华中科技大学主页平台管理系统何逸--中文主页-- He Y., Chu Y. N., Zang H. Y., & Song Y. H.*. (2022). Experimental and CFD study of ventilation performance enhanced by roof window and mechanical ventilation system with different design strategies. Building and Environment, Volume 224, 2022, 109566, ISSN 0360-1323, DOI: https://doi.org/10.1016/j.buildenv.2022.109566. (IF 7.093)

English| 电脑版

华中科技大学

何逸

同专业博导同专业硕导

论文成果

He Y., Chu Y. N., Zang H. Y., & Song Y. H.*. (2022). Experimental and CFD study of ventilation performance enhanced by roof window and mechanical ventilation system with different design strategies. Building and Environment, Volume 224, 2022, 109566, ISSN 0360-1323, DOI: https://doi.org/10.1016/j.buildenv.2022.109566. (IF 7.093)

发布时间：2024-02-28 点击次数：

上一条：He Y., Liu X. H., Zhang H. L., Zheng W., Zhao F. Y.*, Schnabel M. A., & Mei Y.. (2021). Hybrid Framework for Rapid Evaluation of Wind Environment around Buildings through Parametric Design, CFD Simulation, Image Processing and Machine Learning. Sustainable Cities and Society, Volume 73, 2021, 103092, ISSN 2210-6707, DOI: https://doi.org/10.1016/j.scs.2021.103092. (IF 10.696)

下一条：He Y., Kou F. C., Wang X., Zhu N., Song Y. H.*, Chu Y. N., Shi S. H., Liu M. J., & Chen X. X.. (2022). Hybrid model combining multivariate regression and machine learning for the rapid prediction of interior temperatures affected by thermal diodes and solar cavities, Building and Environment, Volume 211, 2022, 108723, ISSN 0360-1323, DOI: https://doi.org/10.1016/j.buildenv.2021.108723. (IF 7.093)