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dc.contributor.authorCalmet, Hadrien
dc.contributor.authorGambaruto, Alberto M.
dc.contributor.authorBates, Alister J.
dc.contributor.authorVázquez, Mariano
dc.contributor.authorHouzeaux, Guillaume
dc.contributor.authorDoorly, Denis J.
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2016-03-21T15:06:00Z
dc.date.available2017-02-01T01:30:31Z
dc.date.issued2016-02-01
dc.identifier.citationCalmet, Hadrien [et al.]. Large-scale CFD simulations of the transitional and turbulent regime for the large human airways during rapid inhalation. "Computers in Biology and Medicine", 01 Febrer 2016, vol. 69, p. 166-180.
dc.identifier.issn0010-4825
dc.identifier.urihttp://hdl.handle.net/2117/84761
dc.description.abstractThe dynamics of unsteady flow in the human large airways during a rapid inhalation were investigated using highly detailed large-scale computational fluid dynamics on a subject-specific geometry. The simulations were performed to resolve all the spatial and temporal scales of the flow, thanks to the use of massive computational resources. A highly parallel finite element code was used, running on two supercomputers, solving the transient incompressible Navier–Stokes equations on unstructured meshes. Given that the finest mesh contained 350 million elements, the study sets a precedent for large-scale simulations of the respiratory system, proposing an analysis strategy for mean flow, fluctuations and wall shear stresses on a rapid and short inhalation (a so-called sniff). The geometry used encompasses the exterior face and the airways from the nasal cavity, through the trachea and up to the third lung bifurcation; it was derived from a contrast-enhanced computed tomography (CT) scan of a 48-year-old male. The transient inflow produces complex flows over a wide range of Reynolds numbers (Re). Thanks to the high fidelity simulations, many features involving the flow transition were observed, with the level of turbulence clearly higher in the throat than in the nose. Spectral analysis revealed turbulent characteristics persisting downstream of the glottis, and were captured even with a medium mesh resolution. However a fine mesh resolution was found necessary in the nasal cavity to observe transitional features. This work indicates the potential of large-scale simulations to further understanding of airway physiological mechanics, which is essential to guide clinical diagnosis; better understanding of the flow also has implications for the design of interventions such as aerosol drug delivery.
dc.description.sponsorshipWe acknowledge PRACE for awarding us access to resource FERMI based in Italy at Bologna hosted by Cineca. This work was financially supported by the PRACE project Pra04 693 (2011050693 to the Fourth PRACE regular call). The second author gratefully acknowledges support from project ‘MatComPhys’ under the European Research Executive Agency FP7-PEOPLE-2011- IEF framework. The third author was supported by the Engineering and Physical Sciences Research Council [grant number EP/ M506345/1].
dc.format.extent15 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Impacte ambiental
dc.subject.lcshTurbulent flow
dc.subject.lcshLarge scale systems--Data processing
dc.subject.otherCFD
dc.subject.otherAirways
dc.subject.otherTurbulence
dc.subject.otherInspiratory flow
dc.subject.otherRespiratory airflow
dc.titleLarge-scale CFD simulations of the transitional and turbulent regime for the large human airways during rapid inhalation
dc.typeArticle
dc.subject.lemacSimulació, Mètodes de
dc.subject.lemacFluxos (Sistemes dinàmics diferenciables)
dc.identifier.doi10.1016/j.compbiomed.2015.12.003
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0010482515003881
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/302320/EU/Mathematical Models and High Performance Computing for Deposition and Absorption in Physiological Flows/MATCOMPHYS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/653838/EU/PRACE 4th Implementation Phase Project/PRACE-4IP
local.citation.publicationNameComputers in Biology and Medicine
local.citation.volume69
local.citation.startingPage166
local.citation.endingPage180


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