Topology optimization with void exclusion constraint based on a novel virtual physical field method
Clicks: 12
ID: 321699
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
3.3
/100
12 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #9 of 30 articles by views in journal of computational design and engineering
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Excluding enclosed voids during design remains a critical challenge in additive manufacturing, impacting performance and manufacturability. This study presents a topology optimization method featuring a novel explicit void exclusion constraint. Unlike classical methods requiring additional physical fields, our innovative virtual displacement method addresses common mechanical problems through just one type of physical field, leveraging virtual compliance with polarized distribution for void or solid detection. The void exclusion constraint incorporates a penalized auxiliary volume term, which simplifies parameter tuning, eases computation, and facilitates integration. Reducing degrees of freedom, avoiding global stiffness matrix assembly, and simplifying sensitivity analysis sharply improve the efficiency of finite element analysis for the virtual displacement field. Besides, this approach combines density-based topology evolution for stable iteration and level-set-based result smoothing. The systematic method can eliminate predefined internal or boundary-adjacent voids, regulate local topology, simplify structures, and transform slender or thin-walled designs into thicker ones with minimal performance deterioration. It is implementable, cost-effective, performance-enhanced, efficient, and versatile. It has been validated via 2D/3D examples, 3D-printed prototypes, and comparisons with existing methodologies.
| Reference Key |
openalex_W7169755045
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Bo Yang, Ying Zhou, Zhengtao Shu, L L Gao, Hao Li |
| Journal | journal of computational design and engineering |
| Year | 2026 |
| DOI |
10.1093/jcde/qwag064
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.