Abstract
The optimization function for designing is usually not smooth or discontinuous due to numerical noises, which makes the multidisciplinary decoupling and optimization design more difficult. An global multidisciplinary optimization approach with consideration of numerical noises is proposed in this paper. First, the decoupling problem is transferred into optimization in line with the idea of Simultaneous Analysis and Design (SAND). Kriging models are introduced as surrogate models in order to filter the numerical noises, then the location of new samples is determined with the method of Maximum Likelihood Estimation (MLE), in order to reduce repetitive times of decoupling analysis. Second, the multidisciplinary optimization model of coupling systems is set up using the penalty function method. Finally, the proposed model and method is verified through a typical thermalelectrical coupling example.
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