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Evolution method of multi-layer grid LBM with buffer area

A multi-layer grid and buffer technology, applied in design optimization/simulation, instrumentation, electrical digital data processing, etc., can solve problems such as increasing time consumption, memory consumption, and reducing algorithm calculation efficiency

Pending Publication Date: 2020-01-17
SHANGHAI OCEAN UNIV
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  • Claims
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Problems solved by technology

It leads to a large amount of memory consumption, and passing parameters when calling, applying for space, and restoring the scene when returning will increase time consumption
Reduces the computational efficiency of the entire algorithm and also reduces the parallelism of the method

Method used

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  • Evolution method of multi-layer grid LBM with buffer area
  • Evolution method of multi-layer grid LBM with buffer area
  • Evolution method of multi-layer grid LBM with buffer area

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Embodiment Construction

[0068] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0069] A kind of multi-layer grid LBM evolution method with a buffer zone disclosed in this embodiment includes the following steps:

[0070] At the junction of the coarse grid and the fine grid, record two columns of coarse grid points that have been refined and the fine grid points generated after refinement to form the grid points of the set buffer zone;

[0071] Initialize the multi-layer grid of the buffer zone, and perform LBM evolution on the grid points of the coarse grid and the fine grid respectively, until the coarse grid and the fine grid of the buffer zone are consistent in time;

[0072] Perform spatial interpolation on the coarse grid and the fine grid respectively according to the set interpolation formula, and calculate and obtain the distribution functions of the coarse grid and the fine grid on the same time buffer;

[0073] Calculate flow...

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Abstract

The invention discloses an evolution method of a multi-layer grid LBM with a buffer area, solving the defects that existing grid encryption is low in calculation efficiency, high in complexity and large in calculation amount are overcome. The evolution method includes the steps: recording two columns of thinned coarse grid points and thinned fine grid points at the junction of a coarse grid and afine grid, and forming grid points of a set buffer area; initializing the multi-layer grids of the buffer area, and respectively carrying out LBM evolution on grid points of the coarse grids and the fine grids until the coarse grids and the fine grids of the multi-layer grids are consistent in time; respectively carrying out spatial interpolation calculation on the coarse mesh and the fine mesh according to a set interpolation formula to obtain distribution functions of the coarse mesh and the fine mesh; and performing calculation of flow field information amount. The evolution method of a multi-layer grid LBM with a buffer area sets the buffer area at the joint of different layers of grids, so that the complexity of a calculation method and an algorithm is reduced, and the parallelism ofthe method and the precision of a calculation result are improved, and the calculation time is shortened.

Description

technical field [0001] The invention relates to the field of fluid dynamics calculation, in particular to a multi-layer grid LBM evolution method with a buffer zone. Background technique [0002] The lattice Boltzmann method is derived from the lattice gas automata method (LGCA), which is an application of the broader cellular automata (CA) to fluid mechanics. In the 1950s, Von Neumann first proposed a CA mathematical model that is discrete in time and space, and applied it to simulate the self-replication function of organisms. Since then, Broadwell et al. proposed a discrete velocity CA model for studying the fluid shock structure, but the time and space are still continuous. Since CA can numerically solve macroscopic physical bodies described by nonlinear partial differential equations at a coarse-grained scale from a microscopic point of view, in order to study the transport properties of fluids, French Hardy, Pomeau, and Pazzis first proposed a completely discrete HPP ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/28G06F119/14
Inventor 刘智翔王振华刘慧超
Owner SHANGHAI OCEAN UNIV
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