TY - JOUR
T1 - Image-Based Polygonal Lattices for Mechanical Modeling of Biological Materials
T2 - 2D Demonstrations
AU - Liu, Di
AU - Chen, Chao
AU - Zhang, Teng
N1 - Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2023/7/10
Y1 - 2023/7/10
N2 - 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.
AB - 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.
KW - biomaterials
KW - biomimetic composites
KW - image-based simulation
KW - polygonal lattice model
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U2 - 10.1021/acsbiomaterials.0c01772
DO - 10.1021/acsbiomaterials.0c01772
M3 - Article
C2 - 34060803
AN - SCOPUS:85108423293
SN - 2373-9878
VL - 9
SP - 3953
EP - 3961
JO - ACS Biomaterials Science and Engineering
JF - ACS Biomaterials Science and Engineering
IS - 7
ER -