Physics of Fluids, Год журнала: 2025, Номер 37(4)
Опубликована: Апрель 1, 2025
As an important technology in ocean engineering and aerospace fields, the development of flow field super-resolution reconstruction stems from urgent need for high-fidelity analysis. In order to avoid randomness difficulty parameter adjustment caused by machine-learning-based methods reconstruction, this paper uses idea dynamic mode decomposition (DMD), introduces numerical method Schur–Padé real power matrix, proposes a temporal prediction DMD-α, which only matrix manipulation realize periodic at any time. Taking wave formed movement trimaran regular waves as example, selection strategy based on DMD-α is proposed take accuracy efficiency into account. Furthermore, proper orthogonal Kriging surrogate models are combined with arbitrary side-hull layout validate robustness method. The results show that stable, efficient, can obtain prediction, has great potential complex fields optimization design fluid performances various structures.
Язык: Английский