The invention discloses an LBM fluid design optimization method based on curvature adaptive
voxel mapping and turbulence correction. The method comprises the following steps: step 1, constructing a
system; 2, carrying out initial geometric
processing; step 3, generating a curvature self-adaptive
voxel; 4, turbulence correction LBM is solved; 5, closed-
loop optimization design is carried out; according to the method,
simulation is directly carried out on the
voxel structure, so that a tedious grid division step is omitted, and the
modeling and simulation process integration level is improved. Modeling,
simulation and optimization are completed in one platform, a data
closed loop is opened, and the design iteration efficiency is remarkably improved. The lattice Boltzmann
algorithm accelerated by the GPU is adopted, rapid calculation of million-level voxels is supported, and the
simulation time is shortened. By means of the curvature self-adaptive grid technology, the number of invalid calculation units is reduced by 30%-50%. For example, in NASA
centrifugal pump simulation (2 million voxel scene), a traditional standard LBM method needs the calculated amount of 1580,000 core hours, while the method only needs 620,000 core hours, and the speed-up ratio reaches 2.55 times.