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

DOI10.1016/j.jcp.2020.110102OpenAlexW3038613498MaRDI QIDQ2124891

Lorenzo Pareschi, Valerio Caleffi, Alessandro Valiani, Giulia Bertaglia

Publication date: 11 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.01907

zbMATH Keywords

finite volume methodsfluid-structure interactionuncertainty quantificationblood flow modelsstochastic collocation methodsIMEX Runge-Kutta schemes

Mathematics Subject Classification ID

Stochastic analysis (60Hxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Probabilistic methods, stochastic differential equations (65Cxx)

Related Items (6)

Kinetic Modelling of Epidemic Dynamics: Social Contacts, Control with Uncertain Data, and Multiscale Spatial Dynamics ⋮ Modeling blood flow in networks of viscoelastic vessels with the 1-D augmented fluid-structure interaction system ⋮ Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods ⋮ Bayesian calibration for large‐scale fluid structure interaction problems under embedded/immersed boundary framework ⋮ Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties ⋮ Hyperbolic compartmental models for epidemic spread on networks with uncertain data: Application to the emergence of COVID-19 in Italy

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