Bulletin of the American Physical Society
75th Annual Meeting of the Division of Fluid Dynamics
Volume 67, Number 19
Sunday–Tuesday, November 20–22, 2022; Indiana Convention Center, Indianapolis, Indiana.
Session L05: Biological Fluid Dynamics: General II
8:00 AM–10:10 AM,
Monday, November 21, 2022
Room: 132
Chair: Michael Plesniak, The George Washington University
Abstract: L05.00003 : Aqueous humor dynamics under segmental flow conditions*
8:26 AM–8:39 AM
Presenter:
Gregorio J Matrinez Sanchez
(Universidad Nacional Autonoma de Mexico)
Authors:
Gregorio J Matrinez Sanchez
(Universidad Nacional Autonoma de Mexico)
Carlos Escobar del Pozo
(Universidad de Colima)
Jorge L Naude de la Llave
(Universidad Nacional Autonoma de Mexico)
Jose A Rocha Medina
(.)
The present work describes the motion of aqueous humor through the anterior chamber and the trabecular drainage system, considering the segmental flow (heterogeneous trabecular meshwork) and non-segmental flow (homogeneous trabecular meshwork). The 3D computational model, implemented into the open-source software, was reconstructed from an optical coherence tomography. The model has been employed to simulate the aqueous humor dynamics considering buoyancy effects. The presence of the anterior chamber, the trabecular meshwork, and the Schlemm’s canal were taken into consideration with four real distributions of collector channels and one idealized arrangement of channels. The influence of collector channels position on the intraocular pressure and shear stress has been analyzed, for a homogeneous and heterogeneous trabecular meshwork condition. Aqueous humor velocity, pressure, temperature, wall shear stress, skin friction coefficient, and Nusselt number, are presented for the different cases. The results indicate that the position of the collector channels has a strong influence on the wall shear stress on the Schlemm’s canal and collector channels.
*This work was supported by Consejo Nacional de Ciencia y Tecnologia (CONACYT) [grant: 427822 Gregorio Martínez], and the Research Project Grant CF-2019 6358 Ciencia de Frontera 2019.
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