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Structure self-adaptive optimization design method and device, equipment and medium

An optimization design and self-adaptive technology, applied in design optimization/simulation, special data processing applications, etc., can solve the problem of low efficiency in structural design optimization processing, and achieve the effect of improving optimization processing efficiency

Active Publication Date: 2021-09-03
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, in the process of realizing the present invention, the inventors found that in the aforementioned traditional structural design optimization methods, there is a technical problem of low structural design optimization processing efficiency

Method used

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  • Structure self-adaptive optimization design method and device, equipment and medium
  • Structure self-adaptive optimization design method and device, equipment and medium
  • Structure self-adaptive optimization design method and device, equipment and medium

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Embodiment Construction

[0060] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the specification of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0062] In addition, the technical solutions of the various embodiments of the prese...

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Abstract

The invention relates to a structure self-adaptive optimization design method and device, equipment and a medium. The method comprises the steps: generating initial sampling points through a Latin hypercube experiment design method, and carrying out finite element analysis; constructing an agent model by adopting a radial basis function according to the design variable; performing multi-target non-precise search on the multi-target optimization problem of the proxy model by using a multi-target genetic algorithm; performing parallel sampling on each obtained search sample point; calling a finite element analysis simulation model to evaluate response values of the newly-added sampling points, adding the newly-added sampling points and finite element analysis results of the newly-added sampling points into the sample complete set, and updating the agent model; adaptively adjusting a development point proportion and an exploration point proportion in parallel sampling; adding all newly-added sampling points obtained by searching into a sample point elite library, then carrying out non-dominated grade sorting, and selecting a previous elite sample point with a higher dominated grade as a new sample point elite library; and if the new sample point elite library meets the requirement, outputting a final optimization design result. The treatment efficiency is relatively high.

Description

technical field [0001] The present application relates to the technical field of structural optimization design, in particular to a structure adaptive optimal design method, device, equipment and medium. Background technique [0002] With the gradual improvement of numerical calculation theory and the development of computing power, high-fidelity subject simulation models have been widely used in modern engineering design problems, especially in structural design optimization problems. High-fidelity subject simulation models (such as finite element analysis models and computational fluid dynamics models) can capture complex physical processes of real-world phenomena with high precision, improving the reliability of design results. However, the use of high-fidelity disciplinary simulation models in engineering design problems inevitably brings a huge computational cost, especially in engineering optimization design problems with expensive disciplinary simulation models. [0...

Claims

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Application Information

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IPC IPC(8): G06F30/23G06F30/27
CPCG06F30/23G06F30/27
Inventor 王文杰武泽平王鹏宇张为华杨家伟
Owner NAT UNIV OF DEFENSE TECH
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