随着计算流体力学和先进流动测试技术的发展, 流动的刻画越来越精细, 伴随而来的海量流场
信息的模态提取与复杂动力学特征的模型化成为当前流体力学的研究热点. 动力学模态分解 …

This study proposes an improvement in the performance of reduced-order models (ROMs)
based on dynamic mode decomposition to model the flow dynamics of the attractor from a …

This work proposes a data-driven reduced-order modeling algorithm for complex, high-
dimensional, and unsteady fluid systems with exogenous input and control. This algorithm is …

Numerical simulations are carried out to investigate the flow around a stationary sphere in a
pipe. Seven sphere diameters d= 0.1D–0.9D (D is the diameter of the pipe) are chosen to …

This article presents a reduced order model of the highly turbulent wind turbine wake
dynamics. The model is derived using a database of Large Eddy Simulations (LES), which …

Reduced-ordermodelsareessentialfortheaccurateand…, estimation, and control of complex
systems. This is especially true in fluid dynamics, where the fully resolved state space may …

A recent approach in modelling coherent structures in fluid flows, called Recursive Dynamic
Mode Decomposition, is presented on the example of the flow around two square cylinders …

Gas–solid fluidized beds exhibit characteristic, reappearing patterns. External parameter
variations or coupling between internal processes superpose a transient behavior on top of …

Reduced order modeling (ROM) methods, such as those based upon Proper Orthogonal
Decomposition (POD) and Dynamic Mode Decomposition (DMD), offer data-based …

This work deals with the drag forces acting on non-spherical particles translating normal to a
surface in a polymer melt in which the particle–surface distance is small compared with …