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首页> 外文期刊>Journal of Biomechanics >Large Eddy Simulation and Reynolds-Averaged Navier-Stokes modeling of flow in a realistic pharyngeal airway model: an investigation of obstructive sleep apnea.
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Large Eddy Simulation and Reynolds-Averaged Navier-Stokes modeling of flow in a realistic pharyngeal airway model: an investigation of obstructive sleep apnea.

机译：大型涡流模拟和雷诺平均Navier-Stokes建模在现实的咽气道模型中的流动：阻塞性睡眠呼吸暂停的研究。

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Computational fluid dynamics techniques employing primarily steady Reynolds-Averaged Navier-Stokes (RANS) methodology have been recently used to characterize the transitional/turbulent flow field in human airways. The use of RANS implies that flow phenomena are averaged over time, the flow dynamics not being captured. Further, RANS uses two-equation turbulence models that are not adequate for predicting anisotropic flows, flows with high streamline curvature, or flows where separation occurs. A more accurate approach for such flow situations that occur in the human airway is Large Eddy Simulation (LES). The paper considers flow modeling in a pharyngeal airway model reconstructed from cross-sectional magnetic resonance scans of a patient with obstructive sleep apnea. The airway model is characterized by a maximum narrowing at the site of retropalatal pharynx. Two flow-modeling strategies are employed: steady RANS and the LES approach. In the RANS modeling framework both k-epsilon and k-omega turbulence models are used. The paper discusses the differences between the airflow characteristics obtained from the RANS and LES calculations. The largest discrepancies were found in the axial velocity distributions downstream of the minimum cross-sectional area. This region is characterized by flow separation and large radial velocity gradients across the developed shear layers. The largest difference in static pressure distributions on the airway walls was found between the LES and the k-epsilon data at the site of maximum narrowing in the retropalatal pharynx.
机译：最近已使用主要采用稳定的雷诺平均Navier-Stokes（RANS）方法的计算流体动力学技术来表征人类呼吸道的过渡/湍流流场。使用RANS意味着流现象是随时间平均的，没有捕获流动力学。此外，RANS使用的两方程湍流模型不足以预测各向异性流，流线曲率高的流或发生分离的流。对于人的气道中发生的这种流动情况，更准确的方法是大涡模拟（LES）。本文考虑了从阻塞性睡眠呼吸暂停患者的横截面磁共振扫描重建的咽气道模型中的血流模型。气道模型的特征是在后retro咽部位最大变窄。采用了两种流量建模策略：稳定的RANS和LES方法。在RANS建模框架中，同时使用了k-ε和k-ω湍流模型。本文讨论了从RANS和LES计算获得的气流特性之间的差异。在最小横截面面积下游的轴向速度分布中发现最大的差异。该区域的特征是在分离出的剪切层上存在流动分离和较大的径向速度梯度。在后pal咽的最大变窄部位，LES和k-ε数据之间发现气道壁上的静压分布最大差异。

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