최적화기법을 이용한 철도차량 바닥재의 화염 열유속 및 방사율 예측

초록

Surface temperatures, ignition times and mass loss rates of the synthetic rubber for railway vehicle flooring are measured for different external heat fluxes by the cone calorimeter. The flame heat flux on the surface can reach the better value by applying the repulsive particle swarm optimization algorithm. During optimization process the critical heat flux and ignition temperature are calculated using measured results. Finally we estimated the optimized flame heat flux. The calculated surface temperatures obtained by using optimized flame heat flux on the surface in this study are matched well with those from the test. The suggested process of determining flame heat flux proposed might be a very useful engineering method for ensuring the validity of a fire simulation for railway vehicles.