主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2021, Vol. 40 ›› Issue (6): 827-830.

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Artificial intelligence based facade spilled flame temperature field prediction

JIANG Ya-qiang1, WANG Zi-long2, HUANG Xin-yan2   

  1. 1. Sichuan Fire Science and Technology Research Institute of MEM, Sichuan Chengdu 610036, China; 2. Department of Building Services Engineering, Hong Kong Polytechnic University, Hong Kong 999077, China
  • Online:2021-06-15 Published:2021-06-15

Abstract: In order to clarify the influence of facade wing walls on spilled flame, an experimental study on the spilled flame under different facade wing wall conditions was conducted and the real- time prediction of the fire temperature field of the facade was predicted. The facade fire prediction database was constructed through facade fire experiments under different wingwall spacing and depth conditions, and applied to the training and validation of convolutional neural network (CNN), so as to establish a real-time prediction model for the flame temperature of spilled flame under different facade wing- wall conditions, and provide support for the design of facade construction forms and facade fire protection.

Key words: spilled flame, facade, temperature field, CNN