Towards fast hemodynamic simulations in large-scale circulatory networks

被引:8
|
作者
Alvarez, L. A. Mansilla [1 ,2 ]
Blancoa, P. J. [1 ,2 ]
Bulant, C. A. [2 ,3 ]
Feijoo, R. A. [1 ,2 ]
机构
[1] LNCC MCTIC, Natl Lab Sci Comp, Av Getulio Vargas 333, BR-26561075 Petropolis, Brazil
[2] INCT MACC, Natl Inst Sci & Technol Med Assisted Sci Comp, Petropolis, Brazil
[3] Natl Sci & Tech Res Council, CONCITEC, Buenos Aires, DF, Argentina
关键词
Hemodynamics; Reduced-order; Blood flow; Patient-specific; Large-scale simulations; COMPUTATIONAL FLUID-DYNAMICS; HUMAN CAROTID BIFURCATION; WALL SHEAR-STRESS; FINITE-ELEMENT; PULSATILE FLOW; MODEL; ATHEROSCLEROSIS; LOCALIZATION; RECONSTRUCTION; MECHANICS;
D O I
10.1016/j.cma.2018.10.032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this work, an effective numerical method specifically conceived to simulate fluid flow in networks composed by tubular domains is presented. The present contribution addresses an extension of the so-called Transversally Enriched Pipe Element Method (TEPEM) recently developed by the authors in the computational hemodynamics realm to embrace the case of branching domains. The TEPEM approach relies on a slab-based partition of the network of vessels complemented with basis functions devised to render high-order polynomial enrichment for transversal flow phenomena, while keeping a low-order polynomial approximation for the fields along the axial direction. The main goal of such an approach is to provide a fast numerical tool to characterize flow-related quantities in large-scale networks of vessels, which are of relevance in the hemodynamics field, such as the wall shear stress. Through several numerical examples ranging from academic to patient-specific networks, it is demonstrated that the proposed strategy yields reasonably accurate qualitative and quantitative results and substantially reduced computational cost when compared with standard 3D finite element models. Hence, we conclude that this approach can be regarded as an appealing numerical technology placed halfway over-simplistic cheap 1D and computationally demanding accurate 3D models. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:734 / 765
页数:32
相关论文
共 50 条
  • [1] Fast large-scale reionization simulations
    Thomas, Rajat M.
    Zaroubi, Saleem
    Ciardi, Benedetta
    Pawlik, Andreas H.
    Labropoulos, Panagiotis
    Jelic, Vibor
    Bernardi, Gianni
    Brentjens, Michiel A.
    de Bruyn, A. G.
    Harker, Geraint J. A.
    Koopmans, Leon V. E.
    Mellema, Garrelt
    Pandey, V. N.
    Schaye, Joop
    Yatawatta, Sarod
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2009, 393 (01) : 32 - 48
  • [2] Towards Large-Scale Quantum Networks
    Kozlowski, Wojciech
    Wehner, Stephanie
    [J]. PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON NANOSCALE COMPUTING AND COMMUNICATION, 2019,
  • [3] Demo: VIBES: Fast Blockchain Simulations for Large-scale Peer-to-Peer Networks
    Stoykov, Lyubomir
    Zhang, Kaiwen
    Jacobsen, Hans-Arno
    [J]. MIDDLEWARE '17: MIDDLEWARE POSTERS AND DEMOS '17: PROCEEDINGS OF THE POSTERS AND DEMOS SESSION OF THE 18TH INTERNATIONAL MIDDLEWARE CONFERENCE: PROCEEDINGS OF THE POSTERS AND DEMOS SESSION OF THE 18TH INTERNATIONAL MIDDLEWARE CONFERENCE, 2017, : 19 - 20
  • [4] Fast simulations of large-scale highly congested systems
    Schruben, LW
    Roeder, TM
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2003, 79 (03): : 115 - 125
  • [5] Fast Connectivity Minimization on Large-Scale Networks
    Chen, Chen
    Peng, Ruiyue
    Ying, Lei
    Tong, Hanghang
    [J]. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021, 15 (03)
  • [6] Towards Large-Scale Deterministic IP Networks
    Liu, Bingyang
    Ren, Shoushou
    Wang, Chuang
    Angilella, Vincent
    [J]. 2021 IFIP NETWORKING CONFERENCE AND WORKSHOPS (IFIP NETWORKING), 2021,
  • [7] Hashkat: large-scale simulations of online social networks
    Ryczko K.
    Domurad A.
    Buhagiar N.
    Tamblyn I.
    [J]. Ryczko, Kevin (kevin.ryczko@uoit.net), 1600, Springer-Verlag Wien (07):
  • [8] Fast simulations of cosmic large-scale structure with massive neutrinos
    Partmann, Christian
    Fidler, Christian
    Rampf, Cornelius
    Hahn, Oliver
    [J]. JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2020, (09):
  • [9] Fast paths in large-scale dynamic road networks
    Nannicini, Giacomo
    Baptiste, Philippe
    Barbier, Gilles
    Krob, Daniel
    Liberti, Leo
    [J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2010, 45 (01) : 143 - 158
  • [10] Fast paths in large-scale dynamic road networks
    Giacomo Nannicini
    Philippe Baptiste
    Gilles Barbier
    Daniel Krob
    Leo Liberti
    [J]. Computational Optimization and Applications, 2010, 45 : 143 - 158