Risk assessment of thermal damage in the event of emergency burning

The task of assessing the risk of thermal damage to people in case of fire is considered. We consider a fire in the railway transport. The task is to determine the temperature fields in a fire and predict the risk of thermal damage to people based on this information. The purpose of the article. Development of a numerical model for assessing the risk of thermal damage to people. Methodology. To simulate the process of thermal pollution of atmospheric air, a two-dimensional energy equation is used. The air velocity field is calculated on the basis of a hydrodynamic model of irrotational flows of an ideal fluid. For the numerical integration of this equation, the Richardson method is used. For the numerical integration of the energy equation, this equation is split into two differential equations. The first equation describes the distribution of temperature due to the movement of air masses. The second equation describes the distribution of temperature due to thermal conductivity. For the numerical integration of the first equation, an implicit difference splitting scheme is used. For numerical integration of the second equation, the Richardson method is used. Scientific novelty. An effective numerical model has been developed that allows the method of computational experiment to determine the risk of thermal injury to people in the event of a fire in the transport corridor. The model is based on the numerical integration of the fundamental equations of hydroaerodynamics and heat and mass transfer. The model allows to take into account the deformation of temperature fields in the air due to the influence of various obstacles. Practical significance. The developed model allows to predict the dynamics of changes in temperature fields in the air that occur during a fire. The model can be used for serial calculations to determine areas of risk of thermal injury to humans. Conclusions. The code for carrying out computational experiment on the basis of the developed numerical models is created. The developed code allows you to quickly, on medium-power computers, calculate the temperature fields generated by a fire. Based on this information, the risk of thermal damage is predicted. The results of a computational experiment are presented.