Kriging Surrogate Model based Optimisation of Welded Bogie Frame for Fatigue Improvement
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Abstract
The welded side frame of intercity Electric Multiple Unit (EMU) bogie frame is taken as the research objective to optimize the layout of its internal stiffeners and to improve its fatigue performance. The fatigue accumulation damage value is computed in side frame for some key welds using Master S-N curve approach and the maximal value of fatigue accumulation damage is considered as a significant constraint to construct a lightweight optimisation model. To solve the optimisation model effectively, a sequential approximate method on the basis of Kriging surrogate model is presented by combining the minimum response surface sampling with multi-island genetic algorithm. The weight of the side frame is reduced by 16% after optimisation, which realized the fatigue improvement.
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