一种基于博弈论的多材料鲁棒拓扑优化方法和系统
By using game theory to determine the most unfavorable load and transforming it into a dual-material optimization problem, the complexity and computational burden of multi-material robust optimization methods are solved, achieving simplified procedures and improved robustness in multi-material optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2024-02-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing multi-material robust optimization methods are conceptually complex and difficult to implement, and involve too many optimization variables, resulting in huge computational costs.
A game theory-based robust topology optimization method for multiple materials is adopted. The most unfavorable load is determined through dynamic game theory with complete information, and the multi-material optimization problem is transformed into a series of dual-material optimization problems involving solid materials and empty materials, which simplifies the optimization process and reduces the number of optimization variables.
The robust optimization process has been simplified, resulting in diverse and more robust structural forms, providing engineers with a variety of structural options and solving the problem of high computational cost in existing technologies.
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Figure CN118398126B_ABST