Parametric modelling of unsteady load for turbine cascade and its application in clocking effect optimization and load-reduction

Wei, Haibo; Cao, Zhifu; Li, Teng; Fan, Jia; Chen, Ce; Yao, Jianyao

doi:10.1016/j.ast.2022.107669

Cited by 4 publications

(1 citation statement)

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“…The circumferential phase difference between adjacent stators or rotors in turbomachines causes the mixing loss and energy change variation, intensifying the unsteady characteristics of the flow field. This phenomenon was named the clocking effect in previous studies [45][46][47][48].…”

Section: Turbine Flows With Clocking Effectmentioning

confidence: 90%

Non-Intrusive Reduced-Order Modeling Based on Parametrized Proper Orthogonal Decomposition

Li,

Pan,

Zhou

et al. 2023

Energies

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A new non-intrusive reduced-order modeling method based on space-time parameter decoupling for parametrized time-dependent problems is proposed. This method requires the preparation of a database comprising high-fidelity solutions. The spatial bases are extracted from the database through first-level proper orthogonal decomposition (POD). The algebraic relationship between the time trajectory/parameter positions and the projection coefficient is described by the linear superposition of the second-level POD bases (temporal bases) and the second-level projection coefficients (parameter-dependent coefficients). This decomposition strategy decouples the space-time parameter effects, providing a stable foundation for fast predictions of parametrized time-dependent problems. The mappings between the parameter locations and the parameter-dependent coefficients are approximated as Gaussian process regression (GPR) models. The accuracy and efficiency of the PPOD-ROM are demonstrated through two numerical examples: flows past a cylinder and turbine flows with a clocking effect.

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Section: Turbine Flows With Clocking Effectmentioning

confidence: 90%