Abstract: When showing the compliance of aircraft cargo compartment smoke detection, in order to reduce the risk of flight test, simulated smoke generated by smoke generator is often used to take place of actual fire smoke in flight test. However, previous study showed an obvious difference between actual fire smoke and simulated smoke of smoke generator in terms of response time to smoke detector, which must be solved by adjusting the boundary condition of smoke generator. However, conventional research tried to find the target boundary condition to achieve the equivalence between actual and simulated smoke was based on trial and error method, which is time consuming. In this study, based on the inverse design method, numerical model of actual fire smoke and simulated smoke from smoke generator were built in FDS respectively, with the FDS integrated in Isight platform, the objective func-tion reflecting the equivalence between two kinds of smoke was built, multi-islands genetic algorithm was used to calculate the boundary condition of smoke generator inversely one-time to achieve the equivalence between two kinds of smoke. The simulation result was validated experimentally and showed that the boundary condition of smoke generator which is calculated inversely can fulfill the equivalence between actual fire smoke and simulated smoke from smoke generator, the conclusion can provide guidance to compliance of aircraft cargo compartment smoke detection directly.

Key words: aircraft cargo compartment, inverse design, actual fire smoke, smoke generator, simulated smoke, Isight