화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korea-Australia Rheology Journal, Vol.33, No.1, 45-63, February, 2021
DOI10.1007/s13367-021-0005-1  Export Citation
Structure-rheology elucidation of human blood via SPP framework and TEVP modeling
Matthew Armstrong1, †, Jeff Baker2, Jesse Trump1, 3, Erin Milner1, J. Kenneth Wickiser1, Kenneth Cameron2, Nick Clark4, Kaitlyn Schwarting1, Thomas Brown1, Dorian Bailey1, Corey James1, Chi Nguyen1, and Trevor Corrigan1
  • 1Department of Chemistry and Life Science, United States Military Academy, West Point 10996, USA
  • 2Keller Army Community Hospital, West Point 10996, USA
  • 3John A. Feagin Jr. Sports Medicine Fellowship, Keller Army Community Hospital, West Point 10996, USA
  • 43Department of Mathematical Sciences, United States Military Academy, West Point 10996, USA
E-mail:
Recent work modeling the rheological behavior of human blood indicates that it has all the hallmark features of a complex material, including shear-thinning, viscoelastic behavior, a yield stress, and thixotropy. After decades of modeling steady state blood data, and the development of simple steady state models, like the Casson and Herschel-Bulkley the advancement and evolution of blood modeling to incorporate more thixo-elasto-visco-plastic (TEVP) features to accurately capture transient flow has renewed interest. With recently collected steady state and oscillatory shear flow rheological data from a DHR-3 using human blood, we show modeling efforts with a contemporary thixo-elasto-visco-plastic (TEVP) model. Best fit rheological model parameters are used to determine values for normal, healthy blood and corroborate correlations from literature. Series of physical processes (SPP) analysis is incorporated to illustrate how mechanical properties are tied to the transient, evolving microstructure of human blood and physiological parameters. Using LAOS data predictions of the structure parameter, λ is compared, and correlated with the transient elastic modulus, G t' .
Keywords:steady state and transient rheological data;rheological modeling;blood physiology;LAOS
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