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Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model.

Authors :
Bertaglia, Giulia
Caleffi, Valerio
Pareschi, Lorenzo
Valiani, Alessandro
Source :
Journal of Computational Physics. Apr2021, Vol. 430, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• Effects of uncertainties of elastic and viscoelastic parameters of FSI in arteries. • Innovative asymptotic preserving IMEX finite volume stochastic collocation method. • Less sensitivity of flow rate and velocity relative to pressure and area. • Great uncertainty of the viscosity parameter plays a major role in pressure outputs. • The systolic phase is only slightly affected by the viscosity of the wall. This work aims at identifying and quantifying uncertainties related to elastic and viscoelastic parameters, which characterize the arterial wall behavior, in one-dimensional modeling of the human arterial hemodynamics. The chosen uncertain parameters are modeled as random Gaussian-distributed variables, making stochastic the system of governing equations. The proposed methodology is initially validated on a model equation, presenting a thorough convergence study which confirms the spectral accuracy of the stochastic collocation method and the second-order accuracy of the IMEX finite volume scheme chosen to solve the mathematical model. Then, univariate and multivariate uncertain quantification analyses are applied to the a-FSI blood flow model, concerning baseline and patient-specific single-artery test cases. A different sensitivity is depicted when comparing the variability of flow rate and velocity waveforms to the variability of pressure and area, the latter ones resulting much more sensitive to the parametric uncertainties underlying the mechanical characterization of vessel walls. Simulations performed considering both the simple elastic and the more realistic viscoelastic constitutive law show that the great uncertainty of the viscosity parameter plays a major role in the prediction of pressure waveforms, enlarging the confidence interval of this variable. In-vivo recorded patient-specific pressure data falls within the confidence interval of the output obtained with the proposed methodology and expectations of the computed pressures are comparable to the recorded waveforms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219991
Volume :
430
Database :
Academic Search Index
Journal :
Journal of Computational Physics
Publication Type :
Academic Journal
Accession number :
148806408
Full Text :
https://doi.org/10.1016/j.jcp.2020.110102