基于动网格的客舱呼吸道病原体扩散规律研究

Study on Diffusion Law of Respiratory Pathogen in Aircraft Cabin Based on Moving Grid Technique

为了充分认识飞机客舱内呼吸道病原体的扩散规律,研究了患病乘客静止和移动两种情况下,客舱内呼吸道病原体浓度分布以及剩余乘客的感染风险。首先,建立5排波音737座舱模型,利用实验舱和红外光声谱气体检测仪来验证建模的合理性。然后,通过编写UDF(User Defined Function)配合动网格技术来控制患病乘客的走动,得出基于组分模型下的两种病原体浓度分布情况。最后,将采样值代入IF(Intake Fraction)指标评价出交叉感染风险。结果表明:在同一边界条件下,静坐患病乘客更有利于将病原体传播给同排的乘客,而移动的患病乘客则更容易对每排过道处以及客舱尾部的乘客造成严重感染;将采样值带入IF指标计算,得出患病乘客的走动会导致剩余乘客感染风险增加6.03倍。

To understand respiratory pathogen diffusion law in the cabin of aircraft, the concentration distribution of pathogens and infection risk among passengers in the cabin of sick passengers under static and mobile conditions were studied. First, the Boeing 737 cabin model with five rows was built, and the experiment cabin and infrared photoacoustic spectrum gas detector were used to verify the modeling rationality. Then, the component model was applied to obtain the concentration distribution of pathogens under two conditions based on the UDF and the dynamic grid technology. Finally, the sampling value was substituted into the Intake Fraction(IF) index to evaluate the risk of cross infection. The results indicate that under the same boundary condition, sitting sick passengers transmit pathogens to the passengers in the same row, and the moving sick passenger can cause severe infection to the passengers in the aisle and at the rear of the cabin;The walking of the sick passenger increases the infection risk by 6.03 times by taking the sample values into the IF index calculation.