Journal
PEERJ
Volume 5, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj.4005
Keywords
Peripheral nerves; Finite Element Models; Yeoh-like strain energy function; Computational models
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Funding
- University of Pisa
- project ENABLE-Effortless Natural Bidirectional Prosthesis for Complete Functional Restoration for Amputees
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Peripheral nerves are extremely complex biological structures. The knowledge of their response to stretch is crucial to better understand physiological and pathological states (e.g., due to overstretch). Since their mechanical response is deterministically related to the nature of the external stimuli, theoretical and computational tools were used to investigate their behaviour. In this work, a Yeoh-like polynomial strain energy function was used to reproduce the response of in vitro porcine nerve. Moreover, this approach was applied to different nervous structures coming from different animal species (rabbit, lobster, Aplysia) and tested for different amount of stretch (up to extreme ones). Starting from this theoretical background, in silico models of both porcine nerves and cerebro-abdominal connective of Aplysia were built to reproduce experimental data(R-2>0.9). Finally, bi-dimensional in silico models were provided to reduce computational time of more than 90% with respect to the performances of fully three-dimensional models
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