Dynamic mode decomposition: Theory and applications

JH Tu - 2013 - search.proquest.com
Used to analyze the time-evolution of fluid flows, dynamic mode decomposition (DMD) has
quickly gained traction in the fluids community. However, the existing DMD literature focuses …

Spectral proper orthogonal decomposition

M Sieber, CO Paschereit… - Journal of Fluid …, 2016 - cambridge.org
The identification of coherent structures from experimental or numerical data is an essential
task when conducting research in fluid dynamics. This typically involves the construction of …

Robust flow reconstruction from limited measurements via sparse representation

JL Callaham, K Maeda, SL Brunton - Physical Review Fluids, 2019 - APS
In many applications it is important to estimate a fluid flow field from limited and possibly
corrupt measurements. Current methods in flow estimation often use least squares …

Review of calculating models of unsteady natural ventilation rate due to wind fluctuations

X Xiao, J Zhou, W Yang - Indoor and Built Environment, 2022 - journals.sagepub.com
Natural ventilation is an important form of sustainable building technique that can be used to
adjust the indoor environment to ensure indoor thermal comfort and maintain acceptable …

Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry …

X Jin, S Laima, WL Chen, H Li - Experiments in Fluids, 2020 - Springer
Particle image velocimetry (PIV) has been extensively used in wind-tunnel test for flow-field
measurement. However, the sampling frequency of traditional PIV is low and physics of flow …

物理增强的流场深度学习建模与模拟方法

金晓威, 李惠 - 力学学报, 2021 - lxxb.cstam.org.cn
流体运动理论上可用Navier− Stokes 方程描述, 但由于对流项带来的非线性,
仅在少数情况可求得方程解析解. 对于复杂工程流动问题, 数值模拟难以高效精准计算高雷诺数 …

DeepTRNet: Time-resolved reconstruction of flow around a circular cylinder via spatiotemporal deep neural networks

S Laima, X Zhou, X Jin, D Gao, H Li - Physics of Fluids, 2023 - pubs.aip.org
We propose spatiotemporal deep neural networks for the time-resolved reconstruction of the
velocity field around a circular cylinder (DeepTRNet) based only on two flow data types: the …

PIV measurements of turbulent flows in a 61-pin wire-wrapped hexagonal fuel bundle

T Nguyen, N Goth, P Jones, S Lee, R Vaghetto… - International Journal of …, 2017 - Elsevier
The current work experimentally investigates the flow characteristics in the near-wall region
of the 61-pin wire-wrapped hexagon fuel bundle via the matched-index-of-refraction …

Fast estimation of airflow distribution in an urban model using generative adversarial networks with limited sensing data☆

C Hu, H Kikumoto, B Zhang, H Jia - Building and Environment, 2024 - Elsevier
Fast estimation of instantaneous urban airflow distribution can protect pedestrians and
objects from high-speed winds and promote high-efficiency natural ventilation. Statistical …

Machine learning for flow field measurements: a perspective

S Discetti, Y Liu - Measurement Science and Technology, 2022 - iopscience.iop.org
Advancements in machine-learning (ML) techniques are driving a paradigm shift in image
processing. Flow diagnostics with optical techniques is not an exception. Considering the …