Unsteady fluid systems are nonlinear high-dimensional dynamical systems that may exhibit
multiple complex phenomena in both time and space. Reduced Order Modeling (ROM) of …

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 …

Large-eddy simulations of the unsteady flows around rectangular prisms with chord-to-depth
ratios (B/D) ranging from 3 to 12 are carried out at a Reynolds number of 1000. A particular …

With the improvement of cavitation prediction, how to extract key information from massive
data of cavitation flow field accurately and quickly has become an urgent requirement …

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 …

In this paper, an effective model (POD-NIROM) is proposed, which makes full use of Long
short-term memory Neural Network (LSTM NN) and proper orthogonal decomposition (POD) …

We present a low-dimensional Galerkin model with state-dependent modes capturing linear
and nonlinear dynamics. Departure point is a direct numerical simulation of the three …

In the present contribution, we analyze the non-stationary, incompressible, laminar, natural
convection flow in a rectangular enclosure filled with a micropolar-nanofluid (Al 2 O 3/water) …

Dynamic mode decomposition (DMD) method is performed to achieve time evolution
information and spatial mode information of the mixing velocity and temperature field …

In this thesis, we develop several techniques for Dynamic Mode Decomposition (DMD)
method to deal with the problem of large flow database analysis. The techniques applied …