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Meshless Galerkin Method Structural Topology Optimization Method Based on GPU Parallel Acceleration

A technology of topology optimization and Galerkin method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as large amount of calculation and long time consumption, achieve strong adaptability, reduce assembly time, and avoid global problems search results

Inactive Publication Date: 2016-11-23
XIANGTAN UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for optimizing the structure topology of the meshless Galerkin method based on GPU parallel acceleration for the problems of large amount of calculation and long time consumption in the structural topology optimization of the meshless Galerkin method

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  • Meshless Galerkin Method Structural Topology Optimization Method Based on GPU Parallel Acceleration
  • Meshless Galerkin Method Structural Topology Optimization Method Based on GPU Parallel Acceleration
  • Meshless Galerkin Method Structural Topology Optimization Method Based on GPU Parallel Acceleration

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Embodiment Construction

[0042] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0043] see figure 1 , the implementation steps of the gridless Galerkin method structure topology optimization method based on GPU parallel acceleration in the present invention are as follows:

[0044] (1) Import the node coordinates of the gridless computing model, finite element background integral grid data, local search grid data, essential boundary data, penalty coefficients, node influence domain coefficients, material physical parameters, and structural topology optimization parameters into the host memory ;

[0045] (2) In the CPU, according to the model finite element background integral grid data and essential boundary data stored in the host memory, the integration points are respectively arranged for the interior of the model, the force boundary and the displacement boundary. When it is a two-dimensional geometric model problem, ...

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Abstract

The invention discloses a grid-free Galerkin method structural topology optimization method based on GPU parallel acceleration. The grid-free Galerkin method structural topology optimization method mainly comprises the steps of 1 reading data into a host machine memory, arranging integral points through a CPU, establishing the relation of nodes, the integral points and local lattice searching, computing node influence domain radiuses and the integral point definition domain radiuses, confirming the relation of the nodes and the integral points and then copying the data into a GPU global memory; 2 setting different GPU thread blocks and the thread number according to different calculating data; 3 performing asynchronous assembly through the CPU and a GPU and solving a grid-free Galerkin method global discrete system equation to obtain a displacement approximate solution; 4 performing structural topology optimization calculation in the GPU and judging whether iteration is finished or not and a result is output or not according to residual errors of design variables. The grid-free Galerkin method structural topology optimization method is low in hardware cost and good in universality and can reduce a large amount of time consumption on the premise that the engineering accuracy requirement is met.

Description

technical field [0001] The invention relates to the field of structural optimization in computer-aided engineering, in particular to a method for optimizing the structure topology of a gridless Galerkin method based on GPU (Graphics Processing Unit) parallel acceleration. Background technique [0002] In the past two decades, in the field of computational mechanics, mesh-free methods have come to the fore. The gridless method does not use the grid unit that interpolates and approximates the field variables, but uses the nodes that approximate and approximate the field variables, and uses the weight function to represent the node information. Now more than ten mesh-free methods have been developed, such as smooth particle hydrodynamics method, mesh-free Galerkin method, etc. The meshless Galerkin method is a very popular meshless method. It uses the moving least square method to construct the displacement approximate shape function, and obtains the global governing equation ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 龚曙光刘奇良卢海山唐芳王恒宇王龙
Owner XIANGTAN UNIV
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