Literature DB >> 27302372

Transversally enriched pipe element method (TEPEM): An effective numerical approach for blood flow modeling.

Luis Mansilla Alvarez1,2, Pablo Blanco1,2, Carlos Bulant1,2, Enzo Dari3, Alessandro Veneziani4, Raúl Feijóo1,2.   

Abstract

In this work, we present a novel approach tailored to approximate the Navier-Stokes equations to simulate fluid flow in three-dimensional tubular domains of arbitrary cross-sectional shape. The proposed methodology is aimed at filling the gap between (cheap) one-dimensional and (expensive) three-dimensional models, featuring descriptive capabilities comparable with the full and accurate 3D description of the problem at a low computational cost. In addition, this methodology can easily be tuned or even adapted to address local features demanding more accuracy. The numerical strategy employs finite (pipe-type) elements that take advantage of the pipe structure of the spatial domain under analysis. While low order approximation is used for the longitudinal description of the physical fields, transverse approximation is enriched using high order polynomials. Although our application of interest is computational hemodynamics and its relevance to pathological dynamics like atherosclerosis, the approach is quite general and can be applied in any internal fluid dynamics problem in pipe-like domains. Numerical examples covering academic cases as well as patient-specific coronary arterial geometries demonstrate the potentialities of the developed methodology and its performance when compared against traditional finite element methods.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  coronary blood flow; hemodynamics; high order; model order reduction; patient-specific

Mesh:

Year:  2016        PMID: 27302372     DOI: 10.1002/cnm.2808

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  4 in total

1.  Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.

Authors:  Martin R Pfaller; Jonathan Pham; Aekaansh Verma; Luca Pegolotti; Nathan M Wilson; David W Parker; Weiguang Yang; Alison L Marsden
Journal:  Int J Numer Method Biomed Eng       Date:  2022-08-14       Impact factor: 2.648

2.  Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics.

Authors:  Casey M Fleeter; Gianluca Geraci; Daniele E Schiavazzi; Andrew M Kahn; Alison L Marsden
Journal:  Comput Methods Appl Mech Eng       Date:  2020-04-21       Impact factor: 6.756

3.  Model order reduction of flow based on a modular geometrical approximation of blood vessels.

Authors:  Luca Pegolotti; Martin R Pfaller; Alison L Marsden; Simone Deparis
Journal:  Comput Methods Appl Mech Eng       Date:  2021-03-27       Impact factor: 6.756

4.  An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms.

Authors:  Cosmin-Ioan Nita; Takashi Suzuki; Lucian Mihai Itu; Viorel Mihalef; Hiroyuki Takao; Yuichi Murayama; Puneet Sharma; Thomas Redel; Saikiran Rapaka
Journal:  Comput Math Methods Med       Date:  2020-06-17       Impact factor: 2.238

  4 in total

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