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人类鼻腔气道中的气流机制。

Mechanics of airflow in the human nasal airways.

作者信息

Doorly D J, Taylor D J, Schroter R C

机构信息

Department of Aeronautics, Imperial College London, Exhibition Road, London SW7 2AZ, UK.

出版信息

Respir Physiol Neurobiol. 2008 Nov 30;163(1-3):100-10. doi: 10.1016/j.resp.2008.07.027. Epub 2008 Aug 14.

Abstract

The mechanics of airflow in the human nasal airways is reviewed, drawing on the findings of experimental and computational model studies. Modelling inevitably requires simplifications and assumptions, particularly given the complexity of the nasal airways. The processes entailed in modelling the nasal airways (from defining the model, to its production and, finally, validating the results) is critically examined, both for physical models and for computational simulations. Uncertainty still surrounds the appropriateness of the various assumptions made in modelling, particularly with regard to the nature of flow. New results are presented in which high-speed particle image velocimetry (PIV) and direct numerical simulation are applied to investigate the development of flow instability in the nasal cavity. These illustrate some of the improved capabilities afforded by technological developments for future model studies. The need for further improvements in characterising airway geometry and flow together with promising new methods are briefly discussed.

摘要

本文借鉴实验和计算模型研究结果,对人类鼻腔气道中的气流机制进行了综述。建模不可避免地需要简化和假设,尤其是考虑到鼻腔气道的复杂性。对鼻腔气道建模所涉及的过程(从定义模型到生成模型,最后验证结果)进行了严格审查,包括物理模型和计算模拟。建模中所做的各种假设的适用性仍然存在不确定性,特别是在流动性质方面。本文展示了新的研究成果,其中应用高速粒子图像测速技术(PIV)和直接数值模拟来研究鼻腔内流动不稳定性的发展。这些成果说明了技术发展为未来模型研究提供的一些改进能力。本文还简要讨论了在表征气道几何形状和气流方面进一步改进的必要性以及有前景的新方法。

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