Literature DB >> 16055133

High strain rate compressive properties of bovine muscle tissue determined using a split Hopkinson bar apparatus.

Caleb Van Sligtenhorst1, Duane S Cronin, G Wayne Brodland.   

Abstract

The polymeric split Hopkinson pressure bar (PSHPB) apparatus is introduced as a means for measuring the high strain rate (1,000-2,500 s(-1)) compressive properties of soft tissues. Issues related to specimen design are discussed, and protocols are presented for specimen preparation. Proposed specimen geometries were validated using high-speed photography. Stress-strain data were obtained for high strain rate compression of bovine muscle tissue to strains as high as 80%. The stress-strain curves were found to be strain rate-sensitive and concave upward, as is typical of soft tissues. Rigor had a significant impact on the material properties between 5 and 24 h post mortem, while at longer times, properties returned essentially to their pre-rigor values. This study presents some of the first published high rate properties of muscle tissue, data that are urgently for advanced modeling of the human body and for evaluation of safety systems for the human body.

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Year:  2005        PMID: 16055133     DOI: 10.1016/j.jbiomech.2005.05.015

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

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Authors:  Rajkumar Prabhu; Wilburn R Whittington; Sourav S Patnaik; Yuxiong Mao; Mark T Begonia; Lakiesha N Williams; Jun Liao; M F Horstemeyer
Journal:  J Vis Exp       Date:  2015-05-18       Impact factor: 1.355

2.  Interconnectable Dynamic Compression Bioreactors for Combinatorial Screening of Cell Mechanobiology in Three Dimensions.

Authors:  Jungmok Seo; Jung-Youn Shin; Jeroen Leijten; Oju Jeon; Ayça Bal Öztürk; Jeroen Rouwkema; Yuancheng Li; Su Ryon Shin; Hadi Hajiali; Eben Alsberg; Ali Khademhosseini
Journal:  ACS Appl Mater Interfaces       Date:  2018-04-13       Impact factor: 9.229

3.  Design and Comparative Performance of a Robust Lung Auscultation System for Noisy Clinical Settings.

Authors:  Ian McLane; Dimitra Emmanouilidou; James E West; Mounya Elhilali
Journal:  IEEE J Biomed Health Inform       Date:  2021-07-27       Impact factor: 7.021

  3 in total

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