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Complex Systems and Complexity Science  2022, Vol. 19 Issue (3): 66-73    DOI: 10.13306/j.1672-3813.2022.03.008
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Method of Determining High-risk Buildings for Fire Spread in Densely Built Building Areas Based on Importance of Network Nodes
ZHANG Jian, SONG Zhigang, ZHANG Yu
Faculty of Civil Engineering and mechanics, Kunming University of Science and Technology, Kunming 650500, China
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Abstract  It is important to obtain low intervention fire prevention and control strategy in dense building areas by detecting the key building that dominate the extent of fire spread. First, established the spread directed graph model based on the multi-scenario building group fire spread simulation results. Then,the complex network method was introduced to study the appropriate sorting method of important nodes. Furthermore, a search algorithm for the reconstruction sequence of important nodes is proposed, and the number of retrofit nodes is determined with fire loss expectation as the evaluation index. Finally, the above method is applied study the issues of fire spread prevention and control in wooden village buildings. The results show that the critical buildings and their fire protection priorities can be accurately determined by the method of this paper,but their effects are different. The risk of fire spread can be significantly reduced through improving the fire protection levels of a relatively small number of buildings.
Key wordsfire spread      directed graph      complex network      important node      node ordering      fire protection     
Received: 15 March 2021      Published: 12 October 2022
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ZHANG Jian
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Cite this article:   
ZHANG Jian,SONG Zhigang,ZHANG Yu. Method of Determining High-risk Buildings for Fire Spread in Densely Built Building Areas Based on Importance of Network Nodes[J]. Complex Systems and Complexity Science, 2022, 19(3): 66-73.
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https://fzkx.qdu.edu.cn/EN/10.13306/j.1672-3813.2022.03.008     OR     https://fzkx.qdu.edu.cn/EN/Y2022/V19/I3/66