4.8 Article

Modeling and simulation of complex dynamic musculoskeletal architectures

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NATURE COMMUNICATIONS
卷 10, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-019-12759-5

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资金

  1. NSF EFRI C3 SoRo [1830881]
  2. NSF/USDA [2019-67021-28989]
  3. NSF CAREER [1846752]
  4. Strategic Research Initiatives (SRI) program of the University of Illinois at Urbana-Champaign
  5. ONR MURI [N00014-19-1-2373]
  6. University of Illinois at Urbana-Champaign [OCI-0725070, ACI-1238993]
  7. National Center for Supercomputing Applications [OCI-0725070, ACI-1238993]
  8. Directorate For Engineering
  9. Div Of Chem, Bioeng, Env, & Transp Sys [1846752] Funding Source: National Science Foundation

向作者/读者索取更多资源

Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their potential use in engineering applications, we present here a versatile numerical approach to the simulation of musculoskeletal architectures. It relies on the assembly of heterogenous, active and passive Cosserat rods into dynamic structures that model bones, tendons, ligaments, fibers and muscle connectivity. We demonstrate its utility in a range of problems involving biological and soft robotic scenarios across scales and environments: from the engineering of millimeter-long bio-hybrid robots to the synthesis and reconstruction of complex musculoskeletal systems. The versatility of this methodology offers a framework to aid forward and inverse bioengineering designs as well as fundamental discovery in the functioning of living organisms.

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