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 …
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 …
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 …
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 …
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 …
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 instantaneous urban airflow distribution can protect pedestrians and objects from high-speed winds and promote high-efficiency natural ventilation. Statistical …
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 …