Recent work modeling the rheological behavior of human blood indicates that blood has all the hallmark features of a complex material, including shear-thinning, viscoelastic behavior, yield stress, and thixotropy. There is renewed interest in the modeling of human blood with thixo-elasto-visco-plastic rheological models. Previous work [Armstrong and Tussing, Phys. Fluids 32, 094111 (2020)] has led to the development of the enhanced thixotropic viscoelastic model for blood (ethixo-mHAWB; called here, after a minor modification, ETV) that incorporates viscoelasticity to a thixotropic model for the stress contributed by the rouleaux aggregates, in addition to describing using a nonlinear viscoelastic model the stress contributed by the individual red blood cells deforming under the action of the flow. This model has shown superior performance in fitting human blood steady state and transient rheological data from a strain-controlled rheometer [Horner et al., J. Rheol. 62, 577–591 (2018); 63, 799–813 (2019)] as compared to other alternate models. In the present work, we first develop another variant of the ETV model, the enhanced structural stress thixotropic-viscoelastic (ESSTV) model, and the modification patterned following an elastoviscoplastic model developed recently [Varchanis et al., J. Rheol. 63, 609–639 (2019)]. We develop full tensorial stress formulations of the rouleaux stresses for both the above-mentioned models, resulting in the t-ETV and t-ESSTV models. We use steady state and step-ups, and step-downs in shear rate data to independently fit the parameters of all before-mentioned models. We compare predictions against experimental data obtained on small, large, and unidirectional large amplitude oscillatory shear conditions. We find that the full tensor stress formulations t-ETV and t-ESSTV significantly improved the predictive capability of the earlier ETV model.
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March 2022
Research Article|
March 01 2022
Tensorial formulations for improved thixotropic viscoelastic modeling of human blood
Matthew Armstrong
;
1
Department of Chemistry and Life Science, Chemical Engineering Program, United States Military Academy
, West Point, New York 10996a)Author to whom correspondence should be addressed; electronic mail: [email protected]
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Andre Pincot
;
Andre Pincot
b)
1
Department of Chemistry and Life Science, Chemical Engineering Program, United States Military Academy
, West Point, New York 10996
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Soham Jariwala
;
Soham Jariwala
b)
2
Department of Chemical and Biomolecular Engineering, Center for Research in Soft Matter and Polymers, University of Delaware
, Newark, Delaware 19716
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Jeff Horner
;
Jeff Horner
b)
2
Department of Chemical and Biomolecular Engineering, Center for Research in Soft Matter and Polymers, University of Delaware
, Newark, Delaware 197163
Thermal/Fluid Component Sciences Department, Sandia National Laboratories
, Albuquerque, New Mexico 87123
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Norman Wagner
;
Norman Wagner
b)
2
Department of Chemical and Biomolecular Engineering, Center for Research in Soft Matter and Polymers, University of Delaware
, Newark, Delaware 19716
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Antony Beris
Antony Beris
b)
2
Department of Chemical and Biomolecular Engineering, Center for Research in Soft Matter and Polymers, University of Delaware
, Newark, Delaware 19716
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Matthew Armstrong
1,a),b)
Andre Pincot
1,b)
Soham Jariwala
2,b)
Jeff Horner
2,3,b)
Norman Wagner
2,b)
Antony Beris
2,b)
1
Department of Chemistry and Life Science, Chemical Engineering Program, United States Military Academy
, West Point, New York 10996
2
Department of Chemical and Biomolecular Engineering, Center for Research in Soft Matter and Polymers, University of Delaware
, Newark, Delaware 19716
3
Thermal/Fluid Component Sciences Department, Sandia National Laboratories
, Albuquerque, New Mexico 87123
a)Author to whom correspondence should be addressed; electronic mail: [email protected]
b)
All authors contributed to this work.
J. Rheol. 66, 327–347 (2022)
Article history
Received:
August 01 2021
Accepted:
January 11 2022
Connected Content
A correction has been published:
Erratum: “Tensorial formulations for improved thixotropic
viscoelastic modeling of human blood” [J. Rheol. 66, 327 (2022)]
Citation
Matthew Armstrong, Andre Pincot, Soham Jariwala, Jeff Horner, Norman Wagner, Antony Beris; Tensorial formulations for improved thixotropic viscoelastic modeling of human blood. J. Rheol. 1 March 2022; 66 (2): 327–347. https://doi.org/10.1122/8.0000346
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