Image-Based Polygonal Lattices for Mechanical Modeling of Biological Materials: 2D Demonstrations

Di Liu, Chao Chen, Teng Zhang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Understanding the structure-property relationship of biological materials, such as bones, teeth, cells, and biofilms, is critical for diagnosing diseases and developing bioinspired materials and structures. The intrinsic multiphase heterogeneity with interfaces places great challenges for mechanical modeling. Here, we develop an image-based polygonal lattice model for simulating the mechanical deformation of biological materials with complicated shapes and interfaces. The proposed lattice model maintains the uniform meshes inside the homogeneous phases and restricts the irregular polygonal meshes near the boundaries or interfaces. This approach significantly simplifies the mesh generation from images of biological structures with complicated geometries. The conventional finite element simulations validate this polygonal lattice model. We further demonstrate that the image-based polygonal lattices generate meshes from images of composite structures with multiple inclusions and capture the nonlinear mechanical deformation. We conclude the paper by highlighting a few future research directions that will benefit from the functionalities of polygonal lattice modeling.

Original languageEnglish (US)
Pages (from-to)3953-3961
Number of pages9
JournalACS Biomaterials Science and Engineering
Issue number7
StatePublished - Jul 10 2023


  • biomaterials
  • biomimetic composites
  • image-based simulation
  • polygonal lattice model

ASJC Scopus subject areas

  • Biomaterials
  • Biomedical Engineering


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