Abstract: The temperature rise model for high—rise residential buildings is of great significance for building fire protection design, risk assessment, and fire rescue. 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, gave 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.

Key words: high—rise residential building, fire, randomness, probability distribution, temperature rise law