Optimum Design for Smoke Control System in Buildings Considering Robustness Using CFD and Genetic Algorithms

摘要：

Fire inevitably involves many uncertainties,such as the site of the fire source,whether or not a window is open,erroneous operation of prevention systems,and so on,which increases the risk leading to a large disaster.In this research,the optimum design method considering the robustness of smoke control systems in buildings is developed using an approach that couples Computational Fluid Dynamics (CFD) with Genetic Algorithms (GA).The general optimum design and robust design for a vestibule pressurization smoke control system in an office is conducted.As a result,although the airflow rate through the doorway of the vestibule,intended to ensure that smoke does not escape into the vestibule during evacuation,is a little lower than the general optimum design,the safety performance of the system is more stable in the robust case.The optimum design method proved to be useful not only in terms of the fireprevention system design,but also for designs to prevent the dispersion of hazardous materials and infectious viruses,and so on.

关键词： Smoke control system Robust design Genetic algorithms CFD Building design

作者: Hong Huang Ryozo Ooka Hong Chen Shinsuke Kato

作者单位: Institute of Industrial Science,The University of Tokyo,Japan School of Architecture and Urban Planning,Huazhong University of Science & Technology,Wuhan,China

会议类型: 国际会议

会议名称: The First International Conference on Building Energy and Environment(第一届建筑能源与环境国际会议)

会议地点: 大连

会议语种:英文

页码: 2017-2024

在线出版日期: 2008-07-01（万方平台首次上网日期，不代表论文的发表时间）