Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Computational Mechanics
Erschienen in: Computational Mechanics 4/2014

01.10.2014 | Original Paper

A reduced-order model based on the coupled 1D-3D finite element simulations for an efficient analysis of hemodynamics problems

verfasst von: Eduardo Soudah, Riccardo Rossi, Sergio Idelsohn, Eugenio Oñate

Erschienen in: Computational Mechanics | Ausgabe 4/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A reduced-order model for an efficient analysis of cardiovascular hemodynamics problems using multiscale approach is presented in this work. Starting from a patient-specific computational mesh obtained by medical imaging techniques, an analysis methodology based on a two-step automatic procedure is proposed. First a coupled 1D-3D Finite Element Simulation is performed and the results are used to adjust a reduced-order model of the 3D patient-specific area of interest. Then, this reduced-order model is coupled with the 1D model. In this way, three-dimensional effects are accounted for in the 1D model in a cost effective manner, allowing fast computation under different scenarios. The methodology proposed is validated using a patient-specific aortic coarctation model under rest and non-rest conditions.
Vorheriger Artikel A matrix-form GSM–CFD solver for incompressible fluids and its application to hemodynamics
Nächster Artikel The role of numerical simulation for the development of an advanced HIFU system

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Alastruey J, Khir AW, Matthys KS, Segers P, Sherwin SJ, Verdonck PR, Parker KH, Peiró J (2011) Pulse wave propagation in a model human arterial network: assessment of 1-D visco-elastic simulations against in vitro measurements. J Biomech 44(12):2250–2258
2.
Bazilevs Y, Takizawa K, Tezduyar TE (2013) Computational fluid-structure interaction: methods and applications. ISBN: 978-0-470-97877-1. p 404
3.
4.
Cristiano A, Malossi I, Blanco PJ, Crosetto P, Deparis S, Quarteroni A (2013) Implicit coupling of one-dimensional and three-dimensional blood flow models with compliant vessels. Multiscale Model Simul 11(2):474–506CrossRefMATHMathSciNet
5.
Dadvand P, Rossi R, Oñate E (2010) An object-oriented environment for developing finite element codes for multi-disciplinary applications. Arch Comput Methods Eng 17:253–297CrossRefMATH
6.
Dadvand P, Rossi R, Gil M, Martorell X, Cotela J, Juanpere E, Idelsohn SR, Oñate E (2013) Migration of a generic multi-physics framework to HPC environments. Comput Fluids 80(10):301–309CrossRefMATH
7.
Formaggia L, Nobile F, Quarteroni A, Veneziani A (1999) Multiscale modelling of the circulatory system: a preliminary analysis. Comput Vis Sci 2:75–83CrossRefMATH
8.
9.
Formaggia L, Gerbeau JF, Nobile F, Quarteroni A (2001) On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels. Comput Methods Appl Mech Eng 191:561–582
10.
11.
Ismail M, Wall WA, Gee MG (2013) Adoint-based inverse analysis of windkessel parameters for patient-specific. Vasc Models J Comput Phys 244:113170MathSciNet
12.
Itu L, Sharma P, Ralovich K, Mihalef V, Ionasec R, Everett A, Ringel R, Kamen A, Comaniciu D (2013) Non-invasive hemodynamic assessment of aortic coarctation: validation with in vivo measurements. Ann Biomed Eng 41:669–681CrossRef
13.
LaDisa JJ et al (2011) Computational simulations for aortic coarctation: representative results from a sampling of patients. J Biomech Eng 133(9):091008–091017
14.
LaDisa JJ, Dholakia RJ, Figueroa CA, Vignon-Clementel IE, Chan FP, Samyn MM, Cava JR, Taylor CA, Feinstein JA (2011) Computational simulations demonstrate altered wall shear stress in aortic coarctation patients treated by resection with end-to-end anastomosis. Congenit Heart Dis 6:432–443CrossRef
15.
Lantz J, Ebbers T, Engvall J, Karlsson M (2013) Numerical and experimental assessment of turbulent kinetic energy in an aortic coarctation. J Biomech 46(11):1851–1858CrossRef
16.
Lorensen WE, Cline HE (1987) Marching cubes: a high reso-lution 3d surface construction algorithm. In: Proceedings of SIGGRAPH, pp 163–169
17.
Malossi A, Blanco PJ, Crosetto P, Deparis S, Quarteroni A (2013) Implicit coupling of one-dimensional and three-dimensional blood flow models with compliant vessels multiscale modeling. Simulation 11(2):474–506MATHMathSciNet
18.
Manguoglu M, Takizawa K, Sameh AH, Tezduyar TE (2010) Solution of linear systems in arterial fluid mechanics computations with boundary layer mesh refinement. Comput Mech 46:83–89CrossRefMATH
