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PMID: 26773939 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Large-scale CFD simulations of the transitional and turbulent regime for the large human airways during rapid inhalation.

Computers in biology and medicine ·Vol. 69 ·2016-02-01 ·页码 166-80

Calmet H, Gambaruto AM, Bates AJ, Vázquez M, Houzeaux G, Doorly DJ

Abstract

The 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.

Keywords
Airways CFD Inspiratory flow Respiratory airflow Turbulence
MeSH 主题词
Administration, Inhalation Computer Simulation Humans Inhalation/physiology Male Middle Aged Models, Biological Nasal Cavity/diagnostic imaging,physiology Pulmonary Ventilation/physiology Tomography, X-Ray Computed Trachea/diagnostic imaging,physiology
作者与单位
共 6 位作者,点击展开单位 / ORCID
Calmet Hadrien
Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio Nexus II - Planta 3 C/ JORDI GIRONA, 29 08034 Barcelona, Spain. Electronic address: [email protected].
Gambaruto Alberto M
Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio Nexus II - Planta 3 C/ JORDI GIRONA, 29 08034 Barcelona, Spain.
Bates Alister J
Imperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Vázquez Mariano
Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio Nexus II - Planta 3 C/ JORDI GIRONA, 29 08034 Barcelona, Spain.
Houzeaux Guillaume
Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, Edificio Nexus II - Planta 3 C/ JORDI GIRONA, 29 08034 Barcelona, Spain.
Doorly Denis J
Imperial College London, Department of Aeronautics, Exhibition Road, London SW7 2AZ, UK.
Article Info
Journal
Computers in biology and medicine
Abbr.
Comput Biol Med
ISSN
1879-0534
Corresponding email
Published
2016-02-01
电子出版
2015-00-17
页码
166-80
Language
English
Country/Region
United States
NLM ID
1250250
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