@article{ref1,
title="A probabilistic model for fire temperature rise in high-rise residential buildings under the action of uncertain factors",
journal="Fire (Basel, Switzerland)",
year="2023",
author="Yin, Jiyao and Tang, Tianyao and Zhang, Guowei and Zhou, Lin and Deng, Peng",
volume="6",
number="4",
pages="e147-e147",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="2571-6255",
doi="10.3390/fire6040147",
url="http://dx.doi.org/10.3390/fire6040147"
}