Abstract: In verification of the airworthiness compliance of aircraft cargo compartment smoke detection, simulated smoke generated by smoke generators is often used instead of actual fire smoke in flight tests to reduce the risk. However, previous studies show an obvious difference between actual fire smoke and simulated smoke in terms of response time of smoke detectors, and that the equivalence between actual and simulated smoke must be realized by adjusting the boundary conditions of the smoke generator. Conventional research tried to find the target boundary conditions based on the trial and error method, which is time consuming. In this study, numerical models of actual fire smoke and simulated smoke from the smoke generator were built in Fire Dynamic Simulator (FDS) respectively based on the inverse design method, with the FDS integrated in the Isight platform. The objective function reflecting the equivalence between two kinds of smoke was built, and the Multi-Islands Genetic Algorithm (MIGA) adopted for one-time inverse calculation of the boundary conditions of the smoke generator to achieve the equivalence between two kinds of smoke. The simulation result was experimentally validated and showed that the boundary conditions of the smoke generator calculated inversely can fulfill the equivalence between actual fire smoke and simulated smoke from the smoke generator, thereby providing direct guidance to the compliance of aircraft cargo compartment smoke detection.

Key words: aircraft cargo compartments, inverse design, actual fire smoke, smoke generators, simulated smoke, Isight platform