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Lattice algorithms for nonlinear physics

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Simple LB suffers fromnumerical instabilities when the collisional relaxation rate is reduced to model high Reynolds number turbulence (1). Various groups (2, 3) then introduced systematic entropic representationswhich satisfiedadiscreteH-theoremand thus… Click to show full abstract

Simple LB suffers fromnumerical instabilities when the collisional relaxation rate is reduced to model high Reynolds number turbulence (1). Various groups (2, 3) then introduced systematic entropic representationswhich satisfiedadiscreteH-theoremand thus led to stable numerical algorithms for Navier-Stokes (NS) turbulence. However, twomajor drawbacksbecame clear (4): (1) a Newton–Raphson iterative solver must be applied at every lattice node and at every time step in order to determine the entropy function isosurface; and (2) the entropic stabilizing factor directly effects the transport coefficient, leading to a time–space varying eddy transport coefficient. Recently, the Karlin group (3, 5) has developed an analytic entropy algorithm that leaves the viscosity ν invariant. It is based on a multiple relaxation LB model and the splitting of the distribution function fi into a moment-conserving ki set, a shear/stress si set and the remaining higher order set of moments hi. (There is a 1-1 onto map between the number of velocities and the number of moments). Thus the standard LB algorithm

Keywords: lattice algorithms; physics; number; algorithms nonlinear; nonlinear physics

Journal Title: Radiation Effects and Defects in Solids
Year Published: 2017

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