Synthesis of design solutions for preliminary aerodynamic design of an advanced supersonic transport under parametric epistemic uncertainty

The paper considers the problem of parametric synthesis of design solutions at the stage of preliminary aerodynamic design of an advanced supersonic transport (SST) under epistemic uncertainty. To solve such a problem, optimization models were developed with objective functions and constraints depending on the input and optimizable uncertain parameters, information on which is formed on the basis of expert estimates. The non-deterministic representation of such parameters is formed on the basis of the uncertainty theory by Dr Baoding Liu (Tsinghua University, China), which provides low computational complexity for a wide range of objective functions and constraints at the stage of preliminary aerodynamic design. With the use of the developed non-deterministic optimization models, typical problems of the synthesis of SST design parameters under epistemic uncertainty are formulated and solved.