Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91440
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dc.contributorDepartment of Mechanical Engineering-
dc.creatorShao, J-
dc.creatorYan, W-
dc.creatorLiu, Y-
dc.creatorLu, M-
dc.date.accessioned2021-11-03T06:53:39Z-
dc.date.available2021-11-03T06:53:39Z-
dc.identifier.issn1748-670X-
dc.identifier.urihttp://hdl.handle.net/10397/91440-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2021 Jiacun Shao et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Shao, J., Yan, W., Liu, Y., & Lu, M. (2021). Flow Simulation in the Upper Respiratory Tract of Two Obstructive Sleep Apnea Patients with Successful and Failed Surgery. Computational and Mathematical Methods in Medicine, 2021 is available at https://doi.org/10.1155/2021/6683828en_US
dc.titleFlow simulation in the upper respiratory tract of two obstructive sleep apnea patients with successful and failed surgeryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2021-
dc.identifier.doi10.1155/2021/6683828-
dcterms.abstractObstructive sleep apnea (OSA) is a common disorder which may need to be treated by the upper respiratory tract (URT) surgery. To increase the success rate of the URT surgery, it is crucial to understand the flow features in the URT models. In this work, the turbulent flow characteristics in four 3D anatomically accurate URT models reconstructed from two OSA subjects with successful and failed surgery are numerically studied by the large-eddy simulation (LES) and unsteady Reynolds-averaged Navier-Stokes (RANS). The features of velocity fields, pressure fields, and wall shear stress fields as well as the spectral analysis of wall shear stress between successful and failed surgery are explored. The results indicate that LES is capable of capturing flow patterns and flow oscillation and is effective for OSA surgery prediction. Even if the unsteady RANS can obtain the correct pressure drop across the airways, it may not be appropriate to be used for surgery prediction. Moreover, it is found that the quality of oscillating signal of wall shear stress is a key factor in surgery prediction. In a successful surgery, the wall shear stress oscillation is always strong, and the oscillating signal can perform a dominant frequency near 35 Hz, while in a failed surgery it does not show this clear intrinsic property. The results not only will gain new insights in the URT surgical planning but also will improve the prediction of surgical outcome for OSA patients.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputational and mathematical methods in medicine, 2021, v. 2021, 6683828-
dcterms.isPartOfComputational and mathematical methods in medicine-
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85106351159-
dc.identifier.pmid34040651-
dc.identifier.eissn1748-6718-
dc.identifier.artn6683828-
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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