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.
|Title of host publication||58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference|
|Publisher||American Institute of Aeronautics and Astronautics Inc. (AIAA)|
|Number of pages||19|
|Publication status||Published - 9 Jan 2017|