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在OpenFOAM中使用生理上一致的几何和边界条件进行呼吸空气流的多尺度模拟
Quoc Hung Nguyen1, Sungchul Huh2, Kum Ju Chae3
1School of Mechanical Engineering & IEDT, Kyungpook National University, Daegu, South Korea.
Computers in biology and medicine
|September 27, 2025
概括
这项研究引入了一种新的计算流体动力学 (CFD) 模型用于人类呼吸道模拟,提高了用于呼吸系统研究的空气流和粒子沉积分析的准确性.
科学领域:
- 生物医学工程 生物医学工程
- 呼吸系统生理学 呼吸系统生理学
- 计算科学 计算科学
背景情况:
- 当前的计算流体动力学 (CFD) 模型往往缺乏现实的上下呼吸道,限制了呼吸系统模拟的准确性.
- 在现有模型中,整合CT未解决的更高一代气道仍然是一个挑战.
研究的目的:
- 使用CT数据和人工扩展,开发一个生理上一致的人类气道的CFD模型.
- 调查混合雷诺兹-平均纳维埃-斯托克斯 (RANS) 和大模拟 (LES) 流模型以及气道网状光滑学习 (AMSL) 技术对空气流和粒子沉积的影响.
主要方法:
- 在OpenFOAM中创建了一个基于CT的CFD模型,将人工气道延伸到过渡性支气管中.
- 混合RANS-LES流模型和AMSL技术用于几何结构和模拟.
- 从生理上一致的边界条件来自1D网络模拟.
主要成果:
- 压力分布显示上呼吸道的非单调下降,下呼吸道的持续下降.
- 混合RANS-LES模型在流量模式和颗粒沉积方面产生了与LES相似的结果,并且优于传统RANS模型.
- AMSL技术显著影响了气流行为和粒子沉积,强调了精确的几何处理的重要性.
结论:
- 开发的生理一致的CFD模型为临床和研究应用提供了更高的准确性和可靠性.
- 综合性气道模型,从上部到远部的气道,改善了对肺部多层次空气流动力学的理解.
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