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One of the key challenges in multidisciplinary design is integration of design and analysis methods of various systems in design framework. To achieve Multidisciplinary Design Optimization (MDO) goals of aircraft systems, high fidelity analysis are required from multiple disciplines like aerodynamics, structures or performance. High Fidelity Analysis like Computer-Aided Design and Engineering (CAD/CAE) techniques, complex computer models and computation-intensive analyses/simulations are often used to accurately study the system behaviour towards design optimization. Due to high computational cost and numerical noise associated with these analyses, they cannot be used effectively. The use of surrogates or Response Surface Models (RSM) is one approach in Multi Disciplinary design optimization to avoid the computation barrier and to take care of artificial minima due to numerical noise. This paper brings out a method based on use of “Smart Response Surface Models" to generate surrogate models, with its validated subspace, in the design space around the point of interest with the use of legacy data for MDO. The method has been evaluated on three test cases, which are created based on High Speed Civil Transport (HSCT) Multidisciplinary Design Optimization Test Suite

Smart Response Surface Models using Legacy Data for Multidisciplinary Optimization of Aircraft Systems