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Title: An efficient parallel simulation of unsteady blood flows in patient-specific pulmonary artery

Journal Article · · International Journal for Numerical Methods in Biomedical Engineering
DOI:https://doi.org/10.1002/cnm.2952· OSTI ID:1484705
 [1];  [2];  [3]; ORCiD logo [4]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States). Modeling and Simulation
  2. Univ. of Colorado, Denver, CO (United States). School of Medicine
  3. Univ. of Texas, San Antonio, TX (United States). Dept. of Mechanical Engineering
  4. Univ. of Colorado, Boulder, CO (United States). Dept. of Computer Science

Abstract Simulation of blood flows in the pulmonary artery provides some insight into certain diseases by examining the relationship between some continuum metrics, eg, the wall shear stress acting on the vascular endothelium, which responds to flow‐induced mechanical forces by releasing vasodilators/constrictors. V. Kheyfets, in his previous work, studies numerically a patient‐specific pulmonary circulation to show that decreasing wall shear stress is correlated with increasing pulmonary vascular impedance. In this paper, we develop a scalable parallel algorithm based on domain decomposition methods to investigate an unsteady model with patient‐specific pulsatile waveforms as the inlet boundary condition. The unsteady model offers tremendously more information about the dynamic behavior of the flow field, but computationally speaking, the simulation is a lot more expensive since a problem which is similar to the steady‐state problem has to be solved many times, and therefore, the traditional sequential approach is not suitable anymore. We show computationally that simulations using the proposed parallel approach with up to 10 000 processor cores can be obtained with much reduced compute time. This makes the technology potentially usable for the routine study of the dynamic behavior of blood flows in the pulmonary artery, in particular, the changes of the blood flows and the wall shear stress in the spatial and temporal dimensions.

Research Organization:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
AC07-05ID14517; DMS-1720366
OSTI ID:
1484705
Alternate ID(s):
OSTI ID: 1419356
Report Number(s):
INL/JOU-17-42412-Rev001
Journal Information:
International Journal for Numerical Methods in Biomedical Engineering, Vol. 34, Issue 4; ISSN 2040-7939
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 16 works
Citation information provided by
Web of Science

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