» Articles » PMID: 20140798

Outflow Boundary Conditions for 3D Simulations of Non-periodic Blood Flow and Pressure Fields in Deformable Arteries

Overview
Publisher Informa Healthcare
Date 2010 Feb 9
PMID 20140798
Citations 92
Authors
Affiliations
Soon will be listed here.
Abstract

The simulation of blood flow and pressure in arteries requires outflow boundary conditions that incorporate models of downstream domains. We previously described a coupled multidomain method to couple analytical models of the downstream domains with 3D numerical models of the upstream vasculature. This prior work either included pure resistance boundary conditions or impedance boundary conditions based on assumed periodicity of the solution. However, flow and pressure in arteries are not necessarily periodic in time due to heart rate variability, respiration, complex transitional flow or acute physiological changes. We present herein an approach for prescribing lumped parameter outflow boundary conditions that accommodate transient phenomena. We have applied this method to compute haemodynamic quantities in different physiologically relevant cardiovascular models, including patient-specific examples, to study non-periodic flow phenomena often observed in normal subjects and in patients with acquired or congenital cardiovascular disease. The relevance of using boundary conditions that accommodate transient phenomena compared with boundary conditions that assume periodicity of the solution is discussed.

Citing Articles

Hemodynamics of asymmetrically stenotic vertebral arteries based on fluid-solid coupling.

Yilin Z, Haiquan F, Chen H, Juan S J Biol Phys. 2025; 51(1):10.

PMID: 39961896 PMC: 11833003. DOI: 10.1007/s10867-025-09673-x.


Deforming Patient-Specific Models of Vascular Anatomies to Represent Stent Implantation via Extended Position Based Dynamics.

Pham J, Kong F, James D, Feinstein J, Marsden A Cardiovasc Eng Technol. 2024; 15(6):760-774.

PMID: 39354259 PMC: 11653221. DOI: 10.1007/s13239-024-00752-z.


Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins.

Tanade C, Khan N, Rakestraw E, Ladd W, Draeger E, Randles A NPJ Digit Med. 2024; 7(1):236.

PMID: 39242829 PMC: 11379815. DOI: 10.1038/s41746-024-01216-3.


Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps.

Tanade C, Rakestraw E, Ladd W, Draeger E, Randles A Int Conf High Perform Comput Netw Storage Anal. 2024; 2023.

PMID: 38939612 PMC: 11210499. DOI: 10.1145/3581784.3607101.


A matched-pair case control study identifying hemodynamic predictors of cerebral aneurysm growth using computational fluid dynamics.

Weiss A, Panduro A, Schwarz E, Sexton Z, Lan I, Geisbush T Front Physiol. 2024; 14:1300754.

PMID: 38162830 PMC: 10757566. DOI: 10.3389/fphys.2023.1300754.