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A cost‐effective building fire smoke spread prediction approach for risk mitigation based on data assimilation using Ensemble Kalman Filter

Author(s): ORCID (State Key Laboratory of Fire Science University of Science and Technology of China Hefei China)
(State Key Laboratory of Fire Science University of Science and Technology of China Hefei China)
(State Key Laboratory of Fire Science University of Science and Technology of China Hefei China)
(Department of Building, Civil and Environmental Engineering Concordia University Montreal Quebec Canada)
ORCID (Department of Building, Civil and Environmental Engineering Concordia University Montreal Quebec Canada)
Medium: journal article
Language(s): English
Published in: Fire and Materials, , n. 7, v. 46
Page(s): 1045-1060
DOI: 10.1002/fam.3052
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/fam.3052.
  • About this
    data sheet
  • Reference-ID
    10673270
  • Published on:
    29/05/2022
  • Last updated on:
    10/12/2022
 
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