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Publication - Professor Mark Lowenberg

    Optimization of Aerospace Structures Under Uncertainty Using an Iterative Distribution Evolutionary Algorithm

    Citation

    Tartaruga, I, Lowenberg, MH, Cooper, JE, Sartor, PN & Lemmens, Y, 2017, ‘Optimization of Aerospace Structures Under Uncertainty Using an Iterative Distribution Evolutionary Algorithm’. in: 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA)

    Abstract

    An Iterative Differential Evolutionary Algorithm is proposed for the optimized identification of sets of parameter values for a system whose analysis is very time demanding and for which it is difficult to identify and define the optimum set. The algorithm is an evolutionary technique and reduces the number of evaluations required for both numerical and experimental systems thanks to an iterative procedure. It exploits geometrical considerations to distribute the points to be investigated in the considered parameter space, and SVD/metamodeling based techniques to further decrease the computational burden. The developed strategy aims to minimize the probability of failure, guaranteeing a reliable optimum, providing an understanding of the acceptable range of uncertainties and keeping robustness. The approach is validated considering the optimization of landing gear designs minimizing the probability of occurrence of shimmy phenomena during ground manoeuvres.

    Full details in the University publications repository