A double-scale connectable topology optimization method based on material field series expansion

By using a method based on material field series expansion, the problems of long computation time and poor microstructure connectivity in multi-scale structural design were solved, achieving efficient and accurate two-scale topology optimization and improving the load-bearing capacity of aerospace structures.

CN116861559BActive Publication Date: 2026-05-29HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
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Patent Information

Application Number
CN202310836555.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-07-10
Publication Date
2026-05-29
Estimated Expiration
2043-07-10

AI Technical Summary

Technical Problem

Existing parallel topology optimization design for multi-scale structures suffers from problems such as long computation time, numerous design variables, and poor microstructure connectivity, resulting in low optimization efficiency and large performance prediction errors, making it difficult to apply in practical applications in the aerospace field.

Method used

A method based on material field series expansion is adopted, which introduces macroscopic and microscopic material field functions to characterize the structural distribution, and implicitly incorporates the connectivity of microstructures into the optimization model to reduce design variables. The method combines material field series expansion and SIMP interpolation with finite element analysis and gradient optimization algorithms to achieve natural connectivity of microstructures.

Benefits of technology

It significantly improves the efficiency and accuracy of dual-scale topology optimization, ensures the connectivity between microstructures, has a short optimization time, small performance prediction deviation, and enhances the load-bearing capacity of aerospace structures.

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Abstract

The application discloses a double-scale connectable topology optimization method based on material field series expansion, and belongs to the field of double-scale design of aerospace structures. In the aspect of double-scale structure representation, two material field functions are introduced to represent the distribution of microstructures on the macro level and the topology configuration of different microstructures, respectively. Different double-scale topology configurations can be obtained by adjusting the correlation length of different material fields, and the microstructures can continuously evolve in the optimization process. Compared with the traditional double-scale optimization method of pre-defined microstructure layout form, the optimization result is not dependent on the initial guess, and the double-scale topology optimization design with connectivity can be obtained. The application does not have any limitation on the objective function and the constraint function, can process complex double-scale structure design problems, and the optimization efficiency is significantly improved due to the dimension reduction of the design variable of the material field series expansion. The application is expected to become a double-scale structure design method with strong innovation and applicability in the field of aerospace, and can be applied to complex problems such as buckling and energy absorption.
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