Abstract
Among many structures in Super Sonic Transportation (SST) thin wing, the lug structure which is between the body and the main wing plays important role. In the lug structure, robust topology optimization is necessary to determine the optimal structural lay out solutions insensitive to loading uncertainties for design of the lug structure, because it is subjected many loads that have uncertainties of loading caused by aeroelastic forces. The present paper proposes a method to explore robust topologies in Pareto-solutions of topology optimization problem with multi-loadcase. Pareto-solutions are obtained by using Multi-Objective Evolutionary Algorithms (MOEA). After that to estimate the robustness of topology from Pareto optima solutions Monte Carlo simulations were used. And obtained robust topology solutions are explored by Self-Organizing Map that is an appropriate tool to explore properties of the high dimension data. Finally, proposed method approach is applied for the lug structure robust topology optimization.
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