19.
Murray CD (1926) The physiological principle of minimum work: I. The vascular system and the cost of blood volume. Proc Natl Acad Sci USA 12(3):207–214CrossRef
20.
Perdikaris P, Karniadakis GE (2014) Fractional-order viscoelasticity in one-dimensional blood flow models. Ann Biomed Eng, pp 0090–6964
21.
Quartapelle L (1993) Numerical solution of the incompressible Navier-Stokes equations. Birkhauser Verlag, BaselCrossRefMATH
22.
Raghu R, Vignon-Clementel IE, Figueroa CA, Taylor CA (2011) Comparative study of viscoelastic arterial wall models in nonlinear one-dimensional finite element simulations of blood flow. J Biomech Eng 133:081003–081011CrossRef
23.
Ralovich K et al (2012) Hemodynamic assessment of pre-and post-operative aortic coarctation from MRI. In: Ayache N, Delingette H, Golland P, Mori K (eds) MICCAI 2012, Part II, vol 7511., LNCSSpringer, Heidelberg, pp 486–493
24.
Reymond P (2011) Pressure and flow wave propagation in patient-specific models of the arterial tree. PhD Thesis, École Polytechnique Fédérale de Lausanne
25.
Reymond P, Merenda F, Perren F, Rafenacht D, Stergiopulos N (2009) Validation of a one-dimensional model of the systemic arterial tree. Am J Physiol Heart Circ Physiol 297(1):H208– H222
26.
Sherman TF (1981) On connecting large vessels to small. The meaning of Murray’s law. J Gen Physiol 78(4):431–453
27.
Sherwin SJ, Franke V, Peiró J, Parker KH (2003) One-dimensional modelling of a vascular network in space-time variables. J Eng Math 47:217–250CrossRefMATH
28.
Steele BN, Valdez-Jasso D, Haider MA, Olufsen MS (2011) Predicting arterial flow and pressure dynamics using a 1D fluid dynamics model with a viscoelastic wall SIAM. J Appl Math 71(4):1123–1143MATHMathSciNet
29.
Takizawa K, Christopher J, Tezduyar TE, Sathe S (2010) Space-time finite element computation of arterial fluid-structure interactions with patient-specific data. Int J Numer Methods Biomed Eng 26:101–116CrossRefMATH
30.
Takizawa K, Moorman C, Wright S, Purdue J, McPhail T, Chen PR, Warren J, Tezduyar TE (2011) Patient-specific arterial fluid-structure interaction modeling of cerebral aneurysms. Int J Numer Methods Fluids 65:308–323CrossRefMATH
31.
Takizawa K, Moorman C, Wright S, Christopher J, Tezduyar TE (2011) Wall shear stress calculations in space-time finite element computation of arterial fluid-structure interactions. Comput Mech 46:31–41CrossRefMathSciNet
32.
Tezduyar TE, Takizawa K, Brummer T, Chen PR (2011) Space-time fluid-structure interaction modeling of patient-specific cerebral aneurysms. Int J Numer Methods Biomed Eng 27:665– 1710
33.
Torii R, Oshima M, Kobayashi T, Takagi K (2009) Fluid structure interaction modeling of blood flow and cerebral aneurysm. Comput Methods Appl Mech Eng 198:3613–3621CrossRefMATHMathSciNet
34.
Vignon-Clementel IE, Figueroa AC, Jansen KE, Taylor CA (2006) Outflow boundary conditions for three-dimensional finite element modeling of blood flow and pressure in arteries. Comput Methods Appl Mech Eng 195(29–32):3776–3796
35.
Wang J, Parker KH (2004) Wave propagation in a model of the arterial circulation. J Biomech 37:457–470CrossRef
36.
Xiao N, Humphrey JD, Figueroa CA (2013) Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network. J Comput Phys 244:22–40CrossRefMathSciNet
Metadaten
Titel
A reduced-order model based on the coupled 1D-3D finite element simulations for an efficient analysis of hemodynamics problems
verfasst von
Eduardo Soudah
Riccardo Rossi
Sergio Idelsohn
Eugenio Oñate
Publikationsdatum
01.10.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 4/2014
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-014-1040-2

Weitere Artikel der Ausgabe 4/2014

Computational Mechanics 4/2014 Zur Ausgabe

Original Paper

Estimation of element-based zero-stress state for arterial FSI computations

Original Paper

A matrix-form GSM–CFD solver for incompressible fluids and its application to hemodynamics

Original Paper

Coronary arterial dynamics computation with medical-image-based time-dependent anatomical models and element-based zero-stress state estimates

Original Paper

Shape optimization of pulsatile ventricular assist devices using FSI to minimize thrombotic risk

Original Paper

The hemodynamics in intracranial aneurysm ruptured region with active contrast leakage during computed tomography angiography

Preface

Biomedical fluid mechanics and fluid–structure interaction

Neuer Inhalt

    Bildnachweise