Optimization method for lightweight structure of rod layout and discrete size
By using an improved dual-valued encoding parameterization method and three-dimensional moving point technology, the collaborative optimization of member size and layout is achieved through autonomous selection. This solves the problem of fixed specifications for discretized member sizes in existing truss structures, enabling a lightweight design with higher precision and better performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-07
AI Technical Summary
In existing truss structure optimization, the discretization dimensions of members mostly adopt fixed standard specifications, which lacks flexibility and makes it difficult to adapt to the personalized optimization needs under different working conditions, thus affecting material utilization and structural lightweighting.
By employing an improved dual-valued parameterization method and three-dimensional moving point technology, the discretized dimensions of the members are autonomously selected to achieve coordinated optimization of member dimensions and layout. The geometric parameters and diameters of the members are updated through finite element analysis and optimization algorithms to avoid member intersections and overlaps and accurately match the structural stress characteristics.
It improves material utilization, reduces redundant material consumption, enhances the precision and performance of lightweight truss design, provides more design options, and allows for the rapid selection of optimal member sizes and layouts.
Smart Images

Figure CN122046840B_ABST