Paper Number
PO87 

Session
Poster Session

Title
Parametric optimization of structural thixotropic elasto-visco-plastic models for human blood

Presentation Date and Time
October 12, 2022 (Wednesday) 6:30

Track / Room
Poster Session / Riverwalk A

Authors (Click on name to view author profile)

  1. Pincot, André M. (Massachusetts Institute of Technology, Department of Mechanical Engineering)
  2. Armstrong, Matthew (United States Military Academy, Department of the Army)
  3. Rogers, Simon A. (University of Illinois at Urbana-Champaign, Department of Chemical and Biomolecular Engineering)

Author and Affiliation Lines (in printed abstract book)
André M. Pincot1, Matthew Armstrong2 and Simon A. Rogers3
1Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; 2Department of the Army, United States Military Academy, New York, NY; 3Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801

Speaker / Presenter 
Pincot, André M.

Keywords
theoretical methods; computational methods

Text of Abstract
Previous rheological efforts have suggested that blood has the hallmark features of complex material, including shear-thinning, viscoelastic behavior, yield stress, and thixotropy. The aforementioned behavior can be attributed to a complex, flow-dependent rouleaux microstructure resulting from interactions between red blood cells, facilitated by fibrinogen. To account for the evolution of these structures and the deformation of individual red blood cells at higher shear rates, modern blood models must integrate thixotropic and viscoelastic expressions within their mathematical framework. The most recent advanced tensorial phenomenological models, among them the tensorial enhanced structural stress thixotropic-viscoelastic (t-ESSTV) model recently developed by Armstrong et al, have come to successfully represent blood’s thixotropic and viscoelastic phenomena with high fidelity and relatively high parametric efficiency under unidirectional shear flow. These models each necessitate the solution of several algebraic and differential expressions to represent the material behavior under both steady state and transient flow conditions. Recent investigations of the model suggest that the t-ESSTV framework could be simplified, greatly reducing the number of necessary parameters from 12 to 9 terms while presenting a similar capability to that of the original t-ESSTV model. This effort introduces both the t-ESSTV framework and its reduced variant with subsequent comparison of predictive capability.