Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods

Francesco Ballarin, Marco Tezzele, Gianluigi Rozza

Research output: Chapter in Book/Report/Conference proceedingChapter

17 Citations (Scopus)

Abstract

In this chapter we introduce a combined parameter and model reduction methodology and present its application to the efficient numerical estimation of a pressure drop in a set of deformed carotids. The aim is to simulate a wide range of possible occlusions after the bifurcation of the carotid. A parametric description of the admissible deformations, based on radial basis functions interpolation, is introduced. Since the parameter space may be very large, the first step in the combined reduction technique is to look for active subspaces in order to reduce the parameter space dimension. Then, we rely on model order reduction methods over the lower dimensional parameter subspace, based on a POD-Galerkin approach, to further reduce the required computational effort and enhance computational efficiency.
Original languageEnglish
Title of host publicationMathematical and Numerical Modeling of the Cardiovascular System and Applications
Pages185-207
Number of pages23
Volume16
DOIs
Publication statusPublished - 2018

Publication series

NameSEMA SIMAI SPRINGER SERIES

Keywords

  • active subspaces
  • hemodynamics
  • parameter space reduction
  • reduced order modelling

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