A Probabilistic Model for Fire Temperature Rise in High-Rise Residential Buildings under the Action of Uncertain Factors

被引:0
|
作者
Yin, Jiyao [1 ]
Tang, Tianyao [2 ]
Zhang, Guowei [2 ]
Zhou, Lin [1 ]
Deng, Peng [1 ]
机构
[1] Shenzhen Technol Inst Urban Publ Safety, Shenzhen 518046, Peoples R China
[2] China Univ Min & Technol, Sch Safety Engn, Xuzhou 221116, Peoples R China
来源
FIRE-SWITZERLAND | 2023年 / 6卷 / 04期
关键词
high-rise residential building; fire; randomness; Latin Hypercube Sampling; probability distribution; temperature rise law; TESTS;
D O I
10.3390/fire6040147
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Due to the randomness of interior combustibles, wall thermal inertia, and opening factor, the fire temperature rise in high-rise residential buildings is uncertain. This study investigated 38 urban high-rise residential buildings, created the probability density functions of fire load density, opening factor, and wall thermal inertia, and constructed random fire scenarios for urban high-rise residential buildings. On this basis, relying on the Latin Hypercube Sampling method, this study further explored the probabilistic model for fire temperature rise in urban high-rise residential buildings under the action of uncertain factors, generated the possible temperature rise curves of fires in urban high-rise residential buildings and their probability distribution, and established the most representative temperature rise curve.
引用
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页数:14
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