Numerical investigations on the deposition characteristics of lunar dust in the human bronchial airways  

作　　者：Hao Jing Yuan Xue Bin Wu Yixiao Wang Zhaojun Xi Xinguang Cui 

机构地区：[1]School of Aerospace Engineering,Huazhong University of Science and Technology,Wuhan,430074,China [2]China Astronaut Research and Training Center,Beijing,China [3]China-EU Institute for Clean and Renewable Energy,Huazhong University of Science and Technology,Wuhan,China

出　　处：《Particuology》2025年第2期25-38,共14页颗粒学报(英文版)

基　　金：This research was supported by the National Natural Science Foundation of China(grant No.12172146).

摘　　要：Although it is widely acknowledged that lunar dust (LD) is toxic to the human health, its deposition characteristics in the bronchial airways remain unknown, which is significantly important to understand its toxicity. Therefore, this study employs computational fluid dynamics and machine learning algorithm methods to address this issue considering the difficulty of conducting the experiments of LD deposition. The major results are: (1) the deposition efficiencies (DE) of micrometer-sized LD in the terminal bronchioles vary significantly depending on the human body posture, with a notable difference of DE up to 29% between standing and lying flat postures;(2) LD deposition in various bronchial regions shows differences under activity intensities, with higher DE in segmental bronchi and terminal bronchioles under intense and lower intensive activities, respectively;(3) In predicting DE of LD, machine learning algorithms outperform fitting functions, achieving higher precision and smaller errors, reducing the root mean square error by approximately 60%–80%. These results indicate that LD deposition characteristics in the bronchial airways under lunar environment are also influenced by the combined factors of particle size, activity intensity, and body posture.

关 键 词：Deposition of lunar dust Bronchial airways Computational fluid dynamics Machine learning algorithms 

分 类 号：R857.3[医药卫生—航空、航天与航海医学]