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关于洲际商用飞机座位的新冠疫情安全排名:一个初步的多物理场计算视角

On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective.

作者信息

Desai Prathamesh S, Sawant Nihar, Keene Andrew

机构信息

Mechanical Engineering, W. M. Rice University, Houston, TX USA.

Courant Institute of Mathematical Sciences, New York University, New York, NY USA.

出版信息

Build Simul. 2021;14(6):1585-1596. doi: 10.1007/s12273-021-0774-y. Epub 2021 Feb 11.

DOI:10.1007/s12273-021-0774-y
PMID:33589867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7876531/
Abstract

UNLABELLED

The evolution of coronavirus disease (COVID-19) into a pandemic has severely hampered the usage of public transit systems. In a post-COVID-19 world, we may see an increased reliance on autonomous cars and personal rapid transit (PRT) systems, with inherent physical distancing, over buses, trains and aircraft for intracity, intercity, and interstate travel. However, air travel would continue to be the dominant mode of intercontinental transportation for humans. In this study, we perform a comprehensive computational analysis, using ANSYS Fluent, of typical intercontinental aircraft ventilation systems to determine the seat where environmental factors are most conducive to human comfort with regards to air quality, protection from orally or nasally released pollutants such as CO and coronavirus, and thermal comfort levels. Air velocity, temperature, and air pollutant concentration emitted from the nose/mouth of fellow travelers are considered for both Boeing and Airbus planes. In each plane, first class, business class, and economy class sections were analyzed. We present conclusions as to which is the optimum seat in each section of each plane and provide the data of the environmental conditions to support our inferences. The findings may be used by the general public to decide which seat to occupy for their next intercontinental flight. Alternatively, the commercial airliners can use such a model to plan the occupancy of the aircraft on long-duration intercontinental flights (viz., Airbus A380 and Boeing B747).

ELECTRONIC SUPPLEMENTARY MATERIAL

Supplementary material is available for this article at 10.1007/s12273-021-0774-y and is accessible for authorized users.

摘要

未标注

冠状病毒病(COVID-19)演变成大流行严重阻碍了公共交通系统的使用。在COVID-19后的世界里,我们可能会看到,在市内、城际和州际旅行中,相较于公交车、火车和飞机,人们会更依赖具有固有物理距离的自动驾驶汽车和个人快速运输(PRT)系统。然而,航空旅行仍将是人类洲际运输的主要方式。在本研究中,我们使用ANSYS Fluent对典型的洲际飞机通风系统进行了全面的计算分析,以确定在空气质量、免受一氧化碳和冠状病毒等口鼻释放污染物的影响以及热舒适度方面,环境因素最有利于人类舒适的座位。对于波音和空客飞机,均考虑了同行乘客口鼻排放的空气流速、温度和空气污染物浓度。在每架飞机中,分别对头等舱、商务舱和经济舱进行了分析。我们得出了每架飞机各舱段中最佳座位的结论,并提供了环境条件数据以支持我们的推断。这些发现可供公众用于决定下次洲际航班乘坐哪个座位。或者,商业航空公司可以使用这样的模型来规划长途洲际航班(即空客A380和波音B747)的飞机座位占用情况。

电子补充材料

本文的补充材料可在10.1007/s12273-021-0774-y获取,授权用户可访问。