Damage-programmable design of metamaterials achieving crack-resisting mechanisms seen in nature.
Ontology highlight
ABSTRACT: The fracture behaviour of artificial metamaterials often leads to catastrophic failures with limited resistance to crack propagation. In contrast, natural materials such as bones and ceramics possess microstructures that give rise to spatially controllable crack path and toughened material resistance to crack advances. This study presents an approach that is inspired by nature's strengthening mechanisms to develop a systematic design method enabling damage-programmable metamaterials with engineerable microfibers in the cells that can spatially program the micro-scale crack behaviour. Machine learning is applied to provide an effective design engine that accelerate the generation of damage-programmable cells that offer advanced toughening functionality such as crack bowing, crack deflection
SUBMITTER: Gao Z
PROVIDER: S-EPMC11349770 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA