Mohsen M. Barsim, M. Bassily, H. El-Batsh, Yaser A. Rihan, M. M. Sherif
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Froude scaling modeling in an Atrium Fire equipped with natural and transient forced ventilation
Abstract In this paper, the capability of Froude scaling modeling to replicate the fire dynamics in full-scale Murcia Atrium Fires tests equipped with natural and transient forced ventilation was investigated experimentally and numerically by using a 2:27 physical Scale Down Model (SDM) of the full-scale Atrium and CFX-Ansys16.2, respectively. Five SDM experiments were conducted using different heptane fire capacities located at the center of the floor. Two different turbulence models were used for simulation i.e. Shear Stress Transport and k − ε. Experimental results of the SDM and full-scale atrium fire tests were compared with those predicted for SDM through the preservation of the Froude number to cover the gap in experimental facts and scientific understanding. This study focused primarily on the transient temperatures at near and far fire fields and the descending smoke layer. The predicted velocity and visibility were assessed. This study demonstrated that Froude scaling modelling is acceptable from a threshold of greater than 50% of the full-scale.
期刊介绍:
This is a peer reviewed journal aimed at providing the latest information on research and application.
Topics include:
• New ideas concerned with the development or application of ventilation;
• Validated case studies demonstrating the performance of ventilation strategies;
• Information on needs and solutions for specific building types including: offices, dwellings, schools, hospitals, parking garages, urban buildings and recreational buildings etc;
• Developments in numerical methods;
• Measurement techniques;
• Related issues in which the impact of ventilation plays an important role (e.g. the interaction of ventilation with air quality, health and comfort);
• Energy issues related to ventilation (e.g. low energy systems, ventilation heating and cooling loss);
• Driving forces (weather data, fan performance etc).