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Modulate stress distribution with bio-inspired irregular architected materials towards optimal tissue support

Author

Listed:
  • Yingqi Jia

    (University of Illinois Urbana-Champaign)

  • Ke Liu

    (Peking University)

  • Xiaojia Shelly Zhang

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    National Center for Supercomputing Applications)

Abstract

Natural materials typically exhibit irregular and non-periodic architectures, endowing them with compelling functionalities such as body protection, camouflage, and mechanical stress modulation. Among these functionalities, mechanical stress modulation is crucial for homeostasis regulation and tissue remodeling. Here, we uncover the relationship between stress modulation functionality and the irregularity of bio-inspired architected materials by a generative computational framework. This framework optimizes the spatial distribution of a limited set of basic building blocks and uses these blocks to assemble irregular materials with heterogeneous, disordered microstructures. Despite being irregular and non-periodic, the assembled materials display spatially varying properties that precisely modulate stress distribution towards target values in various control regions and load cases, echoing the robust stress modulation capability of natural materials. The performance of the generated irregular architected materials is experimentally validated with 3D printed physical samples — a good agreement with target stress distribution is observed. Owing to its capability to redirect loads while keeping a proper amount of stress to stimulate bone repair, we demonstrate the potential application of the stress-programmable architected materials as support in orthopedic femur restoration.

Suggested Citation

  • Yingqi Jia & Ke Liu & Xiaojia Shelly Zhang, 2024. "Modulate stress distribution with bio-inspired irregular architected materials towards optimal tissue support," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47831-2
    DOI: 10.1038/s41467-024-47831-2
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    References listed on IDEAS

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    1. Cameron Crook & Jens Bauer & Anna Guell Izard & Cristine Santos de Oliveira & Juliana Martins de Souza e Silva & Jonathan B. Berger & Lorenzo Valdevit, 2020. "Plate-nanolattices at the theoretical limit of stiffness and strength," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Corentin Coulais & Eial Teomy & Koen de Reus & Yair Shokef & Martin van Hecke, 2016. "Combinatorial design of textured mechanical metamaterials," Nature, Nature, vol. 535(7613), pages 529-532, July.
    3. Bo Peng & Ye Wei & Yu Qin & Jiabao Dai & Yue Li & Aobo Liu & Yun Tian & Liuliu Han & Yufeng Zheng & Peng Wen, 2023. "Machine learning-enabled constrained multi-objective design of architected materials," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Pengcheng Jiao & Jochen Mueller & Jordan R. Raney & Xiaoyu (Rayne) Zheng & Amir H. Alavi, 2023. "Mechanical metamaterials and beyond," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
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