Literature DB >> 31319949

In silico investigation of sneezing in a full real human upper airway using computational fluid dynamics method.

Hamidreza Mortazavy Beni1, Kamran Hassani2, Siamak Khorramymehr1.   

Abstract

BACKGROUND AND
OBJECTIVE: Sneezing is one of the most critical conditions that can occur in the human upper airway. As some reports confirm the injury to the human upper respiratory airway while sneezing. Therefore, the accurate study of the distribution of pressure and velocity in this case is of great importance.
METHODS: In the present study, using a real human upper airway model, the pressure and velocity of the airflow generated in the tract during the sneezing have been investigated. Also, considering the results from a spirometer device as a boundary condition in the simulation process, the calculations have become reliable.
RESULTS: According to the results, during sneezing, taking into account that the average outlet flow rate from the mouth is 4.79 L/s, the velocity of outlet airflow from the mouth and nose reaches 5.3 and 8.4 m/s, respectively. These values were 11.5 and 19, respectively, when the desired maximum flow rate was 10.58 L/s. It can be concluded that the increasing of trachea flow rate, leads to higher percentage of the outlet flow rate from the nose . The highest average pressure and velocity have been occurred in the trachea. Among other salient results of this report, increased average static pressure of larynx to approximately 10 kPa can be pointed which indicates that this area is critical so that the thyroid cartilage defect is likely to occur. It is also noteworthy that the increase of speed at nasopharynx is up to 125 m/s so that the cross-section changing in this area leads the fluid acts as a jet flow. Due to the specific geometry of the nasal cavity, some streams similar to poor shocks are formed, these shocks get stronger by increasing of the flow rate. The thyroid cartilage and nasal cavity are exposed to maximum static pressure extremums, respectively.
CONCLUSIONS: We introduced a model simulating a normal sneezing for two cases using a healthy 30-year-old male person. We believe that the model should be applied for different persons and an atlas of data could be obtained from different cases. This may help the medical system to have more data about the sneezing process.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CFD; Nasopharynx; Sneeze; Thyroid cartilage; Upper airway

Year:  2019        PMID: 31319949     DOI: 10.1016/j.cmpb.2019.05.031

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  7 in total

Review 1.  Computational fluid dynamics modelling of human upper airway: A review.

Authors:  W M Faizal; N N N Ghazali; C Y Khor; Irfan Anjum Badruddin; M Z Zainon; Aznijar Ahmad Yazid; Norliza Binti Ibrahim; Roziana Mohd Razi
Journal:  Comput Methods Programs Biomed       Date:  2020-06-26       Impact factor: 5.428

2.  Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study.

Authors:  Yu Feng; Thierry Marchal; Ted Sperry; Hang Yi
Journal:  J Aerosol Sci       Date:  2020-05-18       Impact factor: 3.433

3.  SARS-CoV-2 droplet deposition path and its effects on the human upper airway in the oral inhalation.

Authors:  Hamed Mortazavi; Hamidreza Mortazavy Beni; Fatemeh Aghaei; Seyed Hossein Sajadian
Journal:  Comput Methods Programs Biomed       Date:  2020-11-15       Impact factor: 5.428

4.  The effect of rapid maxillary expansion on the upper airway's aerodynamic characteristics.

Authors:  Xin Feng; Yicheng Chen; Kristina Hellén-Halme; Weihua Cai; Xie-Qi Shi
Journal:  BMC Oral Health       Date:  2021-03-17       Impact factor: 2.757

Review 5.  Airborne and aerosol pathogen transmission modeling of respiratory events in buildings: An overview of computational fluid dynamics.

Authors:  Yahya Sheikhnejad; Reihaneh Aghamolaei; Marzieh Fallahpour; Hamid Motamedi; Mohammad Moshfeghi; Parham A Mirzaei; Hadi Bordbar
Journal:  Sustain Cities Soc       Date:  2022-01-19       Impact factor: 10.696

6.  Research Active Posterior Rhinomanometry Tomography Method for Nasal Breathing Determining Violations.

Authors:  Oleg G Avrunin; Yana V Nosova; Ibrahim Younouss Abdelhamid; Sergii V Pavlov; Natalia O Shushliapina; Natalia A Bouhlal; Ainur Ormanbekova; Aigul Iskakova; Damian Harasim
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

Review 7.  Biomedical and biophysical limits to mathematical modeling of pulmonary system mechanics: a scoping review on aerosol and drug delivery.

Authors:  Hamidreza Mortazavy Beni; Hamed Mortazavi; Mohammad Saidul Islam
Journal:  Biomech Model Mechanobiol       Date:  2021-11-01
  7 in total

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