Abstract
This paper presents a method for predicting and improving the response of the engine mount using hybrid modeling technique and Bayesian optimization. The hybrid modeling technique based on the FRF based substructuring (FBS) theory can improve the accuracy of results and reduce the required time and cost compared to full-FE analysis using both experimental and finite element results. Using FBS theory, a transfer function of complex system can be changed to transfer function of several simple substructures. At this time, the hybrid modeling technique replaces the transfer function of a specific substructure with the result of FE analysis. Using this method, it is possible to predict the effect of the design change in the entire system by changing the CAD model design for the substructure applied to FE analysis. Furthermore, an optimal design is proposed by applying the Bayesian optimization technique.
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