TY - JOUR
T1 - A bioinspired multi-layer assembly method for mechanical metamaterials with extreme properties using topology optimization
AU - Yin, Peng
AU - Li, Baotong
AU - Zhang, Yue
AU - Li, Bang
AU - Hong, Jun
AU - Li, Xiaohu
AU - Chen, Xiaoming
AU - Shao, Jinyou
N1 - Publisher Copyright:
© 2025
PY - 2025/4/1
Y1 - 2025/4/1
N2 - Inspired by the hierarchical distribution pattern of natural bamboo, this study presents a multi-layer assembly strategy for the design of mechanical metamaterials with extreme properties. Firstly, the material spatial layout is constructed by employing a bio-inspired arrangement with two types of cells distributed in a staggered manner. Based on this arrangement, a new theoretical model for evaluating material properties is then developed, which in turn determines the requirements of extreme material properties on cell properties. Finally, to obtain materials with extreme mechanical properties, a topology optimization method is adopted for the generation of cell geometries with the needed properties. The numerical experiment results indicate that compared to the homogeneous material consisting of basic cells, the Young's modulus of assembled metamaterials with similar density is enhanced by more than three orders of magnitude and up to 6273 times. Further, a series of materials with extreme Young's modulus approaching the theoretical limit are identified by geometric parameter optimization for specific topologies. Such metamaterials based on assembly strategies are capable of taking full advantage of geometric variations to enhance mechanical properties, thus having a wide range of applications in various fields such as energy absorption, impact protection, and strain sensing.
AB - Inspired by the hierarchical distribution pattern of natural bamboo, this study presents a multi-layer assembly strategy for the design of mechanical metamaterials with extreme properties. Firstly, the material spatial layout is constructed by employing a bio-inspired arrangement with two types of cells distributed in a staggered manner. Based on this arrangement, a new theoretical model for evaluating material properties is then developed, which in turn determines the requirements of extreme material properties on cell properties. Finally, to obtain materials with extreme mechanical properties, a topology optimization method is adopted for the generation of cell geometries with the needed properties. The numerical experiment results indicate that compared to the homogeneous material consisting of basic cells, the Young's modulus of assembled metamaterials with similar density is enhanced by more than three orders of magnitude and up to 6273 times. Further, a series of materials with extreme Young's modulus approaching the theoretical limit are identified by geometric parameter optimization for specific topologies. Such metamaterials based on assembly strategies are capable of taking full advantage of geometric variations to enhance mechanical properties, thus having a wide range of applications in various fields such as energy absorption, impact protection, and strain sensing.
KW - Bio-inspired layout
KW - Mechanical metamaterials
KW - Theoretical limit
KW - Theoretical modeling
KW - Topology optimization
UR - https://www.scopus.com/pages/publications/85217884093
U2 - 10.1016/j.cma.2025.117850
DO - 10.1016/j.cma.2025.117850
M3 - 文章
AN - SCOPUS:85217884093
SN - 0045-7825
VL - 438
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
M1 - 117850
ER -