A simulation-based inverse design of preset aircraft cabin environment

2014 ◽  
Vol 82 ◽  
pp. 20-26 ◽  
Author(s):  
Tian-hu Zhang ◽  
Xue-yi You
2017 ◽  
Vol 27 (10) ◽  
pp. 1379-1391 ◽  
Author(s):  
Jihong Wang ◽  
Tengfei (Tim) Zhang ◽  
Hongbiao Zhou ◽  
Shugang Wang

To design a comfortable aircraft cabin environment, designers conventionally follow an iterative guess-and-correction procedure to determine the air-supply parameters. The conventional method has an extremely low efficiency but does not guarantee an optimal design. This investigation proposed an inverse design method based on a proper orthogonal decomposition of the thermo-flow data provided by full computational fluid dynamics simulations. The orthogonal spatial modes of the thermo-flow fields and corresponding coefficients were firstly extracted. Then, a thermo-flow field was expressed into a linear combination of the spatial modes with their coefficients. The coefficients for each spatial mode are functions of air-supply parameters, which can be interpolated. With a quick map of the cause–effect relationship between the air-supply parameters and the exhibited thermo-flow fields, the optimal air-supply parameters were determined from specific design targets. By setting the percentage of dissatisfied and the predicted mean vote as design targets, the proposed method was implemented for inverse determination of air-supply parameters in two aircraft cabins. The results show that the inverse design using computational fluid dynamics-based proper orthogonal decomposition method is viable. Most of computing time lies in the construction of data samples of thermo-flow fields, while the proper orthogonal decomposition analysis and data interpolation is efficient.


2017 ◽  
Vol 125 ◽  
pp. 99-110 ◽  
Author(s):  
Zhanqi Tang ◽  
Xujia Cui ◽  
Yong Guo ◽  
Nan Jiang ◽  
Shen Dai ◽  
...  

2020 ◽  
Vol 12 (20) ◽  
pp. 8724
Author(s):  
Paul Schwarzbach ◽  
Julia Engelbrecht ◽  
Albrecht Michler ◽  
Michael Schultz ◽  
Oliver Michler

With the rise of COVID-19, the sustainability of air transport is a major challenge, as there is limited space in aircraft cabins, resulting in a higher risk of virus transmission. In order to detect possible chains of infection, technology-supported apps are used for social distancing. These COVID-19 applications are based on the display of the received signal strength for distance estimation, which is strongly influenced by the spreading environment due to the signal multipath reception. Therefore, we evaluate the applicability of technology-based social distancing methods in an aircraft cabin environment using a radio propagation simulation based on a three-dimensional aircraft model. We demonstrate the susceptibility to errors of the conventional COVID-19 distance estimation, which can lead to large errors in the determination of distances and to the impracticability of traditional tracing approaches during passenger boarding/deboarding. In the context of the future connected cabin, a robust distance measurement must be implemented to ensure safe travel. Finally, our results can be transferred to similar fields of application, e.g., trains or public transport.


2019 ◽  
Vol 163 ◽  
pp. 106320
Author(s):  
Atsushi Mizukoshi ◽  
Kenichi Azuma ◽  
Shigehiro Sugiyama ◽  
Daisuke Tanaka ◽  
Masashi Inoue ◽  
...  

Indoor Air ◽  
2017 ◽  
Vol 27 (6) ◽  
pp. 1154-1167 ◽  
Author(s):  
C. P. Weisel ◽  
N. Fiedler ◽  
C. J. Weschler ◽  
P. A. Ohman-Strickland ◽  
K. R. Mohan ◽  
...  

2020 ◽  
Author(s):  
Jing LIU ◽  
Suihuai YU ◽  
Jianjie CHU

Abstract Comfort is becoming one of the most important principles in the process of design and evaluation of civil aircraft cabin. However, the comprehensive quantitative evaluation of comfort in an aircraft cabin is a complicated issue, because of the subjectivity of comfort perception and a large amount of factors involved in the whole complex cabin system. A hybrid model combined with Decision Making Trial and Evaluation Laboratory (DEMATEL) method and fuzzy comprehensive evaluation is proposed, which considers both the interrelation between the criteria and the fuzziness of subjective comfort perception concurrently. The result of empirical study from questionnaire survey in flight was consistent with that of the hybrid model. The proposed model is effective. It could provide a more reasonable priority to improve comfort in the aircraft cabin. According to the measured results of cabin environment, cabin facilities and layout, seat and service, the specific differences between the criteria can be displayed clearly, which is helpful to improve the cabin comfort level.


2019 ◽  
Vol 150 ◽  
pp. 33-43 ◽  
Author(s):  
Yun Wei ◽  
Wei Liu ◽  
Yu Xue ◽  
Zhiqiang (John) Zhai ◽  
Qingyan (Yan) Chen ◽  
...  

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