Published October 1, 2025 | Version Published
Journal Article

Controllable interlocking from irregularity in two-phase composites

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Eindhoven University of Technology

Abstract

Inspired by strong and tough biological materials, we present composite materials with controllable interlocking. The composites feature tessellations of stiff particles connected by a soft matrix, and we control the degree of interlocking through irregularity in particle size, geometry, and arrangement. We generate the composites through stochastic network growth using an average network coordination number. The generated network forms the soft matrix phase of the composites, while the areas enclosed by the network form the stiff reinforcing particles. At low coordination, composites feature highly polydisperse particles with irregular geometries arranged non-periodically. In response to loading, these particles interlock and primarily rotate and deform to accommodate non-uniform kinematic constraints from adjacent particles. In contrast, higher-coordination composites feature more monodisperse particles with uniform geometries, which collectively slide. We quantify how to control the degree of interlocking as a function of coordination number alone, demonstrating how irregularity facilitates bioinspired deformation mechanism control.

Copyright and License

© 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Acknowledgement

The authors acknowledge MURI ARO W911NF-22-2-0109 for financial support. The authors acknowledge P. Arakelian for experimental assistance.

Data Availability

All data reported in this paper will be shared by the lead contact upon request.
The hexa-VGA code used to generate the samples may be found at the following link: https://github.com/basbaskoko/hexaVGA

Supplemental Material

Video S3. Video of 6X coordination sample under cylindrical contact loading.

Additional details

Related works

Is new version of
Discussion Paper: arXiv:2502.18392 (arXiv)
Is supplemented by
Software: https://github.com/basbaskoko/hexaVGA (URL)

Funding

United States Army Research Office
W911NF-22-2-0109

Caltech Custom Metadata

Caltech groups
Division of Engineering and Applied Science (EAS)
Publication Status
Published