Non-FSI 3D Hemodynamic Simulations in Time-Dependent Domains

Y. V. Vassilevski (), O. N. Bogdanov, X. V. Chesnokova, A. A. Danilov, T. K. Dobroserdova, D. D. Dobrovolsky and A. V. Lozovskiy
Additional contact information
Y. V. Vassilevski: Marchuk Institute of Numerical Mathematics RAS
O. N. Bogdanov: Sechenov University
X. V. Chesnokova: Sechenov University
A. A. Danilov: Marchuk Institute of Numerical Mathematics RAS
T. K. Dobroserdova: Marchuk Institute of Numerical Mathematics RAS
D. D. Dobrovolsky: Sechenov University
A. V. Lozovskiy: Marchuk Institute of Numerical Mathematics RAS

A chapter in Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells, 2021, pp 261-269 from Springer

Abstract: Abstract Blood flows interact inevitably with surrounding elastic tissues. The most general approach to hemodynamic simulations is the solution of fluid–structure interaction (FSI) problems. The numerical solution of 3D FSI problems is computationally expensive and time-consuming, and requires usage of parallel computers. In addition, FSI simulations are hard to personalize since elastic properties of vessels cannot be retrieved in vivo with appropriate accuracy. We address two medical applications which allow us to simulate 3D blood flows with less computational cost than the numerical solution of the 3D FSI problems. The first application is simulation of 3D blood flow in the left ventricle of a patient based on dynamic ceCT medical images. The second application is simulation of 3D blood flow in the aortic bifurcation. We consider mathematical formulations of the models and present numerical results.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-73241-7_16

Ordering information: This item can be ordered from
http://www.springer.com/9783030732417

DOI: 10.1007/978-3-030-73241-7_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().