Hongqiang Ma

Application of data driven POD reduced order model to helical cruciform fuel rod bundle

To enable efficient and accurate prediction of coolant thermal–hydraulic characteristics in helical cruciform fuel rod bundle channels, a data-driven rapid prediction framework is developed by combining proper orthogonal decomposition (POD) with surrogate models. Optimal Latin hy...