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.
张健, 宋志刚, 张雨. 基于节点重要性的建筑群火灾蔓延高危建筑的确定方法[J]. 复杂系统与复杂性科学, 2022, 19(3): 66-73.
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. Complex Systems and Complexity Science, 2022, 19(3): 66-73.
[1] 高楠,邬超,白凯,等.中国传统村落空间分异及影响因素[J].陕西师范大学学报(自然科学版), 2020,48(4):97-107. GAO N, WU C, BAI K, et al. Spatial differentiation and influencing factors of Chinese traditional villages [J]. Journal of Shaanxi Normal University(Natural Science Edition),2020,48(4):97-107. [2] 保野健治郎,高井広行,难波义郎.ロジスティック曲線による建物火災の延焼速度式に関する基礎的研究[J]. 日本建筑学会论文报告集, 1982,311:137-144. YASUNO K, TAKAI H, NAMBA Y. A basic study on fire spread formula of houses used by logistic curve[J].Transactions of the Architectural Institute of Japan,1982,311:137-144. [3] 黄维章,张锁春,雷光耀等. 城市火灾蔓延的数学模型和计算机模拟[J]. 计算物理,1993,10(1): 9-19. HUANG W Z, ZHANG S C, LEI G Y, et al. A mathematical model of an urban fire-spread and computer simulation [J]. Chinese Journal of Computational Physics, 1993,10(1): 9-19. [4] NISHINO T, TANAKA T, HUKUGO A. An evaluation method for the urban post-earthquake fire risk considering multiple scenarios of fire spread and evacuation [J]. Fire Safety Journal, 2012,54 (1): 167-180. [5] OHGAI A, GOHNAI Y, WATANABE K. Cellular automata modeling of fire spread in built-up areas—a tool to aid community-based planning for disaster mitigation[J]. Computers Environment and Urban Systems, 2007, 31(4):441-460. [6] 孟晓静,杨立中,李健. 基于元胞自动机的城市区域火蔓延概率模型探讨[J]. 中国安全科学学报, 2008,18(2):28-33. MENG X J, YANG L Z, LI J. Probability model of urban district fire spread based on cellular automata [J]. China Safety Science Journal , 2008,18(2):28-33. [7] 柳春光,王碧君,潘建伟. 基于元胞自动机的城市地震次生火灾蔓延模型[J]. 自然灾害学报,2010, 19(2):152-157. LIU C G, WANG B J, Pan J W. Urban post-earthquake fire spread model based on cellular automata [J]. Journal of Natural Disasters, 2010, 19(2):152-157. [8] HIMOTO K, TAKARA T. Development and validation of a physics-based urban fire spread model [J]. Fire Safety Journal, 2008, 43(7): 477-494. [9] ZHAO S J, XIONG L Y, REN A Z. A spatial-temporal stochastic simulation of fire, outbreaks following earthquake base on GIS [J]. Journal of Fire Science, 2006, 24(4): 313-339. [10] 赵思健,任爱珠,熊利亚.城市地震次生火灾研究综述[J].自然灾害学报,2006, 15(2):57-67. ZHAO S J, Ren A Z, XIONG L Y. Review of studies on urban post-earthquake fires [J]. Journal of Natural Disasters, 2006, 15(2):57-67. [11] REN A Z, XIE X Y. The simulation of post-earthquake fire-prone area based on GIS [J]. Fire technology, 2011, 47(3):721-749. [12] 曾翔,杨哲飚,许镇,等.村镇建筑群火灾蔓延模拟与案例[J].清华大学学报(自然科学版),2017,57(12):1331-1337. ZENG X, YANG Z B, XU Z, et al. Fire spread simulations of building groups in rural areas [J]. Journal of Tsinghua University (Science and Technology), 2017, 57(12):1331-1337. [13] 张健, 宋志刚,李全旺,等. 木结构建筑群火灾蔓延危险建筑的识别及防火改造效果评价[J].工程力学,2020,37(4): 60-69. ZHANG J, SONG Z G, LI Q W, et al. Identification and fire protection evaluation of critical buildings to prevent fire spread in densely built wood building areas [J]. Engineering Mechanics, 2020, 37(4): 60-69. [14] 郭世泽,陆哲明.复杂网络基础理论[M].北京:科学出版社,2012. [15] 任晓龙, 吕琳媛. 网络重要节点排序方法综述[J]. 科学通报, 2014, 59(13): 1175-1197. REN X L, LÜ L Y. Review of ranking nodes in complex networks[J]. Chin Sci Bull, 2014, 59(13): 1175-1197. [16] BONACICH P. Factoring and weighting approaches to status scores and clique identification[J]. The Journal of Mathematical Sociology, 1972, 2(1): 113-120. [17] CHEN D B, LÜ L, SHANG M S, et al. Identifying influential nodes in complex networks[J]. Physical A-Statistical Mechanics and Its Applications, 2012, 391(4): 1777-1787. [18] CHEN D B, GAO H, LÜ L, et al. Identifying influential nodes in large-scale directed networks: the role of clustering[J]. PLoS One, 2013, 8(10):77455. [19] FREEMAN L C. Centrality in social networks conceptual clarification[J]. Social Networks, 1979, 1(3): 215-239. [20] LATORA V, MARCHIORI M. Efficient behavior of small-world networks[J]. Physical Review Letters, 2001, 87(19): 198701. [21] FREEMAN L C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1): 35-41. [22] 范维澄,孙金华,陆守香,等.火灾风险评估方法学[M].北京:科学出版社,2004. [23] 李鹏翔,任玉晴,席酉民. 网络节点(集)重要性的一种度量指标[J].系统工程,2004,22(4):13-20 LI P X, REN Y Q, XI Y M. An importance measure of actors (set) within a network[J]. Systems Engineering, 2004, 22(4):13-20.