3D Lagrangian particle tracking in fluid mechanics
A Schröder, D Schanz - Annual Review of Fluid Mechanics, 2023 - annualreviews.org
In the past few decades various particle image–based volumetric flow measurement
techniques have been developed that have demonstrated their potential in accessing …
techniques have been developed that have demonstrated their potential in accessing …
Simultaneous flow and particle measurements for multiphase flows in hydraulic engineering: A review and synthesis of current state
While multiphase flows are abundant in both natural environments and engineering
applications, their analysis and quantification present challenges. In particular …
applications, their analysis and quantification present challenges. In particular …
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 …
processing. Flow diagnostics with optical techniques is not an exception. Considering the …
GPU-accelerated MART and concurrent cross-correlation for tomographic PIV
X Zeng, C He, Y Liu - Experiments in Fluids, 2022 - Springer
This paper presents a novel Graphics Processing Unit (GPU)-accelerated method for large-
scale data processing of tomographic particle image velocimetry. The multiplicative …
scale data processing of tomographic particle image velocimetry. The multiplicative …
DeepPTV: Particle tracking velocimetry for complex flow motion via deep neural networks
Particle tracking velocimetry (PTV) is a powerful technique for global and nonintrusive flow
field measurement, which shows a great potential to improve the spatial resolution …
field measurement, which shows a great potential to improve the spatial resolution …
Bayesian reconstruction of 3D particle positions in high-seeding density flows
Abstract Measuring particles' three-dimensional (3D) positions using multi-camera images in
fluid dynamics is critical for resolving spatiotemporally complex flows like turbulence and …
fluid dynamics is critical for resolving spatiotemporally complex flows like turbulence and …
Progresses in the research of oceanic freak waves: Mechanism, modeling, and forecasting
In the 1990s, oceanographers realized that the freak waves posed realistic threats to
offshore and marine engineering. Since then, tremendous efforts from both academia and …
offshore and marine engineering. Since then, tremendous efforts from both academia and …
基于深度残差神经网络的光场粒子图像测速粒子场重建方法
傅梦希， 朱效宇， 张良， 许传龙 - Acta Optica Sinica, 2024 - opticsjournal.net
摘要提出一种基于粒子重构卷积神经网络(PRCNN) 模型的快速, 高分辨率粒子场重建方法.
首先, 对原始光场图像进行子孔径图像提取, 构建粒子三维分布-光场子孔径图像数据集; 然后 …
首先, 对原始光场图像进行子孔径图像提取, 构建粒子三维分布-光场子孔径图像数据集; 然后 …
Fast 3D particle reconstruction using a convolutional neural network: application to dusty plasmas
M Himpel, A Melzer - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
We present an algorithm to reconstruct the three-dimensional positions of particles in a
dense cloud of particles in a dusty plasma using a convolutional neural network. The …
dense cloud of particles in a dusty plasma using a convolutional neural network. The …
Reconstruction of particle image velocimetry data using flow-based features and validation index: a machine learning approach
G Akbari, N Montazerin - Measurement Science and Technology, 2021 - iopscience.iop.org
Reconstruction of flow field from real sparse data by a physics-oriented approach is a
current challenge for fluid scientists in the AI community. The problem includes feature …
current challenge for fluid scientists in the AI community. The problem includes feature …