Mesoscopic fluids discrete-particles

Modeling Mesoscopic Fluids with Discrete-Particles — Methods, Algorithms, and Results... 

Modeling Mesoscopic Fluids with Discrete-Particles... 

Our discrete-particle approach possesses the important properties of mesoscopic systems. It can model easily the heterogeneous nature of complex fluid suspension in the presence of fluctuations. This allows for simulating processes, which cannot be modeled by computational fluid dynamics codes. We showed that our microscopic blood model can be used for simulating microscopic, multi-component blood flow under extreme conditions in presence of high acceleration [100]. 

The computational problems involving multi-million particle ensembles, found in modeling mesoscopic phenomena, were considered only recently as the typical problems. Rapid increase of computational power of modem processors and growing popularity of coarse-grained discrete particle methods, such as dissipative particle dynamics, fluid particle model, smoothed particle hydrodynamics and LEG, allow for the modehng of complex problems by using smaller shared-memory systems [101]. 

Examines the theory of electroviscoelasticity, reactive extraction in electric fields, and modeling mesoscopic fluids with discrete particles... 

In recent years, there has been great interest in developing physically inspired computational models based on the idea that the dynamics of the motion of fluid and interfaces can be represented in terms of the collective behavior of interactions of quasi-particle populations at scales smaller than macroscopic, but larger than molecular scales. These models fall in the class of mesoscopic methods - the LBM [6, 42, 45] being one. The LBM is generally based on minimal discrete kinetic models whose emergent behavior, under appropriate constraints, corresponds to the... 

The lattice Boltzmann method is a mesoscopic simulation method for complex fluid systems. The fluid is modeled as fictitious particles, and they propagate and coUide over a discrete lattice domain at discrete time steps. Macroscopic continuum equations can be obtained from this propagation-colhsion dynamics through a mathematical analysis. The particulate nature and local d3mamics also provide advantages for complex boundaries, multiphase/multicomponent flows, and parallel computation. 

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