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Structure-rheology elucidation of human blood via SPP framework and TEVP modeling

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Abstract

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 .

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Authors and Affiliations

  1. Department of Chemistry and Life Science, United States Military Academy, West Point, 10996, USA

    Matthew Armstrong, Jesse Trump, Erin Milner, J. Kenneth Wickiser, Kaitlyn Schwarting, Thomas Brown, Dorian Bailey, Corey James, Chi Nguyen & Trevor Corrigan

  2. Keller Army Community Hospital, West Point, 10996, USA

    Jeff Baker & Kenneth Cameron

  3. Department of Mathematical Sciences, United States Military Academy, West Point, 10996, USA

    Nick Clark

  4. John A. Feagin Jr. Sports Medicine Fellowship, Keller Army Community Hospital, West Point, 10996, USA

    Jesse Trump

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  1. Matthew Armstrong
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  2. Jeff Baker
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Correspondence to Matthew Armstrong.

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Armstrong, M., Baker, J., Trump, J. et al. Structure-rheology elucidation of human blood via SPP framework and TEVP modeling. Korea-Aust. Rheol. J. 33, 45–63 (2021). https://doi.org/10.1007/s13367-021-0005-1

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  • DOI: https://doi.org/10.1007/s13367-021-0005-1

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