Numerical Analysis of Energy Density Distribution in the Human Lungs Under Low-Frequency Acoustic Excitation

Authors

  • Arife Uzundurukan Centre de Recherche Acoustique-Signal-Humain de l'Université de Sherbrooke, Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke (QC), J1K2R1, Canada, CA
  • Sébastien Poncet Centre de Recherche Acoustique-Signal-Humain de l'Université de Sherbrooke, Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke (QC), J1K2R1, Canada, CA
  • Daria Camilla Boffito Department of Chemical Engineering, Polytechnique Montréal, C.P. 6079, Succ. CV Montréal (QC), H3C3A7, Canada, CA
  • Philippe Micheau Centre de Recherche Acoustique-Signal-Humain de l'Université de Sherbrooke, Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke (QC), J1K2R1, Canada, CA

Abstract

According to the 2018 annual report of Canada, 3.8 million people are living with asthma, and 2 million are living with chronic obstructive pulmonary disease (COPD), both of which can impact a person's ability to breathe because of excessive mucus accumulation in bronchioles. However, most people with COPD can achieve reasonable symptoms to control and quality of life with the help of an acoustic airway clearance device, which supplies vibrations to act on bronchial mucus's viscoelastic, shear-thinning, and thixotropic properties, liquefying it to ease expectoration. Yet since, no 3D complex and whole thorax geometry is used to understand and/or optimize the lungs' behaviour numerically. This study aims at investigating the human lungs under airway clearance therapy (ACT) with a 3D validated realistic computed tomography-based numerical finite element analysis CT/FEA of the human thorax. We study the lungs under ACT in the frequency domain (5-100 Hz) using COMSOL 6.1 Multiphysics®. Results show that the lungs are most affected at approximately 30 Hz, which is consistent with former experimental studies. Furthermore, the mean value of the strain energy density follows the mean value of kinetic energy density by 32 Hz. Therefore, this study provides valuable insights into optimizing treatment for respiratory conditions.

Additional Files

Published

2023-10-09

How to Cite

1.
Uzundurukan A, Poncet S, Boffito DC, Micheau P. Numerical Analysis of Energy Density Distribution in the Human Lungs Under Low-Frequency Acoustic Excitation. Canadian Acoustics [Internet]. 2023 Oct. 9 [cited 2024 Jun. 19];51(3):86-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/4106

Issue

Section

Proceedings of the Acoustics Week in Canada