An automated multiscale ensemble simulation approach for vascular blood flow

Mohamed A. Itani, Ulf D. Schiller, Sebastian Schmieschek, James Hetherington, Miguel O. Bernabeu, Hoskote Chandrashekar, Fergus Robertson, Peter V. Coveney, Derek Groen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Cerebrovascular diseases such as brain aneurysms area primary cause of adult disability. The flow dynamics in brain arteries, both during periods of rest and increased activity, are known to be a major factor in the risk of aneurysm formation and rupture. The precise relation is however still an open field of investigation. We present an automated ensemble simulation method for modelling cerebrovascular blood flow under a range of flow regimes. By automatically constructing and performing an ensemble of multiscale simulations, where we unidirectionally couple a 1D solver with a 3D lattice-Boltzmann code, we are able to model the blood flow in a patient artery over a range of flow regimes. We apply the method to a model of a middle cerebral artery, and find that this approach helps us to fine-tune our modelling techniques, and opens up new ways to investigate cerebrovascular flow properties.

Original languageEnglish
Pages (from-to)150-155
Number of pages6
JournalJournal of Computational Science
Volume9
Early online date17 Apr 2015
DOIs
Publication statusPublished - Jul 2015

Keywords / Materials (for Non-textual outputs)

  • Multiscale modelling
  • Blood flow
  • Ensemble simulation
  • Parallel programming
  • High-performance computing

Fingerprint

Dive into the research topics of 'An automated multiscale ensemble simulation approach for vascular blood flow'. Together they form a unique fingerprint.

Cite this