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GPU-accelerated fluid-structure coupling simulation method through immersion boundary and lattice Boltzmann methods

A lattice Boltzmann fluid-solid and immersion boundary technology, applied in instrumentation, computing, electrical and digital data processing, etc., can solve the problems of lack of comprehensive and thorough analysis of the potential data parallelism of the immersion boundary method and lack of starting.

Inactive Publication Date: 2015-08-26
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the parallelization of the lattice Boltzmann method has been perfected day by day, the research on combining it with the immersion boundary method to simulate the fluid-solid interaction problem has not yet started, and there is no comprehensive and thorough analysis of the potential data parallelism of the immersion boundary method.

Method used

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  • GPU-accelerated fluid-structure coupling simulation method through immersion boundary and lattice Boltzmann methods
  • GPU-accelerated fluid-structure coupling simulation method through immersion boundary and lattice Boltzmann methods
  • GPU-accelerated fluid-structure coupling simulation method through immersion boundary and lattice Boltzmann methods

Examples

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Effect test

Embodiment 1

[0115] The experimental object is the change process of the central pressure of the elastic membrane when the elastic membrane returns from the elliptical state to the circular state;

[0116] (1) The calculation area is selected as a square with a side length of 1.0m, and the discretization is an orthogonal Cartesian grid of 200×200. The structure is that the semi-major axes are r a = 0.75m and r b = 0.5m oval. The equilibrium state of the structure is a circle with a radius of 0.5149m, and the number of nodes of the discrete structure is 1200.

[0117] (2) The elastic modulus of the structure is set to 0.55Gpa, and the fluid density is 1.0g / cm 3 , with a kinematic viscosity of 1.0×10 -6 m 2 / s, the initial state of the fluid is static, and the boundary is the first type of pressure boundary condition.

[0118] (3) Set the results to be output every specific period of time, run the program until the flow field and the structure are finally stabilized, and then the inter...

Embodiment 2

[0121] The experimental object is the time change process of the distance between two fixed points a and b from the center of the film when the elastic film returns from the petal-shaped state to the circular state;

[0122] (1) The calculation area is selected as a square with a side length of 2.0m, and the discretization is an orthogonal Cartesian grid of 200×200. The structure is a six-lobed film described by the polar coordinate equation ρ=0.5[1+0.4cos(6θ)], and the number of nodes of the discrete structure is 2200. The equilibrium state of the structure is a circle with a radius of 0.518m.

[0123] (2) The elastic modulus of the structure is set to 0.55Gpa, and the fluid density is 1.0g / cm 3 , with a kinematic viscosity of 1.0×10 -6 m 2 / s, the initial state of the fluid is static, and the boundary is the first type of pressure boundary condition.

[0124] (3) Set the results to be output every specific period of time, run the program until the flow field and the stru...

Embodiment 3

[0126] The experimental object is the time change process of the central pressure of the sphere and the volume of the sphere when the circular elastic film is restored from the overall outwardly stretched state to the natural circular state;

[0127] (1) The calculation area is selected as a cube with a side length of 1.0m, and the discretization is an orthogonal Cartesian grid of 64×64×64. Establish a sphere shape in the pre-processing software Gambit, with a radius of 0.2m, divide the triangular surface mesh on its surface, and output the mesh file for the main program to read.

[0128] (2) The main program reads the structure grid file output by the pre-processing software, and sets the elastic modulus of the structure to 0.55Gpa, and the fluid density to 1.0g / cm 3 , with a kinematic viscosity of 1.0×10 -6 m 2 / s, the initial state of the fluid is static, and the boundary is the first type of pressure boundary condition.

[0129] (3) Set the results to be output every sp...

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Abstract

The invention provides a GPU-accelerated fluid-structure coupling simulation method through immersion boundary and lattice Boltzmann methods. The GPU-accelerated fluid-structure coupling simulation method comprises the following steps: 1, establishing a structure body to be detected and an internal fluid immersion boundary body shape in professional pre-processing software, and dividing a boundary lattice for program read; reading boundary body shape data through a program, and setting a boundary condition of a point required to be measured and a program model parameter; calculating the boundary acting force applied to a fluid by using a finite element method according to a structure of the boundary at the current time and a reference structure; diffusing the boundary acting force to surrounding fluids through the Dirac function; solving a Navier-Stokes equation carrying an external force term by using the lattice Boltzmann method; interpolating the fluid speed into the boundary through the Dirac function to obtain a boundary movement speed to further update the boundary position; repeatedly performing the steps 3-6 till the updated boundary position reaches an calculated ending point. According to the GPU-accelerated fluid-structure coupling simulation method, structure bodies in any shapes can be processed, an underlying fluid lattice does not require to be reconstructed in the calculation process, and the calculation efficiency is high.

Description

technical field [0001] The invention belongs to the intersection field of computational fluid dynamics and computational solid mechanics, and particularly relates to the application of high-performance computing in the above fields. Background technique [0002] Interactions between fluids and deformable structures are ubiquitous in nature, especially in biological tissues and organs. Typical examples include insect wings, fish fins, human heart valves, and vocal cords. Although the above-mentioned structures belong to the research objects in the field of anatomy or physiology, their kinematic characteristics in three-dimensional space and their changing spatial shapes are crucial to the completion of specified functions of organisms. Because of the severe deformations experienced by structures and the inherent complexity of the surrounding flow field, correctly simulating fluid-structure interaction in 3D remains one of the great academic challenges so far. [0003] Tradit...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 吴家阳程永光张春泽刁伟
Owner WUHAN UNIV
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