3 research outputs found

    EXPERIMENTAL AND NUMERICAL INVESTIGATION OF TEMPERATURE CHANGE DURING TUNNEL FIRES ON A MODEL

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    Fire incidents occur in the tunnels of various countries of the world. Depending on the tunnel geometry, traffic structure, and fire defense equipment, a large fire may cause people to die and cause damage to the tunnel structure. Threshold values for heat and toxic gas emissions that people would be exposed to a fire are defined in standards. To examine the change of the heat flux values that are defined in the standards with the heat release rate of the fire and the viability of the tenable environment during an evacuation in a tunnel fire, a model was created by reducing the dimensions of a tunnel by 1/12. Experimental studies and numerical studies carried out with the model in order to determine the instant that evacuation operation will start to impede and hazardous conditions dominate the fire scene and it is observed that results of both studies are in harmony

    A multidisciplinary analysis of the fire propagation in the aspiration system of a building

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    This paper aims to investigate the potential causes of a fire event that occurred in a fabric finishing facility with washing and drying units. The research methodology employed includes fieldwork, laboratory tests, and numerical analysis to identify potential factors contributing to the fire event. In the first stage, a field study was carried out and investigations were made at the fire site. In the second stage of the study, samples were taken from the fire site and chemical analyses were conducted in a laboratory. In the third stage, computational fluid dynamics (CFD) analyses were performed based on different hypotheses to simulate the fire event. These numerical analyses were conducted using the Fire Dynamics Simulator (FDS) program, an open-source field model developed by the National Institute of Standards and Technology (NIST) of USA. This program has been widely used by researchers in many institutes around the world to simulate different scenarios related to fire phenomena. The data collected in these stages were analyzed to identify the root causes of the fire incident. The multidisciplinary approach presented in this study is expected to make a significant contribution to the literature for determining the causes of similar fire events and strategies for fire prevention
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