Decoupling mode-based shape optimization method for vehicle door in conceptual design stage. (English)

In order to improve the static stiffness of vehicle door, this paper used HDMR (high dimensional model representation) based multi-parameters decoupling theory combined with Morph technology to optimize main cross section shapes of a vehicle door in the conceptual design stage. It compared with other popular metamodel techniques, this method could identify the coupling relationships among shape variables by a few sample points, and then decomposed the high-dimensional problem into a series of low-dimensional sub-problems, so it could improve the efficiency remarkably without loss of accuracy. It adopted Kriging model to construct the terms of Cut-HDMR and then abtained the displacement approximate models of investigated points under five stiffness conditions. Based on the Kriging-HDMR models, then it used NSGA-II (non-dominated sorting based genetic algorithm) to optimize the approximate model. The results show that it lightens the weight of the vehicle door and improves both the vertical stiffness and the torsional stiffness. [ABSTRACT FROM AUTHOR]

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