Grant: Discovery Grants Program - Individual
Carleton University
$64,000.00
Fire safety of subway cars and underground subway stations
EF 2023-24
Résumé
The proposed research deals with fire safety in subway cars and underground subway stations and tunnels and large spaces in buildings. It continues the research program of the applicant in these areas and capitalizes on the knowledge and data gathered over the last few years from full-scale fire experiments performed by the applicant. The proposed work focuses mostly on the improvement and use of Computational Fluid Dynamics (CFD) models for modelling fires in subway cars, and underground subway stations to determine their impact on passengers and the structure. Small-scale experiments using laboratory equipment, such as the cone calorimeter, will be conducted to determine the fire properties of materials used in subway cars, which will be used as inputs to the CFD models. Comparisons will be made between the numerical predictions and experimental data already obtained by the applicant to determine whether the models can predict the fire characteristics during the different stages of fire development and the heat release rate of fires in traincars and subway stations, as well as smoke movement in the stations and tunnels and the effectiveness of the ventilation systems. Occupant evacuation from the stations will also be considered using both simple egress calculations and evacuation models to determine the impact of fires on passengers and evaluate the effectiveness of the available egress routes and evacuation strategies. The results of this research would be of importance for the design of ventilation systems in tunnels and subway stations and the tools developed can be used by fire departments to assist them in pre-planning their response to fires in these spaces. Another part of the proposed research deals with smoke management systems in large spaces, such as atria, found in buildings. This work continues the research of the applicant in this area in which full-scale experiments were conducted to study the impact of make-up air velocity on the effectiveness of the smoke exhaust systems and to validate CFD models used to model fires in these spaces. This work will use the validated CFD models to study in detail the parameters that influence the conditions in the atria and investigate the extend of applicability of the correlations developed by the applicant. These correlations will be submitted to standard writing bodies to be considered for inclusion in the standards so they can be used by engineers for the design of the smoke management systems in atria.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2019-06258
Name nom
Hadjisophocleous, George
Department département
Civil and Environmental Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
64000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
603
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Construction methods
Area of application fr
Méthodes de construction
Research subject code
2203
Research subject group en
Fluid mechanics
Research subject group fr
Modelling, simulation
Research subject en
Mécanique des fluides
Research subject fr
Modélisation et simulation
Application title
Fire safety of subway cars and underground subway stations
Keyword
Fire modelling; Fire safety; Heat release rate; Life safety; Smoke movement
Application summary
The proposed research deals with fire safety in subway cars and underground subway stations and tunnels and large spaces in buildings. It continues the research program of the applicant in these areas and capitalizes on the knowledge and data gathered over the last few years from full-scale fire experiments performed by the applicant. The proposed work focuses mostly on the improvement and use of Computational Fluid Dynamics (CFD) models for modelling fires in subway cars, and underground subway stations to determine their impact on passengers and the structure. Small-scale experiments using laboratory equipment, such as the cone calorimeter, will be conducted to determine the fire properties of materials used in subway cars, which will be used as inputs to the CFD models. Comparisons will be made between the numerical predictions and experimental data already obtained by the applicant to determine whether the models can predict the fire characteristics during the different stages of fire development and the heat release rate of fires in traincars and subway stations, as well as smoke movement in the stations and tunnels and the effectiveness of the ventilation systems. Occupant evacuation from the stations will also be considered using both simple egress calculations and evacuation models to determine the impact of fires on passengers and evaluate the effectiveness of the available egress routes and evacuation strategies. The results of this research would be of importance for the design of ventilation systems in tunnels and subway stations and the tools developed can be used by fire departments to assist them in pre-planning their response to fires in these spaces. Another part of the proposed research deals with smoke management systems in large spaces, such as atria, found in buildings. This work continues the research of the applicant in this area in which full-scale experiments were conducted to study the impact of make-up air velocity on the effectiveness of the smoke exhaust systems and to validate CFD models used to model fires in these spaces. This work will use the validated CFD models to study in detail the parameters that influence the conditions in the atria and investigate the extend of applicability of the correlations developed by the applicant. These correlations will be submitted to standard writing bodies to be considered for inclusion in the standards so they can be used by engineers for the design of the smoke management systems in atria.