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A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments

  • Published:2020-05 Issue: Volume:363 Page:112907
  • ISSN:0045-7825
  • Container-title:Computer Methods in Applied Mechanics and Engineering
  • language:en
  • Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zohdi T.I.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference71 articles.

1. Fire loss in the United States during 2017. National Fire Protection Association, Fire Analysis and Research Division;B.,2018

2. Fire loss in the United States during 2013. National Fire Protection Association, Fire Analysis and Research Division;Karter,2014

3. T.I. Zohdi, UC Berkeley Fire Research Group, https://frg.berkeley.edu/.

4. Research roadmap for smart fire fighting. nist special publication 1191;Grant,2015

5. The future of artificial intelligence in firefighting. fire engineering;McKinzie,2018

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