.png){kind=icon}
.png){kind=icon}
Return
A continuous topology optimization framework using an explicit binarization constraint
.png){kind=icon}
OA
AI
DOI：10.1016/j.cma.2025.118724.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• An explicit binarization constraint directly controls the global greyness of the design. • Binarization mechanism is decoupled from the material model. • A linear material model simplifies sensitivity analysis and provides a clear physical meaning across various problems. • Achieves superior performance with crisp binary designs in a series of benchmark examples. • Guiding principles for formulating alternative explicit binarization constraints are established.
Keywords:
Topology optimization
Explicit binarization
Linear material model
Compliant mechanism
Stress minimization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.3
Papers:
1.3W
Citations:
5.6W