Literature DB >> 18514205

Large Eddy Simulation and Reynolds-Averaged Navier-Stokes modeling of flow in a realistic pharyngeal airway model: an investigation of obstructive sleep apnea.

Mihai Mihaescu1, Shanmugam Murugappan, Maninder Kalra, Sid Khosla, Ephraim Gutmark.   

Abstract

Computational fluid dynamics techniques employing primarily steady Reynolds-Averaged Navier-Stokes (RANS) methodology have been recently used to characterize the transitional/turbulent flow field in human airways. The use of RANS implies that flow phenomena are averaged over time, the flow dynamics not being captured. Further, RANS uses two-equation turbulence models that are not adequate for predicting anisotropic flows, flows with high streamline curvature, or flows where separation occurs. A more accurate approach for such flow situations that occur in the human airway is Large Eddy Simulation (LES). The paper considers flow modeling in a pharyngeal airway model reconstructed from cross-sectional magnetic resonance scans of a patient with obstructive sleep apnea. The airway model is characterized by a maximum narrowing at the site of retropalatal pharynx. Two flow-modeling strategies are employed: steady RANS and the LES approach. In the RANS modeling framework both k-epsilon and k-omega turbulence models are used. The paper discusses the differences between the airflow characteristics obtained from the RANS and LES calculations. The largest discrepancies were found in the axial velocity distributions downstream of the minimum cross-sectional area. This region is characterized by flow separation and large radial velocity gradients across the developed shear layers. The largest difference in static pressure distributions on the airway walls was found between the LES and the k-epsilon data at the site of maximum narrowing in the retropalatal pharynx.

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Year:  2008        PMID: 18514205     DOI: 10.1016/j.jbiomech.2008.04.013

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

1.  Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models.

Authors:  Julien Cisonni; Anthony D Lucey; Andrew J C King; Syed Mohammed Shamsul Islam; Richard Lewis; Mithran S Goonewardene
Journal:  Med Biol Eng Comput       Date:  2015-10-01       Impact factor: 2.602

2.  Upper Airway Elasticity Estimation in Pediatric Down Syndrome Sleep Apnea Patients Using Collapsible Tube Theory.

Authors:  Dhananjay Radhakrishnan Subramaniam; Goutham Mylavarapu; Keith McConnell; Robert J Fleck; Sally R Shott; Raouf S Amin; Ephraim J Gutmark
Journal:  Ann Biomed Eng       Date:  2015-08-28       Impact factor: 3.934

3.  Modeling the pharyngeal anatomical effects on breathing resistance and aerodynamically generated sound.

Authors:  Jinxiang Xi; Xiuhua Si; JongWon Kim; Guoguang Su; Haibo Dong
Journal:  Med Biol Eng Comput       Date:  2014-05-10       Impact factor: 2.602

4.  On locating the obstruction in the upper airway via numerical simulation.

Authors:  Yong Wang; S Elghobashi
Journal:  Respir Physiol Neurobiol       Date:  2013-12-31       Impact factor: 1.931

5.  Patient-Specific Geometry Modeling and Mesh Generation for Simulating Obstructive Sleep Apnea Syndrome Cases by Maxillomandibular Advancement.

Authors:  Yasushi Ito; Gary C Cheng; Alan M Shih; Roy P Koomullil; Bharat K Soni; Somsak Sittitavornwong; Peter D Waite
Journal:  Math Comput Simul       Date:  2011-05       Impact factor: 2.463

6.  Investigating the effects of laryngotracheal stenosis on upper airway aerodynamics.

Authors:  Tracy Cheng; David Carpenter; Seth Cohen; David Witsell; Dennis O Frank-Ito
Journal:  Laryngoscope       Date:  2017-10-17       Impact factor: 3.325

7.  Numerical investigation of airflow in an idealized human extra-thoracic airway: a comparison study.

Authors:  Jie Chen; Ephraim Gutmark
Journal:  Biomech Model Mechanobiol       Date:  2013-04-26

8.  Numerical simulation for the upper airway flow characteristics of Chinese patients with OSAHS using CFD models.

Authors:  Jie Tan; Jianmin Huang; Jianguo Yang; Desheng Wang; Jianzhi Liu; Jingbo Liu; Shuchun Lin; Chen Li; Haichun Lai; Hongyu Zhu; Xiaohua Hu; Dongxu Chen; Longxiang Zheng
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-02-03       Impact factor: 2.503

9.  Quantitative assessment of the upper airway in infants and children with subglottic stenosis.

Authors:  Carlton Zdanski; Stephanie Davis; Yi Hong; Di Miao; Cory Quammen; Sorin Mitran; Brad Davis; Marc Niethammer; Julia Kimbell; Elizabeth Pitkin; Jason Fine; Lynn Fordham; Bradley Vaughn; Richard Superfine
Journal:  Laryngoscope       Date:  2015-07-30       Impact factor: 3.325

10.  The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow.

Authors:  Chamindu C Gunatilaka; Andreas Schuh; Nara S Higano; Jason C Woods; Alister J Bates
Journal:  Comput Biol Med       Date:  2020-11-01       Impact factor: 4.589

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