Case Study Analysis of Database Construction for Smoke Control Simulation Experiments Using Scale Model

Abstract

Most studies on fire properties, including smoke control, have been based on simulations. However, the results of simulation experiments have an average error rate of approximately 36.7%, and data with low reliability are obtained, compared to theoretical values and actual-scale measurements. In addition, experimental studies using scale models exhibit an average error rate of 6.9%, significantly lower than those of simulation experiments. In this study, a method for decreasing the error rate of simulation experiments was investigated by constructing a database using scale-model smoke control experiments.