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Fire modelling framework for investigating tall building fire: A case study of the Plasco Building

Authors :
Aatif Ali Khan
Mustesin Ali Khan
Ramakanth Veera Venkata Domada
Xinyan Huang
Asif Usmani
Saeed Bakhtiyari
Masoud Jamali Ashtiani
Sadegh Garivani
Ali Akbar Aghakouchak
Source :
Case Studies in Thermal Engineering, Vol 45, Iss , Pp 103018- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Fire can damage structures severely and even cause the building collapse. Structural and fire engineers must carry out a comprehensive forensic investigation of major structural failures in the same rigorous and meticulous manner the airline industry investigates air crashes. The forensic assessment should identify the cause, fire spread scenario, fire behaviour patterns from its growth to decay, de-compartmentation, the performance of fire protection systems, and firefighting management. Using the available tools and data, the current paper proposes a methodology to reconstruct the fire for the forensic assessment of tall buildings. This is done by first organising observed data into a coherent timeline and presenting the actual fire spread obtained from the visual evidence. The total fire spread within the building is estimated based on fire dynamics principles and observed fire scenes that can be verified with a calibrated CFD model. The collapse of the Plasco Building is assessed by employing the proposed framework. The rise in construction of the tall buildings increases the risk of the occupants’ safety from the fire induced structural failure or collapse. The framework presented in this paper can guide engineers to improve the building resilience designs and reduce the fire accidents related risks.

Details

Language :
English
ISSN :
2214157X
Volume :
45
Issue :
103018-
Database :
Directory of Open Access Journals
Journal :
Case Studies in Thermal Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.3f1b9f9928aa4fdfa6d6852508dccd9f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csite.2023.103018