Predicting toxic species generation resulting from external cladding fires

A CFD method to predict the generation of toxic gases produced by burning external cladding is presented. The model and its assumption have been validated using BS 8414 experimental data for two cladding systems with different aluminium composite materials (ACM). The predicted temperatures are in good agreement with the measured data and the predicted toxic gas concentrations follow the measured trends. The model is then used to assess tenability conditions in a target flat and the lobby five floors above the fire origin, in which toxic smoke penetrates the flat via a half-open kitchen window. Only the impact of cladding materials is considered. Simulations indicate that if the target flat occupants commence their evacuation shortly after alarm activation, they are likely to be able to pass through the lobby and safely evacuate. However, if they delay their evacuation by 21 minutes, they are likely to become incapacitated due to inhalation of toxic gases. The PIR contribution to the fractional incapacitating dose (FIN) is approximately half that from ACM PE in the target flat and varies from a third to a half in the target lobby. Furthermore, the HCN contribution to the FIN is minor (less than 5%). • A method to calculate toxic gas generation from cladding fires is proposed • The model and its assumptions have been validated using BS 8414 experimental data • A high-rise cladding fire with ACM PE and PIR and an open window is simulated • Occupants 5 floors above fire origin with open windows are incapacitated in 21 min • The PIR contribution to the fractional incapacitating dose is half that of ACM PE

Authors

Institutions

Publication Details

Journal
Fire Safety Journal
Published
2026-03-04
DOI
https://doi.org/10.1016/j.firesaf.2026.104693
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting toxic species generation resulting from external cladding fires

Zhaozhi Wang, Edwin R. Galea, Fuchen Jia, John Ewer
Fire Safety Journal
Fire effects on ecosystems
article

Predicting toxic species generation resulting from external cladding fires

Zhaozhi Wang, Edwin R. Galea, Fuchen Jia, John Ewer
article en

Abstract

A CFD method to predict the generation of toxic gases produced by burning external cladding is presented. The model and its assumption have been validated using BS 8414 experimental data for two cladding systems with different aluminium composite materials (ACM). The predicted temperatures are in good agreement with the measured data and the predicted toxic gas concentrations follow the measured trends. The model is then used to assess tenability conditions in a target flat and the lobby five floors above the fire origin, in which toxic smoke penetrates the flat via a half-open kitchen window. Only the impact of cladding materials is considered. Simulations indicate that if the target flat occupants commence their evacuation shortly after alarm activation, they are likely to be able to pass through the lobby and safely evacuate. However, if they delay their evacuation by 21 minutes, they are likely to become incapacitated due to inhalation of toxic gases. The PIR contribution to the fractional incapacitating dose (FIN) is approximately half that from ACM PE in the target flat and varies from a third to a half in the target lobby. Furthermore, the HCN contribution to the FIN is minor (less than 5%). • A method to calculate toxic gas generation from cladding fires is proposed • The model and its assumptions have been validated using BS 8414 experimental data • A high-rise cladding fire with ACM PE and PIR and an open window is simulated • Occupants 5 floors above fire origin with open windows are incapacitated in 21 min • The PIR contribution to the fractional incapacitating dose is half that of ACM PE

Fire Safety JournalVol. 162
University of Greenwich (GB)
Openalex Percentile: Top 47%
Fire effects on ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting toxic species generation resulting from external cladding fires — Zhaozhi Wang, Edwin R. Galea, et al. · Fire Safety Journal (2026) | TGRS Research Map | TGRS