This work aims at identifying and quantifying uncertainties from various sources in human cardiovascular system based on stochastic simulation of a one-dimensional arterial network. A general analysis of different uncertainties and probability characterization with log-normal distribution of these uncertainties is introduced. Deriving from a deterministic one-dimensional fluid-structure interaction model, we establish the stochastic model as a coupled hyperbolic system incorporated with parametric uncertainties to describe the blood flow and pressure wave propagation in the arterial network. By applying a stochastic collocation method with sparse grid technique, we study systemically the statistics and sensitivity of the solution with respect to many different uncertainties in a relatively complete arterial network with potential physiological and pathological implications for the first time. © 2013 John Wiley & Sons, Ltd.
|Titolo:||Simulation-based uncertainty quantification of human arterial network hemodynamics|
|Autori:||Chen, P; Quarteroni, A; Rozza, G|
|Data di pubblicazione:||2013|
|Digital Object Identifier (DOI):||10.1002/cnm.2554|
|Appare nelle tipologie:||1.1 Journal article|