三代人肺几何模型中的非稳态气流与颗粒沉积

Unsteady-state airflow and particle deposition in a three-generation human lung geometry.

作者信息

Nazridoust Kambiz, Asgharian Bahman

机构信息

Division of Computational Biology, The Hamner Institutes for Health Sciences, Research Triangle Park, North Carolina, USA.

出版信息

Inhal Toxicol. 2008 Apr;20(6):595-610. doi: 10.1080/08958370801939374.

Abstract

The study of particle transport and deposition in the human lung is critical in health risk assessment of air pollutants and in pharmaceutical drug delivery. Several computational fluid dynamics (CFD) studies have investigated particle deposition in the lung for simplified airflow scenarios. A shortcoming with most CFD studies is uncertainty regarding flow boundary conditions, which directly impacts airflow and particle deposition. The influence of inlet and outlet conditions on airflow and particle deposition in lung common airways was assessed here. Common airways consisted of nine airways of the human lung ahead of lobes: the trachea, main, and lobar bronchi connected as a network of cylindrical tubes with dimensions based on morphometric measurements. Three different boundary conditions were used: (1) prescribed constant flow rate at the trachea entrance and atmospheric pressure at terminal branch exits, (2) atmospheric pressure at the trachea inlet and prescribed outlet flow rates corresponding to uniform lobar expansion, and (3) the same as case (2) with exit flow rates according to nonuniform lobar expansion. Unsteady airflow fields were numerically solved for a 2-s inhalation. Spherical particles of 1 nm to 10 microm diameter were injected at the trachea inlet, and particle deposition patterns during inhalation were evaluated. A Lagrangian particle tracking method was used that included particle inertia, gravity, and Brownian motion. Predicted flows showed similar trends but with a notable difference in magnitude. Lower particle deposition was found in case (1) for all particle sizes. The differences among these cases indicated the significance of realistic boundary conditions for accurate assessment of the flow field and particle deposition.

摘要

研究颗粒在人体肺部的传输和沉积对于空气污染物的健康风险评估以及药物递送至关重要。多项计算流体动力学(CFD)研究针对简化的气流场景对肺部颗粒沉积进行了调查。大多数CFD研究的一个缺点是流动边界条件存在不确定性,这直接影响气流和颗粒沉积。本文评估了进出口条件对肺部常见气道中气流和颗粒沉积的影响。常见气道由肺叶前方的九条人体气道组成:气管、主支气管和叶支气管相互连接,形成一个圆柱形管道网络,其尺寸基于形态测量数据。使用了三种不同的边界条件:(1)在气管入口规定恒定流速,在末端分支出口规定大气压;(2)在气管入口规定大气压,在出口规定与均匀肺叶扩张相对应的流速;(3)与情况(2)相同,但出口流速根据非均匀肺叶扩张确定。对2秒的吸气过程进行了非定常气流场的数值求解。在气管入口注入直径为1纳米至10微米的球形颗粒,并评估吸气过程中的颗粒沉积模式。采用了拉格朗日颗粒跟踪方法,该方法考虑了颗粒惯性、重力和布朗运动。预测的气流显示出相似的趋势,但在量级上有显著差异。在情况(1)中,所有粒径的颗粒沉积都较低。这些情况之间的差异表明了现实边界条件对于准确评估流场和颗粒沉积的重要性。

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