Frank-Ito Dennis O, Wofford Matthew, Schroeter Jeffry D, Kimbell Julia S
1 Division of Otolaryngology, Head and Neck Surgery, Duke University Medical Center , Durham, North Carolina.
2 Department of Otolaryngology, Head and Neck Surgery, University of North Carolina , Chapel Hill, North Carolina.
J Aerosol Med Pulm Drug Deliv. 2016 Feb;29(1):46-56. doi: 10.1089/jamp.2014.1188. Epub 2015 Jun 11.
There are methodological ambiguities in the literature on mesh refinement analysis for computational fluid dynamics (CFD) modeling of physiologically realistic airflow dynamics and particle transport in the human sinonasal cavity. To investigate grid independence in discretization of the (sino)nasal geometry, researchers have considered CFD variables such as pressure drop, velocity profile, wall shear, airflow, and particle deposition fractions. Standardization in nasal geometry is also lacking: unilateral or bilateral nasal cavities with and without paranasal sinuses have been used. These methodological variants have led to inconsistencies in establishing grid-independent mesh densities. The aim of this study is to provide important insight in the role of mesh refinement analysis on airflow and particle deposition in sinonasal airway modeling.
A three-dimensional reconstruction of the complete sinonasal cavity was created from computed tomography images of a subject who had functional endoscopic sinus surgery. To investigate airflow grid independence, nine different tetrahedral mesh densities were generated. For particle transport mesh refinement analysis, hybrid tetrahedral-prism elements with near-wall prisms ranging from 1 to 6 layers were implemented. Steady-state, laminar inspiratory airflow simulations under physiologic pressure-driven conditions and nebulized particle transport simulations were performed with particle sizes ranging from 1-20 μm.
Mesh independence for sinonasal airflow was achieved with approximately 4 million unstructured tetrahedral elements. The hybrid mesh containing 4 million tetrahedral cells with three prism layers demonstrated asymptotic behavior for sinonasal particle deposition. Inclusion of boundary prism layers reduced deposition fractions relative to tetrahedral-only meshes.
To ensure numerically accurate simulation results, mesh refinement analyses should be performed for both airflow and particle transport simulations. Tetrahedral-only meshes overpredict particle deposition and are less accurate than hybrid tetrahedral-prism meshes.
在关于生理逼真的气流动力学和人类鼻窦腔内颗粒传输的计算流体动力学(CFD)建模的网格细化分析文献中存在方法上的模糊性。为了研究(鼻)鼻窦几何结构离散化中的网格独立性,研究人员考虑了CFD变量,如压降、速度剖面、壁面切应力、气流和颗粒沉积分数。鼻窦几何结构也缺乏标准化:使用了有或没有鼻窦的单侧或双侧鼻腔。这些方法上的差异导致在建立与网格无关的网格密度时出现不一致。本研究的目的是深入了解网格细化分析在鼻窦气道建模中对气流和颗粒沉积的作用。
从一名接受功能性内窥镜鼻窦手术的受试者的计算机断层扫描图像创建了完整鼻窦腔的三维重建模型。为了研究气流网格独立性,生成了九种不同的四面体网格密度。对于颗粒传输网格细化分析,采用了具有1至6层近壁棱柱的混合四面体 - 棱柱单元。在生理压力驱动条件下进行稳态层流吸气气流模拟,并进行雾化颗粒传输模拟,颗粒尺寸范围为1 - 20μm。
使用大约400万个非结构化四面体单元实现了鼻窦气流的网格独立性。包含400万个四面体单元和三层棱柱的混合网格在鼻窦颗粒沉积方面表现出渐近行为。相对于仅四面体的网格,包含边界棱柱层降低了沉积分数。
为确保数值模拟结果的准确性,应对气流和颗粒传输模拟都进行网格细化分析。仅四面体的网格高估了颗粒沉积,并且比混合四面体 - 棱柱网格的准确性更低。