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A method to improve the determination of ignition probability in buildings based on Bayesian network

  • Published:2021-08-12 Issue: Volume: Page:
  • ISSN:0308-0501
  • Container-title:Fire and Materials
  • language:en
  • Short-container-title:Fire and Materials

Author:

Hu Jun12,Shu Xueming12ORCID,Shen Shifei12,Yan Jun3,Tian Fengshi12,He Sheng12,Ni Xiaoyong124

Affiliation:

1. Department of Engineering Physics, Institute of Public Safety Research Tsinghua University Beijing China

2. Beijing Key Laboratory of City Integrated Emergency Response Science Tsinghua University Beijing China

3. China Institute of Industrial Relations Institute of Safety Engineering Beijing China

4. School of National Security and Emergency Management Beijing Normal University Zhuhai China

Publisher

Wiley

Subject

Metals and Alloys,Polymers and Plastics,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference25 articles.

1. A critical evaluation of BS PD 7974‐7 structural fire response data based on USA fire statistics;Manes M;Fire Technol,2018

2. The ignition frequency of structural fires in Finland 1996–1999;Tillander K;Fire Saf Sci,2003

3. A simple prediction method of compartment fire behavior;Ken M;J Struct Constr Eng,1995

4. Frequency of ignition of non‐residential buildings in Japan;Kobayashi Y;Fire Saf J,2017

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