Data-driven design of topologically optimized auxetic metamaterials for tailored stress–strain and Poisson’s ratio-strain behaviors
Conventional topology optimization methods often struggle to achieve simultaneous customization of stress–strain and Poisson’s ratio–strain curves in auxetic metamaterials, due to the complexity of nonlinear analysis, multi-objective coupling, and high computational costs. To overcome these limitati...
Saved in:
| Main Authors: | Yueyou Tang, Anfu Zhang, Qi Zhou, Mu He, Liang Xia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127525007105 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
HACS4x: Four-Ply Helical Auxetic Capacitive Sensors for Strain Sensing E-Textiles
by: Brett C. Hannigan, et al.
Published: (2024-01-01) -
Electromechanical Behavior of Helical Auxetic Yarn Strain Sensor
by: Asal Lolaki, et al.
Published: (2024-01-01) -
Elastically isotropic auxetic and zero-Poisson’s ratio TPMS-based metamaterials
by: Stephen Daynes
Published: (2025-12-01) -
Effect of geometry on homogenised properties of selected auxetic metamaterials
by: Nataša Jošková, et al.
Published: (2024-11-01) -
Customizable metamaterial design for desired strain-dependent Poisson’s ratio using constrained generative inverse design network
by: Sukheon Kang, et al.
Published: (2024-11-01)