(596c) Mechanical Characterization of Human Blood Via SPP Framework and Tevp Modeling | AIChE

(596c) Mechanical Characterization of Human Blood Via SPP Framework and Tevp Modeling

Authors 

Zlotnick, A., United States Military Academy
Amaru, A., United States Military Academy at West Point
Horner, J. S., University of Delaware
O'Donovan, K., United States Military Academy at West Point

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 ARESG2 using human and animal blood we show ‘best-fit’ modeling efforts with the contemporary enhanced thixo-elasto-visco-plastic (TEVP) model. Best fit rheological model parameters are then used to determine values for normal, healthy blood, determine the 95% confidence interval and corroborate correlations with physiological parameters (HDL, LDL, hematocrit, etc.) 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 under large amplitude and uni-directional oscillatory shear flow.

14 full sets of steady state and LAOS human blood are then used to build an aggregated mechanical contour plot of ‘solid-like’ and ‘liquid-like’ properties to use as a comparison for elevated cholesterol, aspirin dosing and animal blood. The correlation matrix is used to identify statistically meaningful relationships between rheological and physiological human blood parameters [3, 7, 9]. These relationships are also shown graphically.

References

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