Robust Design Optimisation by mode FRONTIER

This presentation deals with industrial applications, in aeronautic and turbomachinery fields, of multi-objective and robust design optimisation, through the utilisation of the multi-objective optimisation and design environment modeFrontier. This code allows the easy process integration of any CAD/CAE commercial tool, and drives the designer in a fully automatic optimisation of the objectives he has defined in his model. A particular relief is given in this presentation in the application of the Game Theory algorithm implemented in modeFrontier, MOGT, that allow to reach an optimal compromise solution between the contrasting objectives in the fewest time as possible. To reduce the number of simulations required is in fact particularly important in the design under uncertainties, or so called Robust Design Optimisation, since this typology of optimisation, that is becoming predominant in aeronautic design, usually requires an higher number of simulations than the simple deterministic optimisation, since the behaviour of each candidate solution is to be analysed for several samples characterised by fluctuations (uncertainties) of input variables. The application of MOGT algorithm and Response Surfaces, both available in modeFrontier, will prove their efficiency in the Design under Uncertainties cases proposed in this presentation