shuichi Tezura
Keyword(s):  
Liquid Flow ◽  
Agitated Vessel

On Markov modelling of turbulence

1994 ◽  
Vol 280 ◽  
pp. 69-93 ◽  
Author(s):  
Gianni Pedrizzetti ◽  
Evgeny A. Novikov
Keyword(s):  
Probability Density ◽  
Velocity Vector ◽  
Isotropic Turbulence ◽  
Probability Distributions ◽  
Three Dimensional ◽  
Stochastic Modelling ◽  
Order Structure ◽  
Markov Modelling ◽  
Lagrangian Stochastic Modelling ◽  
Non Gaussian

We consider Lagrangian stochastic modelling of the relative motion of two fluid particles in the inertial range of a turbulent flow. Eulerian analysis of such modelling corresponds to an equation for the Eulerian probability distribution of velocity-vector increments which introduces a hierarchy of constraints for making the model consistent with results from the theory of locally isotropic turbulence. A nonlinear Markov process is presented, which is able to satisfy exactly, in the statistical sense, incompressibility, the exact results on the third-order structure function, and the experimental second-order statistics. The corresponding equation for the Eulerian probability density of velocity-vector increments is solved numerically. Numerical results show non-Gaussian statistics of the one-dimensional Lagrangian probability distributions, and a complex shape of the three-dimensional Eulerian probability density function. The latter is then compared with existing experimental data.

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