TY - JOUR
T1 - Fire modelling framework for investigating tall building fire
T2 - A case study of the Plasco Building
AU - Khan, Aatif Ali
AU - Khan, Mustesin Ali
AU - Domada, Ramakanth Veera Venkata
AU - Huang, Xinyan
AU - Usmani, Asif
AU - Bakhtiyari, Saeed
AU - Ashtiani, Masoud Jamali
AU - Garivani, Sadegh
AU - Aghakouchak, Ali Akbar
N1 - Funding Information:
This research is funded by the RGC Hong Kong GRF Scheme (No. 15220618 ) and the Hong Kong Research Grants Council Theme-based Research Scheme ( T22-505/19-N ). The authors would like to thank Dr. Pourya Pourhejazy (National Taipei University of Technology) for his help in translating the reports and firefighters' interviews.
Funding Information:
This research is funded by the RGC Hong Kong GRF Scheme (No. 15220618) and the Hong Kong Research Grants Council Theme-based Research Scheme (T22-505/19-N). The authors would like to thank Dr. Pourya Pourhejazy (National Taipei University of Technology) for his help in translating the reports and firefighters' interviews.
Publisher Copyright:
© 2023 The Authors
PY - 2023/5
Y1 - 2023/5
N2 - 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.
AB - 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.
KW - Building collapse
KW - Fire investigation
KW - Fire safety
KW - Forensic
KW - Life safety
KW - Structural engineering
UR - http://www.scopus.com/inward/record.url?scp=85153686432&partnerID=8YFLogxK
U2 - 10.1016/j.csite.2023.103018
DO - 10.1016/j.csite.2023.103018
M3 - Journal article
AN - SCOPUS:85153686432
SN - 2214-157X
VL - 45
JO - Case Studies in Thermal Engineering
JF - Case Studies in Thermal Engineering
M1 - 103018
ER -