Issue |
E3S Web Conf.
Volume 356, 2022
The 16th ROOMVENT Conference (ROOMVENT 2022)
|
|
---|---|---|
Article Number | 02038 | |
Number of page(s) | 4 | |
Section | Underground Environment and Specialized Application | |
DOI | https://doi.org/10.1051/e3sconf/202235602038 | |
Published online | 31 August 2022 |
Train-induced unsteady airflow (TIUA) characteristics of track area in subway station with platform screen doors (PSDs)
1 School of Mechanical Engineering, Shijiazhuang Tiedao University, 050043 Shijiazhuang, China
2 School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, 710055 Xi’an, China
3 China Railway First Survey and Design Institute Group LTD, 710043 Xi’an, China
* Corresponding author: liag@xauat.edu.cn
Train-induced unsteady airflow (TIUA) has a great effect on the ventilation and thermal environment of a subway line. Track area, connecting tunnel with station, is the source of the TIUA acting on subway station. Exploring the TIUA characteristics of track area contributes to utilizing the TIUA for improving the tunnel and station environment. In this study, a 1D numerical model according to an actual subway line was established by IDA Tunnel software, to analyse the TIUA rates through the inbound and outbound ends of track area in the PSDs subway station. Four key factors, namely, train arrival time interval between both tunnels, train interval, operation modes of piston vent shafts and bypass ducts, were analysed. The results demonstrate that the TIUA rates of track area in PSDs subway station (bypass ducts closed) are mainly affected by the train driving in this tunnel. The TIUA rates of track area decreases about 36%∼41%, as the train interval increases from 180 s to 540 s. By adjusting the operation modes of piston vent shafts, the change of TIUA rates of track area can reach up to about 13%∼27%. By opening bypass ducts, the TIUA rates of track area decreases by 42%∼50%.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.