A method is presented to treat complex experimental flow data resulting from PIV. The
method is based on an appropriate combination of higher order singular value …

This paper deals with an extension of dynamic mode decomposition (DMD), which is
appropriate to treat general periodic and quasi-periodic dynamics, and transients decaying …

Koopman operator theory has proven to be a promising approach to nonlinear system
identification and global linearization. For nearly a century, there had been no efficient …

Wind pressures on buildings with different aspect ratios were investigated via higher-order
dynamic mode decomposition (HODMD) in this study. Taken's embedding theorem was …

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 article shows the capability of using a higher order dynamic mode decomposition
(HODMD) algorithm both to identify flow patterns and to extrapolate a transient solution to …

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 …

The decay of trailing vortices is a fundamental problem in fluid mechanics and constitutes
the basis of control applications that intend to alleviate the wake hazard. In order to …

The present article investigates the application of deep learning methods to monitor
combustion instabilities based on time-averaged flame images. Experiments on BASIS …

In this work we present an advanced computational pipeline for the approximation and
prediction of the lift coefficient of a parametrized airfoil profile. The non-intrusive reduced …