Complex uncertainty-oriented robust topology optimization for multiple mechanical metamaterials based on double-layer mesh

With the continuous improvement of structural performance requirements of advanced equipment, the multiscale design of materials and structures is increasingly developing towards refinement and multifunction. Metamaterials have broad application prospects due to their superior mechanical properties. In this paper, a robust topology optimization design strategy for mechanical metamaterials with multiple properties including modulus and Poisson's ratio is proposed. This method considers the manufacturing size uncertainty on properties of meta materials and adopts a double-layer mesh technology to improve the efficiency of topology optimization. In addition, a topology optimization model for metamaterials with different mechanical properties is established, and mechanical metamaterials with various properties and configurations have been designed and validated. These can provide technical support and design references for the engineering application of mechanical metamaterials.

Automated summary

This paper proposes a robust topology optimization design strategy for mechanical metamaterials. By considering multiple properties and size uncertainty, utilizing a double-layer mesh technology to improve the efficiency of optimization, and designing and validating mechanical metamaterials with different properties and configurations, this research provides technical support and design references for the engineering application of mechanical metamaterials.