Real-Time Egress Model for Multiplex Buildings under Fire Based on Artificial Neural Network

Real-Time Egress Model for Multiplex Buildings under Fire Based on Artificial Neural Network

When fire occurs in a large multiplex building, the direction of smoke and flames is often similar to that of the evacuation of building occupants. This causes evacuation bottlenecks in a specific compartment, especially when the occupant density is very high, which unfortunately often leads to many...

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Bibliographic Details
Main Authors: Khaliunaa Darkhanbat, Inwook Heo, Sun-Jin Han, Hae-Chang Cho, Kang Su Kim
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
multiplex building
fire
egress model
artificial neural network (ANN)
available safe egress time (ASET)
Online Access:https://www.mdpi.com/2076-3417/11/14/6337

Internet

https://www.mdpi.com/2076-3417/11/14/6337

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