Accurate prediction of flow field in centrifugal compressors using the present turbulence model remains challenging due to intense nonlinearity and strong adverse pressure gradients inherent in the flow. An ensemble-Kalman-filter-based data assimilation (DA) framework is developed to optimize the RNG (renormalization g...
Jia-Ao Gu, Chen-Xing Hu, Zhi-Chao Chai et al.· The Physics of Fluids· 0 citations
A hybrid modelling framework (PMG) that integrates Proper Orthogonal Decomposition, Multilayer Perceptron, Multilayer Perceptron, and Gaussian Process Regression is proposed that demonstrates superior predictive accuracy compared to traditional reduced-order models and deep learning-based approaches.