A triple acceleration topology optimization method

A topology optimization and multi-grid technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve large-scale low efficiency and other problems, and achieve obvious acceleration effects, significant acceleration effects, and good acceleration effects

Active Publication Date: 2019-06-04
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0005] The object of the present invention is to provide a topology optimization method of triple acceleration, to solve the low efficiency problem of traditional topology optimization method on large-scale problems

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  • A triple acceleration topology optimization method
  • A triple acceleration topology optimization method
  • A triple acceleration topology optimization method

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and examples, but the protection scope of the present invention is not limited to the range expressed in the examples. In addition, the technical features involved in the various embodiments of the present invention can be combined with each other as long as they do not constitute conflicts with each other.

[0041] The present invention can be used in various grid cell-based topology optimization methods. The following is an example of a triple accelerated topology optimization method based on variable density method (SIMP). The variable density method is to have a definite functional relationship between the elastic modulus of each unit and its relative density, and take the relative density of the unit as the design variable. The basic model of the minimum compliance optimization problem based on the variable density method is as follows:

[0042] Findx=(x 1 ,x 2 …x...

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Abstract

The invention discloses a triple acceleration topology optimization method. According to the invention, by improving three aspects of multi-grid density mapping, the conjugate gradient method based onpre-processing and an initial value, and local updating, a design domain is divided into a plurality of layers of grids with different thicknesses through multi-grid density mapping, topological solving is conducted on a coarse grid layer firstly, an obtained optimization result is mapped to a next layer of fine grid layer to serve as an initial value, a topological optimization process on the fine grid layer skips redundant iteration, and the topological optimization process is accelerated; According to the conjugate gradient method based on preprocessing and an initial value, a preprocessing regulator and the initial value are added to iterative solution of a topological optimization equation, and the solution speed is increased; in the local updating, an update unit is selected, and the number of unit updates during iteration is reduced to achieve an acceleration effect. Based on the method, triple acceleration of topological optimization is realized, the topological optimization process is remarkably accelerated, and an optimization result with high precision and low calculation cost is obtained.

Description

technical field [0001] The invention belongs to the technical field of topology optimization, in particular to a triple-acceleration topology optimization method, technical background [0002] Topology optimization is an important structural design method, which is to find the optimal structural topological shape in the design domain through the given constraints. It is an emerging interdisciplinary field, involving mathematics, mechanics and computer science, which has an important impact on the manufacturing industry and the construction industry, especially the aerospace, automotive and energy industries. With the rapid increase in computing power, topology optimization has also flourished. [0003] With the continuous development of engineering technology, the requirements for topology optimization are getting higher and higher. One such challenge is the large-scale topology optimization problem. For large-scale problems, traditional optimization methods are inefficie...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 王英俊廖中源
Owner SOUTH CHINA UNIV OF TECH
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