对空气等离子体的热反应速率系数的随机确定
Anabel Del Val1, Olivier Chazot1
1Aeronautics and Aerospace Department, von Karman Institute for Fluid Dynamics, Chaussée de Waterloo 72, 1640 Rhode-St-Genèse, Belgium.
The Journal of chemical physics
|August 11, 2023
概括
这项研究使用贝叶斯推理和实验数据来确定影响高温空气流动的关键化学反应. 它指出反应是关键的,改善了未来实验的不确定性量化.
科学领域:
- 航空航天工程 航空航天工程
- 化学动力学 化学动力学
- 等离子体物理学的物理学
背景情况:
- 精确的化学动力学对于模拟等离子体风洞中的高温空气流量至关重要.
- 需要随机推理方法来处理实验数据和反应机制中的不确定性.
研究的目的:
- 从等离子风洞数据中推断气相化学反应速率的贝叶斯方法.
- 在高温空气流模型中识别有影响力的反应并量化不确定性.
主要方法:
- 贝叶斯推理框架包括实验数据和操作参数.
- 莫里斯选方法用于识别21反应机制中的敏感反应.
- 通过边界层模型传播后部分布.
主要成果:
- 六个关键反应,主要涉及分离和交换,被确定为最有影响力的.
- 与固定模型场景相比,氧化 (NO) 度的推断不确定性显著增加.
- 确定了影响随机反向问题的特定反应和参数.
结论:
- 开发的随机推理方法有效量化化学动力模型中的不确定性.
- 与相关的反应对于准确建模高温空气流量至关重要.
- 结果为有针对性的实验活动提供信息,以减少模型不确定性.
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