Engine subsystem models are not commonly used in design optimization studies as it is computationally expensive to solve these models for a large number of iterations. To reduce the computational cost of such optimizations, a novel multi-fidelity Kriging-based optimization approach is proposed that uses shell FEMs to provide a low-fidelity response and solid FEMs to provide a high-fidelity response. This marks the first time that shell and solid models are used together in a multi-fidelity surrogate modelling approach. The shell FEMs are generated from medial surfaces that are extracted from solid component geometries in a semi-automatic manner. This approach is applied to a case study for optimizing the intercasing subsystem from the CRESCENDO whole engine model. The results show that the optimum design found by the multi-fidelity Kriging approach was on par with the optimum design found by a single-fidelity Kriging approach using only solid FEMs which is more than twice as expensive to run. The shell and solid FEMs were also shown to be well-correlated such that optimization studies employing only the shell FEMs by themselves could generate designs that are feasible with respect to the design constraints imposed on the solid model.
Multi-Fidelity Kriging-Based Optimization of Engine Subsystem Models With Medial Meshes
Yong, HK, Wang, L, Toal, DJJ, Keane, AJ, & Stanley, F. "Multi-Fidelity Kriging-Based Optimization of Engine Subsystem Models With Medial Meshes." Proceedings of the ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. Volume 2D: Turbomachinery. Oslo, Norway. June 11–15, 2018. V02DT46A012. ASME. https://doi.org/10.1115/GT2018-76148
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