Performance-based firefighting in dense historic settlements: An exploration of a firefighting approach combining value and risk assessment with numerical simulation  

在线阅读下载全文

作  者:Xinjian Li Runqi Qin 

机构地区:[1]School of Architecture,Southeast University,Nanjing 210096,China [2]Key Laboratory of Urban and Architectural Heritage Conservation(Southeast University),Ministry of Education,China

出  处:《Frontiers of Architectural Research》2022年第6期1134-1150,共17页建筑学研究前沿(英文版)

基  金:This research was supported by the Ministry of Science and Technology of China under Grant No.2019YFD1100904 and No.2020YFC1522304;the National Natural Science Foundation of China(NSFC,No.52178010).

摘  要:In view of the fire problems left in dense historical settlements in China,such as fire hazards that are prone to fires,difficulties in fighting fires,and the incomplete applicability of current fire codes due to the high historical value of buildings,this paper proposes a scientific and systematic performance-based fire protection method that gives priority to value preservation.This method is applied to dense historical settlements,and the effectiveness of this method is verified by evaluating the results of fire protection planning and renovation through multiple rounds of computer numerical simulation.The results show that in a connected cluster of buildings,one of the fire retrofitting requirements in the horizontal or vertical direction needs to be met between two adjacent buildings to ensure that the fire does not spread,and the retrofitting direction has to be selected based on the value and risk assessment results.When dense historical clusters are renovated for fire prevention planning,the optimal renovation path to meet fire safety can be effectively selected based on the method proposed in this paper.

关 键 词:Performance-based firefighting Numerical simulation Building value assessment Fire risk assessment Dense historical settlement Fire retrofitting 

分 类 号:TU998.1[建筑科学—市政工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象