hietwll / LBM_Taichi

Fluid solver based on Lattice Boltzmann method implemented by taichi programming language

LBM_Taichi

This script implements a 2d fluid solver based on Lattice Boltzmann method using Taichi programming language. The high-performance cross-platform CFD (computational fluid dynamics) solver can be achieved within 200 lines thanks to taichi.

Usage

To numerically solve a fluid-dynamics problem, the domain size, fluid property, boundary conditions and initial conditions should be given. In this code, these parameters can be specified by instancing the solver:

lbm = lbm_solver(nx, ny, niu, bc_type, bc_value)

The meaning of each parameter is:

• nx, ny define domain size. Note that they are given in dimensionless form (ie. lattice units), which assumes dx = dy = dt = 1.0, where dx and dy are discrete grid sizes, dt is the time interval of one step.
• niu is the fluid viscosity in lattice units. Note there is a transformation between SI units and lattice units.
• bc_type is a four-element python list denoting the [left, top, right, bottom] boundary condition type. The velocity at the boundary is set based on bc_type. If bc_type = 0, velocity is set as constant value (Dirichlet condition ) given in bc_value. If bc_type = 1, the derivative of velocity in boundary normal direction is set to zero (Neumann condition).
• bc_value is a (4,2) python list, it gives constant velocity value at each boundary when bc_type = 0.

Example1: Lid-driven Cavity Flow

Lid-driven cavity flow is benchmark fluid-dynamics problem used to verify the solver accuracy. To compare simulation results based on different unit-systems, the flow Reynolds number Re should keep the same. In this case, Re is defined as Re = U * L / niu, so a solver with Re = 1000 can be given by:

lbm = lbm_solver(256, 256, 0.0255, [0, 0, 0, 0], 
      [[0.0, 0.0], [0.1, 0.0], [0.0, 0.0], [0.0, 0.0]])

Here Re = U * (nx-1) * dx / niu = 0.1 * 255.0 / 0.0255. The velocity magnitude is shown in the contour below and x-component of velocity in the middle line is compared with result from literature.

Example2: Kármán Vortex Street

Kármán vortex street is an interesting phenomenon in fluid dynamics. When fluids flow pass blunt body (say a cylinder), there exists a repeating pattern of swirling vortices, caused by a process known as vortex shedding. The Reynolds number of this flow is defined as Re = U * D / niu, where D means diameter. A solver with Re = 200 can be given by:

lbm = lbm_solver(401, 101, 0.005, [0, 0, 1, 0],
      [[0.1, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]],
      1, [80.0, 50.0, 10.0])