Prediction and Reinforcement of Fracture‐Prone Regions in Disordered Mechanical Metamaterials

Disordered metamaterials have gained prominence in engineering applications owing to their exceptional strength‐to‐weight ratios and tunable mechanical behaviors. However, the inherent structural heterogeneity of these metamaterials often induces stress localization, creating fracture‐prone regions that compromise structural reliability. To address this challenge, a self‐organized generation algorithm is proposed beyond conventional unit‐cell‐based architectures, enabling the customization of disordered mechanical metamaterials. Fracture‐prone regions are evaluated by geodesic edge betweenness centrality (GEBC) metrics, and are optimized by node connectivity adjustment and preferential short‐bond redistribution. Remarkably, increasing short‐bond frequency resulted in simultaneous enhancement of fracture toughness and ultimate strength while maintaining constant mass density. This study provides new insights into the design of amorphous architected materials, establishing a computational framework for designing disorder metamaterials with damage‐tolerant characteristics.