Prediction of unorganized ventilation induced by piston effect in subway stations based on parametric CFD and deep learning model
土木与环境工程学报2026年 页码:1-14
作者机构:
重庆大学 土木工程学院,重庆 400045
作者简介:
LI Song (2000- ), main research interests: ventilation and energy efficiency in public buildings, E-mail: 202316021227t@stu.cqu.edu.cn.
LIU Meng (corresponding author), professor, doctorial supervisor, E-mail: liumeng@cqu.edu.cn.
LI Ziqiao (corresponding author), assistant researcher, E-mail: z.li@cqu.edu.cn.
基金信息:
Central University Basic Research Fund for Outstanding Young Teams(2024CDJYXTD-003);2024 Chongqing University Graduate Student Research Innovation Project(CYB240070)
LI Song,LIU Meng,LI Ziqiao.Prediction of unorganized ventilation induced by piston effect in subway stations based on parametric CFD and deep learning model[J].Journal of Civil and Environmental Engineering,
LI Song,LIU Meng,LI Ziqiao.Prediction of unorganized ventilation induced by piston effect in subway stations based on parametric CFD and deep learning model[J].Journal of Civil and Environmental Engineering,DOI:10.11835/j.issn.2096-6717.2026.036.