Multi-scale topology optimization method based on an agent model

Abstract

The invention belongs to the technical field of structural optimization design, and discloses a multi-scale topology optimization method based on an agent model. The method comprises the following steps: (1) optimizing by adopting a topological optimization method based on a parameterized level set to obtain optimal topological configurations of various prototype microstructures; (2) carrying outinterpolation on the optimized level set function of the prototype microstructure to obtain equivalent attributes of the non-uniform microstructure, and then constructing a prediction model by takingthe non-uniform microstructure as a sample point to predict the equivalent attributes of all macroscopic units in a macroscopic structure domain; and (3) optimizing material distribution in the macrostructure domain by adopting a variable thickness method, so that the performance of the macrostructure is optimal. By means of the method, the geometric and pointwise macroscopic unit configurations of the macroscopic structure and the joint optimization of the positions of the macroscopic unit configurations in the macroscopic structure domain are achieved, the material potential is brought intoplay to the maximum extent with the low calculation cost, material consumption is saved, and the cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of structural optimization design, and more specifically relates to a multi-scale topology optimization method based on an agent model. Background technique [0002] Multiscale structure is a typical porous structure with excellent mechanical properties such as high specific stiffness, high specific strength, energy absorption, thermal insulation, etc. It is widely used in aerospace, automotive industry, communication electronics and other related structural design fields. Multi-scale topology optimization design is a new digital structure design method, which can fully explore the design potential of macro and micro scales, and achieve the best performance of the structure with the least amount of materials or the lowest cost. [0003] At present, those skilled in the art have done some research, such as document 1: "Wang Y, Wang MY, Chen F (2016) Structure-material integrated design by level sets Structura...

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Problems solved by technology

However, this method requires separate optimization of each microstructure in the macro design domain, which fully explores the design space of the macro and micro scales, and the computational cost is high.

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