ArticleJournal of biomechanics2017
Computational modeling and validation of human nasal airflow under various breathing conditions.
Article in Journal of biomechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- CFD-Enabled Deep Insert Nasal Delivery for Precision Sinus Targeting.Pharmaceutical research · 2026Article
- Unique Features of Nasal Airway and Airflow Improvement Post-Dupilumab: A Computational Cohort Study.The Laryngoscope · 2026Article
- Multiscale simulation of respiratory airflow using physiologically consistent geometry and boundary conditions in OpenFOAM.Computers in biology and medicine · 2025Article
- Neuroanatomical and neurochemical organization of brainstem and forebrain circuits involved in breathing regulation.Journal of neurophysiology · 2025Review
- Article
- Does Total Turbinectomy Always Lead to Empty Nose Syndrome? A Computational Virtual Surgery Study.The Laryngoscope · 2025Article
- Forward Computational Modeling of Respiratory Airflow.Applied sciences (Basel, Switzerland) · 2024Article
- Oxymetazoline as a predictor of turbinate reduction surgery outcomes: Objective support from a prospective, single-blinded, computational fluid dynamics study.International forum of allergy & rhinology · 2024Article
- Computational multiphysics modeling of radioactive aerosol deposition in diverse human respiratory tract geometries.Communications engineering · 2024Article
- Is the mouse nose a miniature version of a rat nose? A computational comparative study.Computer methods and programs in biomedicine · 2024Article
- The air conditioning in the nose of mammals depends on their mass and on their maximal running speed.Scientific reports · 2024Article
- Computational Rhinology: Unraveling Discrepancies between In Silico and In Vivo Nasal Airflow Assessments for Enhanced Clinical Decision Support.Bioengineering (Basel, Switzerland) · 2024Review
- Aerodynamic evaluation of surgical design for the stenosis correction of airway.Frontiers in cardiovascular medicine · 2024Article
- Comparison of treatments for equine laryngeal hemiplegia using computational fluid dynamic analysis in an equine head model.Frontiers in veterinary science · 2024Article
- Toward a Mesoscopic Modeling Approach of Magnetohydrodynamic Blood Flow in Pathological Vessels: A Comprehensive Review.Annals of biomedical engineering · 2023Review
- Domestic cat nose functions as a highly efficient coiled parallel gas chromatograph.PLoS computational biology · 2023Article
- Numerical and Experimental Analysis of Drug Inhalation in Realistic Human Upper Airway Model.Pharmaceuticals (Basel, Switzerland) · 2023Article
- In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway.Pharmaceutics · 2023Article
- Numerical simulation of upper airway heat transfer in children with mandibular retrognathia during inspiratory process.Frontiers in pediatrics · 2023Article
- Computational fluid dynamic modeling of the effect of dupilumab in the management of anosmia secondary to chronic rhinosinusitis with nasal polyps (CRSwNP).International forum of allergy & rhinology · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
The human nose serves vital physiological functions, including warming, filtration, humidification, and olfaction. These functions are based on transport phenomena that depend on nasal airflow patterns and turbulence. Accurate prediction of these airflow properties requires careful selection of computational fluid dynamics models and rigorous validation. The validation studies in the past have been limited by poor representations of the complex nasal geometry, lack of detailed airflow comparisons, and restricted ranges of flow rate. The objective of this study is to validate various numerical methods based on an anatomically accurate nasal model against published experimentally measured data under breathing flow rates from 180 to 1100ml/s. The numerical results of velocity profiles and turbulence intensities were obtained using the laminar model, four widely used Reynolds-averaged Navier-Stokes (RANS) turbulence models (i.e., k-ε, standard k-ω, Shear Stress Transport k-ω, and Reynolds Stress Model), large eddy simulation (LES) model, and direct numerical simulation (DNS). It was found that, despite certain irregularity in the flow field, the laminar model achieved good agreement with experimental results under restful breathing condition (180ml/s) and performed better than the RANS models. As the breathing flow rate increased, the RANS models achieved more accurate predictions but still performed worse than LES and DNS. As expected, LES and DNS can provide accurate predictions of the nasal airflow under all flow conditions but have an approximately 100-fold higher computational cost. Among all the RANS models tested, the standard k-ω model agrees most closely with the experimental values in terms of velocity profile and turbulence intensity.
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