the particle with the principle aim of predicting the properties of the macroscopic particles. The
nature of the scale- bridging has been considered to be very fundamental as far as the concept of
engineering is concerned in China. The level of technology in the Chinese industries is likely to
improve with the proper understanding of LB concept. In this context, it will allow for the
incorporation of the crucial mesoscopic or microscopic physics while carrying out the recovery
of the laws of the macroscopic as well as characteristics at the computational costs which are
basically affordable (Kaiser et al.2017).
Scope of the work
This particular study was limited to development of mesoscopic computational methods based on
the Boltzmann equation and their application to turbulent flows, compressible thermal flows, and
multiphase flows.
LITERATURE REVIEW
Turbulence Modelling
Turbulence refers to a state of motion of the fluid which has been characterized by tye
occurrence of fluctuations which are random and are of varying scales during the processes o the
flow. In fact the best description has always been the pseudo-random process and its
characterization is done in terms of the individual coherent eddies of various sizes ranging from
largest eddy scale known to be responsible for driving the turbulence down to Kolmogorov
length scale. This determined by the viscosity. The challenge of turbulence modelling usually
constitutes a representation of the fluctuations at random in forms considered to be cheaper. In
other words the processes of making good use of the statistical representations instead of explicit

Development of mesoscopic computational methods | Boltzmann

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