Modern Koopman theory for dynamical systems
The field of dynamical systems is being transformed by the mathematical tools and
algorithms emerging from modern computing and data science. First-principles derivations …
algorithms emerging from modern computing and data science. First-principles derivations …
A tutorial on control-oriented modeling and control of wind farms
S Boersma, BM Doekemeijer… - 2017 American …, 2017 - ieeexplore.ieee.org
Wind turbines are often sited together in wind farms as it is economically advantageous.
However, the wake inevitably created by every turbine will lead to a time-varying interaction …
However, the wake inevitably created by every turbine will lead to a time-varying interaction …
[图书][B] Dynamic mode decomposition: data-driven modeling of complex systems
The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …
Data-driven modal decomposition of transient cavitating flow
Y Liu, J Long, Q Wu, B Huang, G Wang - Physics of Fluids, 2021 - pubs.aip.org
The objective of this paper is to identify the dominant coherent structures within cavitating
flow around a Clark-Y hydrofoil using two data-driven modal decomposition methods, proper …
flow around a Clark-Y hydrofoil using two data-driven modal decomposition methods, proper …
Data-driven fluid mechanics of wind farms: A review
N Zehtabiyan-Rezaie, A Iosifidis… - Journal of Renewable and …, 2022 - pubs.aip.org
With the growing number of wind farms over the last few decades and the availability of
large datasets, research in wind-farm flow modeling—one of the key components in …
large datasets, research in wind-farm flow modeling—one of the key components in …
Knowledge-enhanced deep learning for wind-induced nonlinear structural dynamic analysis
Recent advancements of performance-based wind design of tall buildings have placed
increasing importance on effectively modeling of the nonlinear structural dynamic response …
increasing importance on effectively modeling of the nonlinear structural dynamic response …
[HTML][HTML] 动力学模态分解及其在流体力学中的应用
寇家庆, 张伟伟 - 空气动力学学报, 2018 - html.rhhz.net
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 …
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 …
Modal analysis of non-ducted and ducted propeller wake under axis flow
H Shi, T Wang, M Zhao, Q Zhang - Physics of Fluids, 2022 - pubs.aip.org
Modal decomposition techniques, flow field, and spectral analysis are employed to
investigate the wake dynamics and destabilization mechanisms of a four-bladed marine …
investigate the wake dynamics and destabilization mechanisms of a four-bladed marine …
The influence of incoming turbulence on the dynamic modes of an NREL-5MW wind turbine wake
Abstract Knowledge of the dynamics of wind turbine wakes and its dependence on the
incoming boundary layer is fundamental to optimize and control the power production of …
incoming boundary layer is fundamental to optimize and control the power production of …
Flowfield reconstruction method using artificial neural network
J Yu, JS Hesthaven - Aiaa Journal, 2019 - arc.aiaa.org
Multidimensional aerodynamic database development has become more and more
important for the design, control, and guidance of modern aircraft. To relieve the curse of the …
important for the design, control, and guidance of modern aircraft. To relieve the curse of the …